A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _ 

A

A - Static variable in class edu.ucla.stat.SOCR.util.Anova
 
A_i0 - Static variable in class edu.ucla.stat.SOCR.util.BesselFunction
Chebyshev coefficients for exp(-x) I0(x) in the interval [0,8].
A_i1 - Static variable in class edu.ucla.stat.SOCR.util.BesselFunction
Chebyshev coefficients for exp(-x) I1(x) / x in the interval [0,8].
A_k0 - Static variable in class edu.ucla.stat.SOCR.util.BesselFunction
COEFFICIENTS FOR METHODS k0, k0e *
A_k1 - Static variable in class edu.ucla.stat.SOCR.util.BesselFunction
COEFFICIENTS FOR METHODS k1, k1e *
AB - Static variable in class edu.ucla.stat.SOCR.util.Anova
 
ABC - Static variable in class edu.ucla.stat.SOCR.util.Anova
 
ABOUT - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
ABOUT - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
ABOUT - Static variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
ABOUT - Static variable in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
ABOUT - Static variable in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
ABOUT - Variable in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
ABOUT - Variable in class edu.ucla.stat.SOCR.core.SOCRGames
 
ABOUT - Static variable in class edu.ucla.stat.SOCR.core.SOCRJRIAnalyses
 
AboutDialog - Class in edu.ucla.stat.SOCR.util
This class gives author, copyright, version, and other metadata information when the user clicks on the About button.
AboutDialog(Frame, String) - Constructor for class edu.ucla.stat.SOCR.util.AboutDialog
This method creates a new About Dialog with a specified frame owner and a specified message.
ABOVE - Static variable in class edu.uah.math.devices.Graph
 
ABOVE - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
ABOVE - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
ABOVE - Static variable in class edu.ucla.stat.SOCR.util.Graph
 
ABS_DIFF - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
AC - Static variable in class edu.ucla.stat.SOCR.util.Anova
 
accept(File) - Method in class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Return true if this file should be shown in the directory pane, false if it shouldn't.
accept(File, String) - Method in class edu.ucla.stat.SOCR.util.PluginLoader
 
ACE - Static variable in class edu.uah.math.devices.Card
 
ACE - Static variable in class edu.ucla.stat.SOCR.util.Card
 
actionPerformed(ActionEvent) - Method in class edu.uah.math.devices.DieProbabilityDialog
This method handles the events associated with selecting a button for a special distribution.
actionPerformed(ActionEvent) - Method in class edu.uah.math.devices.ProbabilityDialog
This message handles the event generated when the user clicks on a button.
actionPerformed(ActionEvent) - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
This method handles the events associated with selecting a button for a special distribution.
actionPerformed(ActionEvent) - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
This method handles the events associated with selecting a button for a special distribution.
actionPerformed(ActionEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
This message handles the event generated when the user clicks on a button.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method handles the timer events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method handles the timer events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method handles the events associated with the timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.BirthdayExperiment
This method handles the events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.CardExperiment
This method handles the timer events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
This method handles the button events associated with buttons that show the die probability dialog box.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.ChuckALuckExperiment
This method handles the events associated with the step timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.CoinDieExperiment
This method handles the button events associated with changes in the die probabilities.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.CoinSampleExperiment
This method handles the timer events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method handles the timer events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method handles the events associated with the step timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.CrapsExperiment
This method handles the events associated with the step timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.DiceExperiment
This method handles the events associated with the die probabilities button and with the step timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.DiceSampleExperiment
 
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.DieCoinExperiment
This method handles the events associated with step timer and with the die probabilty dialog button.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.Experiment
This method handles the action events associated with the simulation buttons.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method handles the events associated with the timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This method handles the events associated with the step timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.GaltonBoardExperiment
 
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.Game
This method handles the events for the About button and the Reset button.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.GammaExperiment
This method handles the events associated with the timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method handles the timer events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.MarkovChainExperiment
This method handles the action event associated with the probability button.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.MatchExperiment
This method handles events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.MontyHallExperiment
This method handles the events associated with the step timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method handles the events associated with the timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.PointExperiment
This method handles events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.PoissonExperiment
This method handles the events associated with the timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method handles the events associated with the timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method handles the timer events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.PokerExperiment
This method handles the timer events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.QuantileApplet
This method handles the events associated with changes in the text fields (the quantile field and the probability field), and handles events associated with the about button.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.RedBlackExperiment
This method handles the timer events associated with the step process.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.RouletteExperiment
This method handles the events associated with the step timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
 
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.SpinnerExperiment
This method handles the events for the probability button.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.UrnExperiment
This method handles the events associated with the timer.
actionPerformed(ActionEvent) - Method in class edu.uah.math.experiments.VoterExperiment
This method handles the events for the probability button.
actionPerformed(ActionEvent) - Method in class edu.uah.math.games.GaltonBoardGame
This method handles the actions associated with the left and right buttons.
actionPerformed(ActionEvent) - Method in class edu.uah.math.games.Game
This method handles the events for the About button and the Reset button.
actionPerformed(ActionEvent) - Method in class edu.uah.math.games.MontyHallGame
This method handles the events for the Play button.
actionPerformed(ActionEvent) - Method in class edu.uah.math.games.RedBlackGame
This method handles the events associated with the play and new game buttons.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method handles the action events associated with the action buttons in the Analysis Control JTabbedPane (Panel).
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method handles the action events associated with the action buttons in the Analysis Control JTabbedPane (Panel).
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.chart.gui.Rotator
Modifies the starting angle.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.Experiment
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.Game
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
This method handles the events for the About button and the Reset button.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.sampler
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRApplications
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRGames
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.core.WaveletLoader
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method handles the events associated with the die probabilities button and with the step timer.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This method handles the events associated with the changing the Multinomial probabilities or x-values.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
This method handles the events associated with the changing the Multinomial probabilities or x-values.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.distributome.editor.DistributomeEditor
Performs the specified action.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
ActionListener implementation method
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
ActionListener implementation method
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.experiments.CoinDieExperiment
This method handles the button events associated with changes in the die probabilities.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.experiments.DiceExperiment
This method handles the events associated with the die probabilities button.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.experiments.DiceSampleExperiment
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.experiments.DieCoinExperiment
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.experiments.SpinnerExperiment
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.games.BivariateGame
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.games.GaltonBoardGame
This method handles the actions associated with the left and right buttons.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.games.MontyHallGame
This method handles the events for the Play button
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.games.RedBlackGame
This method handles the events associated with the buttons.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
Invoked when an action occurs.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
Invoked when an action occurs.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl.PlayerEventListener
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.util.AboutDialog
This message handles the event generated when the user clicks on the OK button; the dialog is disposed.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.util.DieProbabilityDialog
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
This method is activated on the Keystrokes we are listening to in this implementation.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.util.ExcelAdapter
This method is activated on the Keystrokes we are listening to in this implementation.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.util.PlayButton
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
This message handles the event generated when the user clicks on the OK button; the dialog is disposed.
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
actionPerformed(ActionEvent) - Method in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
ActiveBar - Class in edu.ucla.loni.LOVE.colormap
 
ActiveBar() - Constructor for class edu.ucla.loni.LOVE.colormap.ActiveBar
Default constructor.
ActiveBar(BoundedColorMap, int) - Constructor for class edu.ucla.loni.LOVE.colormap.ActiveBar
 
add(SurvivalObject) - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
add(SurvivalObject) - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
ADD - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
ADD - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
ADD - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
add(int, double[], double[], int[]) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
 
add(double) - Method in class edu.ucla.stat.SOCR.util.Frequency
 
add(Matrix, Matrix) - Static method in class edu.ucla.stat.SOCR.util.Matrix
 
addActionTrigger(MouseListener) - Method in class edu.ucla.stat.SOCR.distributome.gui.LinkLabel
 
addActionTrigger(MouseListener) - Method in class edu.ucla.stat.SOCR.distributome.gui.LoadAndShowFormula
 
addAHead(int) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method adds a Head at a specified time index.
addAHead() - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method adds a Head at the next index.
addATail(int) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method adds a Tails at a specified time index.
addATail() - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method adds a Tails at the next index.
addButton(String, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addButton(String, String, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addButton(JButton) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addButton(String, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addButton(String, String, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addButton(JButton) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addButton(String, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addButton(String, String, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addButton(JButton) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addButton1 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
addButton1 - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
addButton1 - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
addButton2 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
addButton2 - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
addButton2 - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
addButton2(String, String, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addButton2(String, String, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addButton2(String, String, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addButton3 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
addButton3 - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
addButton3 - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
addButtonCensor() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
addButtonCensor() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
addButtonDependent() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
addButtonDependent() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
addButtonGroupNames() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
addButtonGroupNames() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
addButtonIndependent() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
addButtonPullout() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
addButtonTime() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
addButtonTime() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
addChangeListener(DatasetChangeListener) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Registers an object for notification of changes to the dataset.
addChangeListener(DatasetChangeListener) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Registers an object for notification of changes to the dataset.
addChangeListener(ChartChangeListener) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Registers an object for notification of changes to the chart.
addChangeListener(ChangeListener) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
Adds a ChangeListener to the player control.
addComponent(Component, int, int, int, int, int, int) - Method in class edu.uah.math.experiments.Experiment
This method adds a component to the component panel at a specified row and column, specified row span and column span, and specified horizontal and vertical weights.
addComponent(Component, int, int, int, int, int) - Method in class edu.uah.math.experiments.Experiment
This method adds a component to the component panel at a specified row and column, with a specified row span and column span, and specified fill parameter.
addComponent(Component, int, int, int, int) - Method in class edu.uah.math.experiments.Experiment
This method adds a component to the component panel at a specified row and column, with a specified row span and column span, and with default horizontal and vertical weights.
addComponent(Component, int, int, int, int, int, int) - Method in class edu.uah.math.experiments.Game
This method adds a component to the component panel at a specified row and column, specified row span and column span, and specified horizontal and vertical weights.
addComponent(Component, int, int, int, int, int) - Method in class edu.uah.math.experiments.Game
This method adds a component to the component panel at a specified row and column, specified row span and column span, and specified fill parameter.
addComponent(Component, int, int, int, int) - Method in class edu.uah.math.experiments.Game
 
addComponent(Component, int, int, int, int, int, int) - Method in class edu.uah.math.games.Game
This method adds a component to the component panel at a specified row and column, specified row span and column span, and specified horizontal and vertical weights.
addComponent(Component, int, int, int, int, int) - Method in class edu.uah.math.games.Game
This method adds a component to the component panel at a specified row and column, specified row span and column span, and specified fill parameter.
addComponent(Component, int, int, int, int) - Method in class edu.uah.math.games.Game
 
addComponent(Container, Component, int, int, int, int, int, int, int, int) - Static method in class edu.ucla.stat.SOCR.util.GUIUtil
Adds a component into a container component of GridBagLayout.
addComponent(Container, Component, int, int, int, int) - Static method in class edu.ucla.stat.SOCR.util.GUIUtil
 
addComponent(Container, Component, GridBagConstraints) - Static method in class edu.ucla.stat.SOCR.util.GUIUtil
 
addComponents() - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
addDataPoint() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
addEdge(int, int) - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
addEdge(int, int, int, String, int, int[], int, int, int[]) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
INTERACTION HANDLING METHODS
addEdge(Edge) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
addEdgeCell(Edge, int, int) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
addExtension(String) - Method in class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Adds a filetype "dot" extension to filter against.
addFormula(int, String, String) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
addFormula(Formula) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
addGraph(Component) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
This method adds a new component usually a graph to the center panel.
addInput2Pane(String, Component, JPanel, int) - Static method in class edu.ucla.stat.SOCR.util.GUIUtil
add the component with the label at left to the JPanel at row
addItem(String, int, Color) - Method in class edu.ucla.stat.SOCR.gui.GraphBase
 
addItem(String, int) - Method in class edu.ucla.stat.SOCR.gui.GraphBase
 
addItem(String, int, Color) - Method in class edu.ucla.stat.SOCR.gui.PieChart
 
addJButton(JButton) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
addJCheckBox(JCheckBox) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addJCheckBox(JCheckBox) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addJCheckBox(JCheckBox) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addJCheckBox(JCheckBox) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
addJComboBox(JComboBox) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
addJLabel(String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addJLabel(String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addJLabel(String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addJPanel(JPanel) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addJPanel(JPanel) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addJPanel(JPanel) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addJScrollPane(JScrollPane) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addJScrollPane(JScrollPane) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addJScrollPane(JScrollPane) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addJTextField(JTextField) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addJTextField(JTextField, JLabel) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addJTextField(JTextField) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addJTextField(JTextField) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addJTextField(JTextField, JLabel) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addJTextField(JTextField) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
addKernels() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
addListeners() - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
addMainLoopCallbacks(RMainLoopCallbacks) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
addNewNode - Variable in class edu.ucla.stat.SOCR.distributome.EditorApplet
 
addNode(String, int, int) - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
addNode(String, int, int, Color) - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
addNode(int, String, int, int[], int, String, int, String[], int, int[]) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
mini func name that gets displayed next to a member node if so desire - defunct in AC's version
addNode(SOCRNode) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
addNode(int) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
add node
addNodeCell(SOCRNode, Color) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
addNumberAtRisk(SurvivalObject) - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.core.ComponentSetter
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
addObserver(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.core.sampler
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.core.ValueSetter
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.core.WaveletLoader
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.util.FloatSlider
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.util.FloatTextField
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.util.ValueSlider
 
addObserver(Observer) - Method in class edu.ucla.stat.SOCR.util.ValueSliderFloat
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
This method resets the experiment, including the scatterplot, the record table, and the statistics table.
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
This method resets the experiment, including the scatterplot, the record table, and the statistics table.
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
addParams(JPanel) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
addPoint(double, double, Color) - Method in class edu.uah.math.devices.ScatterPlot
This method adds a specified data point of a specified color to the dataset.
addPoint(double, double) - Method in class edu.uah.math.devices.ScatterPlot
This method adds a specified data point of default color red to the dataset.
addPoint(Color) - Method in class edu.uah.math.devices.ScatterPlot
This method adds a random data point of a specified color to the dataset.
addPoint() - Method in class edu.uah.math.devices.ScatterPlot
This method adds a random data point of default color red to the dataset.
addPoint(SOCRPoint2D) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
addPoint(double, double) - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method adds a specified data point to the dataset
addPoint() - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method adds a random data point to the dataset
addPredictor(int[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
appendX with two parameters
addPredictor(long[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addPredictor(float[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addPredictor(double[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addPredictor(String[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addPredictor(String, String[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
appendY with three parameters
addPredictor(String, double[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addPredictor(String, Object[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addPredictor(int[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
appendX with two parameters
addPredictor(long[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addPredictor(float[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addPredictor(double[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addPredictor(String[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addPredictor(String, String[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
appendY with three parameters
addPredictor(String, double[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addPredictor(String, Object[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addPropertyChangeListener(PropertyChangeListener) - Method in interface edu.ucla.loni.LOVE.BoundedModel
Add a PropertyChangeListener to this model.
addPropertyChangeListener(PropertyChangeListener) - Method in class edu.ucla.loni.LOVE.BoundedModelImpl
Add a PropertyChangeListener to this model.
addRadioButton(int, int, String, String, String[], int, JPanel, ActionListener) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
addRadioButton(String, String, String[], int, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
addRadioButton(String, String, String[], int, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addRadioButton(String, String, String[], int, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
addRadioButton2(String, String, String[], int, ActionListener) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addRadioButton2Left(String, String, String[], int, ActionListener) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
addRadioButtons(JPanel, String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
addRandomPts2Storage() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
addRecord(double[]) - Method in class edu.uah.math.devices.RecordTable
This method adds a record to the table.
addRef(int, int, String[], String, String, String, String, String) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
addRef(Reference) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
addResponse(int[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
appendY with two parameters
addResponse(long[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addResponse(float[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addResponse(double[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addResponse(String[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addResponse(String, String[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addResponse(String, double[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addResponse(String, Object[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addResponse(int[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
appendY with two parameters
addResponse(long[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addResponse(float[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addResponse(double[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addResponse(String[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addResponse(String, String[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addResponse(String, double[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addResponse(String, Object[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addRow(String) - Method in class edu.ucla.stat.SOCR.analyses.data.DataFrame
 
addSignificanceLevel(double) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
addSignificanceLevel(double) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
addSlider() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
addTabbedPane(String, JComponent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method add a new component to the tabbed panel.
addTabbedPane(String, Icon, JComponent, String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method add a new component to the tabbed panel.
addTabbedPane(String, JComponent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method add a new component to the tabbed panel.
addTabbedPane(String, Icon, JComponent, String) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method add a new component to the tabbed panel.
addTabbedPane(String, JComponent) - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
addTabbedPane(String, JComponent) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
This method add a new component to the tabbed panel.
addTabbedPane(String, Icon, JComponent, String) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
This method add a new component to the tabbed panel.
addTabbedPane(String, JComponent) - Method in class edu.ucla.stat.SOCR.chart.Chart
This method add a new component to the tabbed panel.
addTabbedPane(String, Icon, JComponent, String) - Method in class edu.ucla.stat.SOCR.chart.Chart
This method add a new component to the tabbed panel.
addTabbedPane(String, JComponent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
addTable(Component) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
This method adds a new component usually a text areas to the bottom panel
addTime(double, Color) - Method in class edu.uah.math.devices.Timeline
This method adds a new time with a specified color.
addTime(double) - Method in class edu.uah.math.devices.Timeline
This method adds a new time with the default color red.
addTime(Color) - Method in class edu.uah.math.devices.Timeline
This method adds a new time point of a specified color that is uniformly distributed on the domain.
addTime() - Method in class edu.uah.math.devices.Timeline
This method adds a new time point of the default color red that is uniformly distributed on the domain.
addTime(double) - Method in class edu.ucla.stat.SOCR.util.Timeline
This method adds a new point with the default color
addTime(double, Color) - Method in class edu.ucla.stat.SOCR.util.Timeline
This method adds a new time with a specified color
addTool(Component) - Method in class edu.uah.math.experiments.EstimateExperiment
This method adds a new component to the second toolbar.
addTool(Component) - Method in class edu.uah.math.experiments.Experiment
This method adds a tool to the main toolbar, in the next to the last position (just before the About button).
addTool(Component) - Method in class edu.uah.math.experiments.Game
This method adds a tool to the main toolbar, in the next to the last position (just before the About button).
addTool(Component) - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method adds a new component to the second toolbar.
addTool(Component) - Method in class edu.uah.math.games.Game
This method adds a tool to the main toolbar, in the next to the last position (just before the About button).
addTool(Component) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
This method adds a new component (such as a button) to the main toolbar.
addTool2(JComponent) - Method in class edu.ucla.stat.SOCR.applications.Application
 
addTool2(Component) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
This method adds a new component (such as a button) to the second toolbar.
addToolBar(Component) - Method in class edu.uah.math.experiments.Experiment
This method adds a new component to the toolbar panel.
addToolBar(Component) - Method in class edu.uah.math.experiments.Game
This method adds a new component to the top panel.
addToolBar(Component) - Method in class edu.uah.math.games.Game
This method adds a new component to the top panel.
addToolbar(Component) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
to add the second tool bar
addToVarList(String) - Method in class edu.ucla.stat.SOCR.analyses.xml.AnalysisOutput
 
addX(int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
ADJUSTED_PROPORTION_P - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
ADJUSTED_PROPORTION_Q - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
ADJUSTED_SE_P - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
ADJUSTED_SE_Q - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
adjustmentValueChanged(AdjustmentEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
adjustmentValueChanged(AdjustmentEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
adjustmentValueChanged(AdjustmentEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRApplications
 
adjustmentValueChanged(AdjustmentEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
adjustmentValueChanged(AdjustmentEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
adjustmentValueChanged(AdjustmentEvent) - Method in class edu.ucla.stat.SOCR.experiments.FireExperiment
This method handles the scrollbar events associated with changes in the fire-spread probabilities.
adjustmentValueChanged(AdjustmentEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
adjustmentValueChanged(AdjustmentEvent) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
adjustmentValueChanged(AdjustmentEvent) - Method in class edu.ucla.stat.SOCR.util.FloatSlider
 
adjustmentValueChanged(AdjustmentEvent) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
AdRect(int, Graphics) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
ALL - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
ALL - Static variable in class edu.ucla.stat.SOCR.chart.Chart
 
allAreCensored() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
ALPHA - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
ALPHA - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
estimated intercept of The model.
alpha - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
ALPHA - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
estimated intercept of The model.
alpha - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
alpha - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
ALPHA - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
ALPHA - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
ALPHA - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
estimated intercept of The model.
alpha - Variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
ALPHA_P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
The p-value of testing if ALPHA equals to zero.
ALPHA_P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
The p-value of testing if ALPHA equals to zero.
ALPHA_P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The p-value of testing if ALPHA equals to zero.
ALPHA_SE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
estimated standard deviation of The intercept ALPHA.
ALPHA_SE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
estimated standard deviation of The intercept ALPHA.
ALPHA_SE - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
estimated standard deviation of The intercept ALPHA.
ALPHA_T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
The p-value of testing if ALPHA equals to zero.
ALPHA_T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
The p-value of testing if ALPHA equals to zero.
ALPHA_T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The p-value of testing if ALPHA equals to zero.
alphaParamField - Variable in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
alphaParams - Variable in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
alphaPValue - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
alphaPValue - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
alphaPValue - Variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
alphaSE - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
alphaSE - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
alphaSE - Variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
alphaTStat - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
alphaTStat - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
alphaTStat - Variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
Analysis - Class in edu.ucla.stat.SOCR.analyses.gui
This class defines a basic type of Statistical Analysis procedure that can be subclassed by the specific types of analyses (e.g., ANOVA, Regression, prediction, etc.)
Analysis() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
analysis - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
Analysis - Class in edu.ucla.stat.SOCR.analyses.jri.gui
This class defines a basic type of Statistical Analysis procedure that can be subclassed by the specific types of analyses (e.g., ANOVA, Regression, prediction, etc.)
Analysis() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
analysis - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
Analysis - Interface in edu.ucla.stat.SOCR.analyses.model
 
ANALYSIS_SERVLET - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.ServletConstant
 
ANALYSIS_SERVLET - Static variable in class edu.ucla.stat.SOCR.analyses.ri.ServletConstant
 
ANALYSIS_SERVLET - Static variable in class edu.ucla.stat.SOCR.analyses.server.ServletConstant
 
analysisDescription - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
analysisDescription1 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
analysisDescription2 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
analysisDescription3 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
analysisDescription4 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
analysisDescription5 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
analysisDescription6 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
analysisDescription7 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
analysisName - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
analysisName - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
AnalysisOutput - Class in edu.ucla.stat.SOCR.analyses.xml
 
AnalysisOutput() - Constructor for class edu.ucla.stat.SOCR.analyses.xml.AnalysisOutput
 
AnalysisPanel - Class in edu.ucla.stat.SOCR.analyses.gui
 
AnalysisPanel(SOCRAnalyses) - Constructor for class edu.ucla.stat.SOCR.analyses.gui.AnalysisPanel
 
AnalysisPanel - Class in edu.ucla.stat.SOCR.analyses.jri.gui
 
AnalysisPanel(SOCRAnalyses) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.gui.AnalysisPanel
 
AnalysisResult - Class in edu.ucla.stat.SOCR.analyses.jri.result
 
AnalysisResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.AnalysisResult
 
AnalysisResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.AnalysisResult
 
AnalysisResult(String) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.AnalysisResult
 
AnalysisResult(Document) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.AnalysisResult
 
AnalysisResult - Class in edu.ucla.stat.SOCR.analyses.result
 
AnalysisResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.AnalysisResult
 
AnalysisResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.AnalysisResult
 
AnalysisResult(String) - Constructor for class edu.ucla.stat.SOCR.analyses.result.AnalysisResult
 
AnalysisResult(Document) - Constructor for class edu.ucla.stat.SOCR.analyses.result.AnalysisResult
 
analysisType - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
analysisType - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
AnalysisType - Class in edu.ucla.stat.SOCR.analyses.model
 
AnalysisType() - Constructor for class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
AnalysisUtility - Class in edu.ucla.stat.SOCR.util
 
AnalysisUtility() - Constructor for class edu.ucla.stat.SOCR.util.AnalysisUtility
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.JRIAnalysis
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
analyze(Data, short) - Method in interface edu.ucla.stat.SOCR.analyses.model.Analysis
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.AnovaOneWay
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.AnovaTwoWay
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.ChiSquareContingencyTable
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.DichotomousProportion
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.FlignerKilleen
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.KolmogorovSmirnoff
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.MultiLinearRegression
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.OneT
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.SimpleLinearRegression
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.Survival
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentFriedman
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentKruskalWallis
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentT
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentWilcoxon
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.TwoPairedSignedRank
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.model.TwoPairedT
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
analyze(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.ri.RIAnalysis
 
ANCOVA - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
AndersonDarlingDistribution - Class in edu.ucla.stat.SOCR.distributions
This class defines the Anderson-Darling distribution with a specifed parameter n>=1.
AndersonDarlingDistribution(int) - Constructor for class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
This general constructor creates a new Anderson-Darling distribuiton with a specified parameter number of independent observations (degrees)
AndersonDarlingDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
 
AnimatedSamplePane - Class in edu.ucla.stat.SOCR.gui
 
AnimatedSamplePane() - Constructor for class edu.ucla.stat.SOCR.gui.AnimatedSamplePane
 
animationDelay - Variable in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
animationTimer - Variable in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
anova() - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
Anova - Class in edu.ucla.stat.SOCR.util
 
Anova() - Constructor for class edu.ucla.stat.SOCR.util.Anova
 
Anova(double[], double[]) - Constructor for class edu.ucla.stat.SOCR.util.Anova
 
Anova(double[], double[], double[]) - Constructor for class edu.ucla.stat.SOCR.util.Anova
 
Anova(double[], double[], double[], double[]) - Constructor for class edu.ucla.stat.SOCR.util.Anova
 
ANOVA_ONE_WAY - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
ANOVA_ONE_WAY_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_ONE_WAY_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_ONE_WAY_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_ONE_WAY_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_ONE_WAY_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_ONE_WAY_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_ONE_WAY_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_THREE_WAY - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
ANOVA_TWO_WAY - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
ANOVA_TWO_WAY_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_TWO_WAY_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_TWO_WAY_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_TWO_WAY_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_TWO_WAY_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_TWO_WAY_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_TWO_WAY_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ANOVA_TWO_WAY_INTERACTION - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
ANOVA_Y_GROUP_MEANS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
ANOVA_Y_GROUP_MEANS - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
ANOVA_Y_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
ANOVA_Y_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
ANOVAExampleData - Class in edu.ucla.stat.SOCR.util
Example data generator for ANOVA & other statistical applets.
ANOVAExampleData(int) - Constructor for class edu.ucla.stat.SOCR.util.ANOVAExampleData
constructor method for t-Test example data
ANOVAExampleData() - Constructor for class edu.ucla.stat.SOCR.util.ANOVAExampleData
Constructor method for simple data generation for regression/correlation tests
ANOVAExampleData(int, int) - Constructor for class edu.ucla.stat.SOCR.util.ANOVAExampleData
Constructor method for sampel data for ANOVA analysis.
anovaOneWay(int, int) - Static method in class edu.ucla.stat.SOCR.analyses.example.RandomExample
 
AnovaOneWay - Class in edu.ucla.stat.SOCR.analyses.gui
One-Way ANOVA
AnovaOneWay() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
 
AnovaOneWay - Class in edu.ucla.stat.SOCR.analyses.model
 
AnovaOneWay() - Constructor for class edu.ucla.stat.SOCR.analyses.model.AnovaOneWay
 
AnovaOneWayCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
AnovaOneWayCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.AnovaOneWayCSV
 
AnovaOneWayExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
AnovaOneWayExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.AnovaOneWayExamples
Constructor method for simple data generation for regression/correlation tests
AnovaOneWayExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.AnovaOneWayExamples
Constructor method for sampel data for ANOVA analysis.
AnovaOneWayResult - Class in edu.ucla.stat.SOCR.analyses.result
 
AnovaOneWayResult(HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
Constructors
AnovaOneWayResult(HashMap<String, Object>, HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
AnovaTwoWay - Class in edu.ucla.stat.SOCR.analyses.gui
One-Way ANOVA
AnovaTwoWay() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
AnovaTwoWay - Class in edu.ucla.stat.SOCR.analyses.model
 
AnovaTwoWay() - Constructor for class edu.ucla.stat.SOCR.analyses.model.AnovaTwoWay
 
AnovaTwoWayCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
AnovaTwoWayCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.AnovaTwoWayCSV
 
AnovaTwoWayExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
AnovaTwoWayExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
Constructor method for simple data generation for regression/correlation tests
AnovaTwoWayExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
Constructor method for sampel data for ANOVA analysis.
AnovaTwoWayResult - Class in edu.ucla.stat.SOCR.analyses.result
 
AnovaTwoWayResult(HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
Constructors
AnovaTwoWayResult(HashMap<String, Object>, HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
ANYSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
appendCols(Matrix) - Method in class edu.ucla.stat.SOCR.util.Matrix
 
appendRows(Matrix) - Method in class edu.ucla.stat.SOCR.util.Matrix
 
appendTableColumns(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
appendTableColumns(int) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
appendTableColumns(int) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
appendTableColumns(String[]) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
appendTableRows(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
appendTableRows(int) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
appendTableRows(int) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
appendTableRows(JTable, JTable, int) - Method in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
appendTableRows(JTable, JTable, int) - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
appendTableRows(JTable, JTable, int) - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
appendTableRows(int) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
appendTableRows(String[]) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
appendTableRows(int) - Method in class edu.ucla.stat.SOCR.util.SOCRJTable
 
appendX(int[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendX(long[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendX(float[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendX(double[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendX(String[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendX(String, String[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendX(String, double[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendX(String, Object[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendX(int[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendX(long[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendX(float[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendX(double[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendX(String[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendX(String, String[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendX(String, double[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendX(String, Object[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendY(int[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendY(long[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendY(float[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendY(double[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendY(String[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendY(String, String[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendY(String, double[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendY(String, Object[], String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
appendY(int[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendY(long[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendY(float[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendY(double[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendY(String[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendY(String, String[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendY(String, double[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
appendY(String, Object[], String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
applet - Variable in class edu.uah.math.experiments.Experiment
 
applet - Variable in class edu.ucla.stat.SOCR.core.Distribution
 
applet - Static variable in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
Application - Class in edu.ucla.stat.SOCR.applications
 
Application() - Constructor for class edu.ucla.stat.SOCR.applications.Application
 
applyDecimalPattern(String) - Method in class edu.uah.math.devices.Parameter
This method applys the decimal format to be used in the label
applyPowerTransform() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
Applies the Power transform to the data.
applyPowerTransform() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
applyPowerTransform(String[], int) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
applyPowerTransform() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
applyPowerTransform(String[], int) - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
Applies the Power transform to the data.
ArcSineDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Arc-Sine distribution on a specified interval.
ArcSineDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
This general constructor creates a new ArcSine distribution on a specified interval and with a specified orientation.
ArcSineDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
This default constructor creates a new ArcSine distribution on the interval (0, 1) with positive slope
AreaChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create an area chart using data from a CategoryDataset.
AreaChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.AreaChartDemo1
 
ASCENDING - Static variable in interface edu.ucla.stat.SOCR.util.tablemodels.SortOrderConstants
Specifies ascending sort order
asDoubleArray() - Method in class edu.ucla.stat.SOCR.JRI.REXP
 
asDoubleArray() - Method in class edu.ucla.stat.SOCR.JRI.RXP
 
asIntArray() - Method in class edu.ucla.stat.SOCR.JRI.REXP
 
asIntArray() - Method in class edu.ucla.stat.SOCR.JRI.RXP
 
asString() - Method in class edu.ucla.stat.SOCR.JRI.REXP
 
asString() - Method in class edu.ucla.stat.SOCR.JRI.RXP
 
asStringArray() - Method in class edu.ucla.stat.SOCR.JRI.REXP
 
asStringArray() - Method in class edu.ucla.stat.SOCR.JRI.RXP
 
astring - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
authenticateFactors() - Method in class edu.ucla.stat.SOCR.util.Anova
 
author_count - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
authors - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
authorString - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.AnovaOneWayExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.ChiSquareContingencyTableExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.ChiSquareModelFitExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.CIExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.DichotomousProportionExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.FlignerKilleenExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.KolmogorovSmirnoffExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.OneTExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.SimpleLinearRegressionExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.SurvivalExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentFriedmanExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentKruskalWalliesExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentTExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentWilcoxonExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignedRankExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignTestExamples
 
availableExamples - Static variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
 
average() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
AVG_ABS_DEV_MEDIAN_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
AVG_ABS_DEV_MEDIAN_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
axisChanged(AxisChangeEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Receives notification of an axis change event.
axisType - Variable in class edu.ucla.stat.SOCR.util.varHistogram
 

B

B - Static variable in class edu.ucla.stat.SOCR.util.Anova
 
B_i0 - Static variable in class edu.ucla.stat.SOCR.util.BesselFunction
Chebyshev coefficients for exp(-x) sqrt(x) I0(x) in the inverted interval [8,infinity].
B_i1 - Static variable in class edu.ucla.stat.SOCR.util.BesselFunction
 
B_k0 - Static variable in class edu.ucla.stat.SOCR.util.BesselFunction
 
B_k1 - Static variable in class edu.ucla.stat.SOCR.util.BesselFunction
 
Ball - Class in edu.uah.math.devices
This class models a ball that has a specified ball color, text color, size, value, and state.
Ball(int, int, Color, Color) - Constructor for class edu.uah.math.devices.Ball
This general constructor creates a new ball with a specified value, size, ball color, and text color.
Ball(int, int) - Constructor for class edu.uah.math.devices.Ball
This special constructor creates a new ball with a specified value amd size, and with default ball color red and text color white
Ball(int) - Constructor for class edu.uah.math.devices.Ball
This special constructor creates a new ball with a specified value and with the default size 24 and default ball color red.
Ball() - Constructor for class edu.uah.math.devices.Ball
This default constructor creates a new ball with value 0, size 24, and ball color red.
BALL - Static variable in class edu.uah.math.devices.CellGrid
 
Ball - Class in edu.ucla.stat.SOCR.util
This class models a ball that has a specified color and label
Ball(int, int, Color) - Constructor for class edu.ucla.stat.SOCR.util.Ball
This general constructor creates a new ball with a specified value, size, and color.
Ball(int, int) - Constructor for class edu.ucla.stat.SOCR.util.Ball
This special constructor creates a new ball with a specified value and size, and with default ball color red.
Ball(int) - Constructor for class edu.ucla.stat.SOCR.util.Ball
This special constructor creates a new ball with a specified value, the default color, and with the default size of 24 pixels.
Ball() - Constructor for class edu.ucla.stat.SOCR.util.Ball
This default constructor creates a new ball with value 0, size 24 pixels, and color red.
ballotEvent() - Method in class edu.ucla.stat.SOCR.util.BallotGraph
This method gets the state of the ballot event
BallotExperiment - Class in edu.uah.math.experiments
This class implements the classical ballot experiment: the winner has a specified number of votes and the loser has a specified, smaller number of votes.
BallotExperiment() - Constructor for class edu.uah.math.experiments.BallotExperiment
 
BallotExperiment - Class in edu.ucla.stat.SOCR.experiments
This class implements the classical ballot experiment: the winner has a specified number of votes and the loser has a specified, smaller number of votes.
BallotExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BallotExperiment
 
BallotGraph - Class in edu.uah.math.devices
This class shows the graph of the random walk in the ballot experiment.
BallotGraph(int, int) - Constructor for class edu.uah.math.devices.BallotGraph
This general constructor creates a new ballot graph with specified values of the winner total (the number of votes that the winner receives) and loser total (the number of votes that the loser receives).
BallotGraph() - Constructor for class edu.uah.math.devices.BallotGraph
This defaut constructor creates a new ballot graphs with winner total 50 and lose count 30.
BallotGraph - Class in edu.ucla.stat.SOCR.util
This class shows the graph of the random walk in the ballot experiment
BallotGraph(int, int) - Constructor for class edu.ucla.stat.SOCR.util.BallotGraph
This general constructor creates a new ballot graph with specified values of the winner count and loser count
BallotGraph() - Constructor for class edu.ucla.stat.SOCR.util.BallotGraph
This defaut constructor creates a new ballot graphs with winner count 10 and lose count 5
BAR_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
BAR_CAT_CHART - Static variable in class edu.ucla.stat.SOCR.chart.ChartType
 
BAR_TEXT_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
BAR_XY_CHART - Static variable in class edu.ucla.stat.SOCR.chart.ChartType
 
BarChart - Class in edu.ucla.stat.SOCR.gui
 
BarChart(String, int, int) - Constructor for class edu.ucla.stat.SOCR.gui.BarChart
 
BarChart3DDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a vertical 3D bar chart using data from a CategoryDataset.
BarChart3DDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo1
 
BarChart3DDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a horizontal 3D bar chart using data from a CategoryDataset.
BarChart3DDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo2
 
BarChart3DDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
This demonstration shows a 3D bar chart with item labels displayed.
BarChart3DDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo3
 
BarChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart.
BarChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChartDemo1
 
BarChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a horizontal bar chart.
BarChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChartDemo2
 
BarChartDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
A bar chart that uses a custom renderer to display different colors within a series.
BarChartDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChartDemo3
 
BarChartDemo4 - Class in edu.ucla.stat.SOCR.chart.demo
A bar chart with only two bars - here the 'maxBarWidth' attribute in the renderer prevents the bars from getting too wide.
BarChartDemo4() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChartDemo4
 
BarChartDemo5 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a horizontal bar chart.
BarChartDemo5() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChartDemo5
 
BarChartDemo7 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart with a custom item label generator.
BarChartDemo7() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChartDemo7
 
BarChartDemo8 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart with item labels on one series only.
BarChartDemo8() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChartDemo8
 
BarChartDemo9 - Class in edu.ucla.stat.SOCR.chart.demo
A bar chart that uses a custom renderer to display different colors within a single series.
BarChartDemo9() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BarChartDemo9
 
basisCanvas - Class in edu.ucla.stat.SOCR.games.wavelet
 
basisCanvas(Game) - Constructor for class edu.ucla.stat.SOCR.games.wavelet.basisCanvas
 
basisCanvas() - Constructor for class edu.ucla.stat.SOCR.games.wavelet.basisCanvas
 
BC - Static variable in class edu.ucla.stat.SOCR.util.Anova
 
BCODESXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
BELOW - Static variable in class edu.uah.math.devices.Graph
 
BELOW - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
BELOW - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
BELOW - Static variable in class edu.ucla.stat.SOCR.util.Graph
 
BenfordDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Benford distribution with parameters m (population size), n (sample size), and r (number of type 1 objects).
BenfordDistribution(int) - Constructor for class edu.ucla.stat.SOCR.distributions.BenfordDistribution
General constructor: creates a new Benford distribution with specified value of the log-base parameter
BenfordDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.BenfordDistribution
Default constructor: creates a new Benford distribuiton with parameters b=10
BernoulliDistribution - Class in edu.uah.math.distributions
This class models the Bernoulli distribution with a specified parameter.
BernoulliDistribution(double) - Constructor for class edu.uah.math.distributions.BernoulliDistribution
This general constructor creates a new Bernoulli distribution with a specified parameter.
BernoulliDistribution() - Constructor for class edu.uah.math.distributions.BernoulliDistribution
This default constructor creates a new Bernoulli distribution with parameter p = 0.5.
BernoulliDistribution - Class in edu.ucla.stat.SOCR.distributions
The Bernoulli distribution with parameter p http://mathworld.wolfram.com/BernoulliDistribution.html .
BernoulliDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.BernoulliDistribution
This default constructor creates a new Bernoulli distribution with parameter p = 0.5
BernoulliDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.BernoulliDistribution
This general constructor creates a new Bernoulli distribution with a specified parameter
BertrandExperiment - Class in edu.uah.math.experiments
Betrand's experiment is to create a random chord on the unit circle and see if the lenght of this chord is longer thant the length of a side of the inscribed triangle.
BertrandExperiment() - Constructor for class edu.uah.math.experiments.BertrandExperiment
 
BertrandExperiment - Class in edu.ucla.stat.SOCR.experiments
Betrand's experiment: Create a random chord on the unit circle and see if the lenght of this chord is longer thant the length of a side of the inscribed triangle.
BertrandExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BertrandExperiment
Initialize the experiment: Set the name, add the toolbar with the model choices; add the floor graph and the random variable graph; add the record table and the random variable table
BertrandFloor - Class in edu.uah.math.devices
This class models the floor in Betrand's experiment.
BertrandFloor() - Constructor for class edu.uah.math.devices.BertrandFloor
This default constructor creates a new floor on the unit square [-1, 1] x [-1, 1].
BertrandFloor - Class in edu.ucla.stat.SOCR.util
This class models the floor in Betrand's experiment
BertrandFloor() - Constructor for class edu.ucla.stat.SOCR.util.BertrandFloor
This default constructor creates a new floor on the unit square [-1, 1] x [-1, 1]
BesselArithmetic - Class in edu.ucla.stat.SOCR.util
BesselArithmetic functions.
BesselArithmetic() - Constructor for class edu.ucla.stat.SOCR.util.BesselArithmetic
Makes this class non instantiable, but still let's others inherit from it.
BesselConstants - Class in edu.ucla.stat.SOCR.util
Defines some useful constants.
BesselConstants() - Constructor for class edu.ucla.stat.SOCR.util.BesselConstants
Makes this class non instantiable, but still let's others inherit from it.
BesselFunction - Class in edu.ucla.stat.SOCR.util
BesselFunction and Airy functions.
BesselFunction() - Constructor for class edu.ucla.stat.SOCR.util.BesselFunction
Makes this class non instantiable, but still let's others inherit from it.
beta(double, double) - Static method in class edu.uah.math.distributions.Functions
This method returns an approximation to the beta function.
BETA - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
BETA - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
estimated slope of The model.
beta - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
BETA - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
BETA - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
estimated slope of The model.
beta - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
beta - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
BETA - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
BETA - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
BETA - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
estimated slope of The model.
beta - Variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
beta(double, double) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method returns an approximation to the beta function.
BETA_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
The name of BETA variable.
BETA_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
The name of BETA variable.
BETA_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The name of BETA variable.
BETA_P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
The p-value of testing if BETA equals to zero.
BETA_P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
BETA_P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
The p-value of testing if BETA equals to zero.
BETA_P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
BETA_P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The p-value of testing if BETA equals to zero.
BETA_SD - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
estimated standard deviation of The slope BETA.
BETA_SD - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
estimated standard deviation of The slope BETA.
BETA_SD - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
estimated standard deviation of The slope BETA.
BETA_SE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
BETA_SE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
BETA_SE - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
BETA_SE - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
BETA_T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
The t-statistic of testing if BETA equals to zero.
BETA_T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
BETA_T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
The t-statistic of testing if BETA equals to zero.
BETA_T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
BETA_T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The t-statistic of testing if BETA equals to zero.
BETA_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
BETA_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
BetaBinomialDistribution - Class in edu.ucla.stat.SOCR.distributions
The binomial distribution with specified parameters: the number of trials (n) and the probability of success (p) http://mathworld.wolfram.com/BetaBinomialDistribution.html .
BetaBinomialDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Default constructor: creates the Beta-Binomial distribution with 10 trials, a=1, b=2
BetaBinomialDistribution(int, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
General constructor: creates the beta-binomial distribution with specified parameters
betaCDF(double, double, double) - Static method in class edu.uah.math.distributions.Functions
The method computes the beta cumulative distribution function.
betaCDF(double, double, double) - Static method in class edu.ucla.stat.SOCR.core.Distribution
The method computes the beta CDF.
betaCDF(double, double, double) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
The method computes the beta cumulative distribution function.
BetaCoinExperiment - Class in edu.uah.math.experiments
This class models the beta coin experiment.
BetaCoinExperiment() - Constructor for class edu.uah.math.experiments.BetaCoinExperiment
 
BetaCoinExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the beta coin experiment.
BetaCoinExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BetaCoinExperiment
This method initializes the experiment by setting up the toolbar, scrollbars.
BetaDistribution - Class in edu.uah.math.distributions
This class is models the beta distribution with specified left and right parameters.
BetaDistribution(double, double) - Constructor for class edu.uah.math.distributions.BetaDistribution
This general constructor creates a beta distribution with specified left and right parameters.
BetaDistribution() - Constructor for class edu.uah.math.distributions.BetaDistribution
This default constructor creates a beta distribution with left and right parameters equal to 1.
BetaDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implmentation of the beta distribution with specified left(alpha) and right(beta) parameters http://mathworld.wolfram.com/BetaDistribution.html .
BetaDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.BetaDistribution
Default constructor: creates a beta distribution with left and right parameters equal to 1
BetaDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.BetaDistribution
 
BetaDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.BetaDistribution
 
BetaDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.BetaDistribution
 
BetaEstimateExperiment - Class in edu.uah.math.experiments
This class models the point estimation problem of the beta distribution.
BetaEstimateExperiment() - Constructor for class edu.uah.math.experiments.BetaEstimateExperiment
 
BetaEstimateExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the point estimation problem of the beta distribution.
BetaEstimateExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BetaEstimateExperiment
This method initializes the experiment, including the addition of the parameter label and scrollbar to the toolbar
BetaFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Beta model fitting curve.
BetaFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
BetaFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
BetaGeneralDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implmentation of the (General) Beta Distribution with specified: left(alpha) and right(beta) parameters AND LIMITS A and B.
BetaGeneralDistribution(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
 
BetaGeneralDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
 
BetaGeneralDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
 
BetaGeneralDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Default constructor: creates a beta distribution with left and right parameters equal to 1
BetaGraph - Class in edu.uah.math.devices
This class is a graph that shows a prior and posterior beta density.
BetaGraph(double, double, int, double) - Constructor for class edu.uah.math.devices.BetaGraph
This general constructor creates a new beta graph with specified left and right parameters for the prior distribution, specified number of trials and probability of success.
BetaGraph() - Constructor for class edu.uah.math.devices.BetaGraph
This default constructor creates a new beta graph with 10 trials, probability of success 0.5, and left and right parameters 1 (so the prior distribution is uniform).
BetaGraph - Class in edu.ucla.stat.SOCR.util
This class is a graph that shows a prior and posterior beta getDensity
BetaGraph(double, double, int, double) - Constructor for class edu.ucla.stat.SOCR.util.BetaGraph
This general constructor creates a new beta graph with specified left and right parameters for the prior distribution, specified number of trials and probability of success
BetaGraph() - Constructor for class edu.ucla.stat.SOCR.util.BetaGraph
This default constructor creates a new beta graph with 10 trials, probability of success 0.5, and left and right parameters 1 (so the prior distribution is uniform).
betaName - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
betaName - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
betaName - Variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
betaPValue - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
betaPValue - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
betaPValue - Variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
betaSE - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
betaSE - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
betaSE - Variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
betaTStat - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
betaTStat - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
betaTStat - Variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
big - Static variable in class edu.ucla.stat.SOCR.util.BesselConstants
 
BIG6 - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
BIG6 - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
BIG8 - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
BIG8 - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
biginv - Static variable in class edu.ucla.stat.SOCR.util.BesselConstants
 
bin_count - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
bin_size - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
binomial(double, long) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Efficiently returns the binomial coefficient, often also referred to as "n over k" or "n choose k".
binomial(long, long) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Efficiently returns the binomial coefficient, often also referred to as "n over k" or "n choose k".
BinomialCoinExperiment - Class in edu.uah.math.experiments
This experiment consists of tossing n coins, each with probability of heads p.
BinomialCoinExperiment() - Constructor for class edu.uah.math.experiments.BinomialCoinExperiment
 
BinomialCoinExperiment - Class in edu.ucla.stat.SOCR.experiments
Basic coin-tossing experiment that illustrates the binomial distribution
BinomialCoinExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BinomialCoinExperiment
 
BinomialDistribution - Class in edu.uah.math.distributions
This class models the binomial distribution with a specified number of trials and probability of success.
BinomialDistribution(int, double) - Constructor for class edu.uah.math.distributions.BinomialDistribution
This general constructor creates the binomial distribution with a specified number of trials and probabiltiy of success.
BinomialDistribution() - Constructor for class edu.uah.math.distributions.BinomialDistribution
This default constructor creates the binomial distribution with 10 trials and probability of success 0.5.
BinomialDistribution - Class in edu.ucla.stat.SOCR.distributions
The binomial distribution with specified parameters: the number of trials (n) and the probability of success (p) http://mathworld.wolfram.com/BinomialDistribution.html .
BinomialDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Default constructor: creates the binomial distribution with 10 trials and probability of success 1/2
BinomialDistribution(int, double) - Constructor for class edu.ucla.stat.SOCR.distributions.BinomialDistribution
General constructor: creates the binomial distribution with specified parameters
BinomialDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.BinomialDistribution
 
BinomialDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.BinomialDistribution
 
BinomialFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Binomial model fitting curve.
BinomialFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
BinomialFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
BinomialRandomNDistribution - Class in edu.uah.math.distributions
This class models the binomial distribution with a random number of trials.
BinomialRandomNDistribution(Distribution, double) - Constructor for class edu.uah.math.distributions.BinomialRandomNDistribution
This general constructor creates a new randomized binomial distribution with a specified probability of success and a specified distribution for the number of trials.
BinomialRandomNDistribution(double) - Constructor for class edu.uah.math.distributions.BinomialRandomNDistribution
This special constructor creates a new randomized binomial distribution with a specified probability of success and the uniform distribution on {1, 2, 3, 4, 5, 6} for the number of trials.
BinomialRandomNDistribution() - Constructor for class edu.uah.math.distributions.BinomialRandomNDistribution
This default constructor creates a new randomized binomial distribution with probability of success 0.5 and the uniform distribution on {1, 2, 3, 4, 5, 6} or the number of trials.
BinomialRandomNDistribution - Class in edu.ucla.stat.SOCR.distributions
The binomial distribution with a random number of trials
BinomialRandomNDistribution(Distribution, double) - Constructor for class edu.ucla.stat.SOCR.distributions.BinomialRandomNDistribution
This general constructor creates a new randomized binomial distribution with a specified probability of success and a specified distribution for the number of trials
BinomialRandomNDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.BinomialRandomNDistribution
Special constructor: creates a new randomized binomial distribution with a specified probability of success and the uniform distribution on {1, 2, 3, 4, 5, 6} for the number of trials
BinomialRandomNDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.BinomialRandomNDistribution
This default constructor: creates a new randomized binomial distribution with probability of success 0.5 and the uniform distribution on {1, 2, 3, 4, 5, 6} for the number of trials
BinomialTimelineExperiment - Class in edu.uah.math.experiments
This class implements the binomial experiment.
BinomialTimelineExperiment() - Constructor for class edu.uah.math.experiments.BinomialTimelineExperiment
 
BinomialTimelineExperiment - Class in edu.ucla.stat.SOCR.experiments
 
BinomialTimelineExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BinomialTimelineExperiment
 
BinomialTradingApplication - Class in edu.ucla.stat.SOCR.applications.demo
The Binomial Trading Application demonstrates the Price of a stock call with time: Inputs: S0 = Price of the stock at time zero (now).
BinomialTradingApplication() - Constructor for class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
This is the main constructor of BinomialTradingApplication objects.
binSlider2 - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
BirthdayDistribution - Class in edu.uah.math.distributions
This class models the distribution of the number of distinct sample values when a sample of a specified size is chosen with replacement from a finite population of a specified size.
BirthdayDistribution(int, int) - Constructor for class edu.uah.math.distributions.BirthdayDistribution
This general constructor creates a new birthday distribution with a specified population size and sample size.
BirthdayDistribution() - Constructor for class edu.uah.math.distributions.BirthdayDistribution
This default constructor creates a new birthday distribution with population size 365 (the classical birthday problem) and sample size 20.
BirthdayDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the distribution of the number of distinct sample values when a sample of a specified size is chosen with replacement from a finite population of a specified size.
BirthdayDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This default constructor creates a new birthday distribution with population size 365 and sample size 20
BirthdayDistribution(int, int) - Constructor for class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
 
BirthdayExperiment - Class in edu.uah.math.experiments
This class models the birthday experiment: a sample of a specified size is chosen with replacement from a population of a specified size.
BirthdayExperiment() - Constructor for class edu.uah.math.experiments.BirthdayExperiment
 
BirthdayExperiment - Class in edu.ucla.stat.SOCR.experiments
The Birthday Experiment consists of selecting a sample of a specified size, with replacement, from a population of a specified size.
BirthdayExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BirthdayExperiment
Initialize the experiment: Add labels, scrollbars, graphs, and tables
BivariateGame - Class in edu.uah.math.games
This class models a simple interactive scatterplot.
BivariateGame() - Constructor for class edu.uah.math.games.BivariateGame
 
BivariateGame - Class in edu.ucla.stat.SOCR.games
This class models a simple interactive scatterplot.
BivariateGame() - Constructor for class edu.ucla.stat.SOCR.games.BivariateGame
 
BivariateNormalExperiment - Class in edu.uah.math.experiments
This experiment generates a point (X, Y) from a bivariate normal distribution with mean (0, 0).
BivariateNormalExperiment() - Constructor for class edu.uah.math.experiments.BivariateNormalExperiment
 
BivariateNormalExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the Bivariate Normal Experiment
BivariateNormalExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BivariateNormalExperiment
This method initializes the experiment, including the scatterplot, parameter scrollbars labels, random variable graphs, and the correlation table
BivariateScatterPlot - Class in edu.uah.math.devices
This class models a scatterplot for a bivariate distribution.
BivariateScatterPlot(Domain, String, Domain, String) - Constructor for class edu.uah.math.devices.BivariateScatterPlot
This general constructor creates a new BivariateScatterPlot with specified domains and names.
BivariateScatterPlot(Domain, String, String) - Constructor for class edu.uah.math.devices.BivariateScatterPlot
This special constructor creates a new BivariateScatterPlot with common domain and specified names.
BivariateScatterPlot(Domain, Domain) - Constructor for class edu.uah.math.devices.BivariateScatterPlot
This special constructor creates a new BivariateScatterPlot with specified domains and default names.
BivariateScatterPlot(Domain) - Constructor for class edu.uah.math.devices.BivariateScatterPlot
This special constructor creates a new BivariateScatterPlot with specified common domain and default names.
BivariateScatterPlot() - Constructor for class edu.uah.math.devices.BivariateScatterPlot
This default constructor creates a new BivariateScatterPlot with default domain (0, 1) (with step size 0.1);
BivariateScatterPlot - Class in edu.ucla.stat.SOCR.util
This class models a scatterplot for a bivariate distribution.
BivariateScatterPlot(double, double, double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.BivariateScatterPlot
 
BivariateUniformExperiment - Class in edu.uah.math.experiments
This class models a bivariate uniform experiment.
BivariateUniformExperiment() - Constructor for class edu.uah.math.experiments.BivariateUniformExperiment
 
BivariateUniformExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models a bivariate uniform experiment.
BivariateUniformExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BivariateUniformExperiment
This method initializes the experiment, including the distribution choice, toolbar, scatterplot, random variable tables and graphs.
BLACK - Static variable in class edu.uah.math.experiments.RouletteExperiment
 
BLACK - Static variable in class edu.ucla.stat.SOCR.util.Forest
 
BlackScholesApplication - Class in edu.ucla.stat.SOCR.applications.demo
The triangle experiment is to break a stick at random and see if the pieces form a triangle.
BlackScholesApplication() - Constructor for class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
BLIND - Static variable in class edu.uah.math.experiments.MontyHallExperiment
 
BLIND - Static variable in class edu.uah.math.games.MontyHallGame
 
BLIND - Static variable in class edu.ucla.stat.SOCR.experiments.MontyHallExperiment
 
BLIND - Static variable in class edu.ucla.stat.SOCR.games.MontyHallGame
 
BLUE - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Blue colormap
BlueColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a gray level colormap
BlueColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.BlueColorMap
Default constructor
BlueColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.BlueColorMap
Constructor
BOLD_PLAY - Static variable in class edu.uah.math.experiments.RedBlackExperiment
 
BOLD_PLAY - Static variable in class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
 
BONE - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Bone colormap
BoneColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a bone colormap
BoneColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.BoneColorMap
Default constructor
BoneColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.BoneColorMap
Constructor
BOOK_CONOVER - Variable in class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
 
BOOK_EXAMPLE_ANCOVA - Variable in class edu.ucla.stat.SOCR.chart.ChartExampleData
 
BOOK_EXAMPLE_ANOVA - Variable in class edu.ucla.stat.SOCR.chart.ChartExampleData
 
BOOK_EXAMPLE_MLR - Variable in class edu.ucla.stat.SOCR.chart.ChartExampleData
 
BOOK_EXAMPLE_SLR - Variable in class edu.ucla.stat.SOCR.chart.ChartExampleData
 
BOOK_JENNRICH - Variable in class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
 
BOOK_RICE - Variable in class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
 
BOTH - Static variable in class edu.uah.math.devices.StatisticsTable
 
bottom - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
bottomMargin - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
bottomMargin - Variable in class edu.ucla.stat.SOCR.util.Graph
 
BoundedColorMap - Class in edu.ucla.loni.LOVE.colormap
This is a bounded colormap.
BoundedColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.BoundedColorMap
/** Constructor.
BoundedColorMap(int, int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Constructor with default initial choice at index n.
BoundedModel - Interface in edu.ucla.loni.LOVE
Interface for bounded model.
BoundedModelImpl - Class in edu.ucla.loni.LOVE
Base class for bounded model.
BoundedModelImpl() - Constructor for class edu.ucla.loni.LOVE.BoundedModelImpl
Constructor
BOUNDS - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
BOUNDS - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
BOUNDS - Static variable in class edu.ucla.stat.SOCR.util.Graph
 
BOX - Static variable in class edu.uah.math.devices.DataTable
 
BOX - Static variable in class edu.uah.math.devices.Histogram
 
BOX - Static variable in class edu.ucla.stat.SOCR.util.DataGraph
 
BOX - Static variable in class edu.ucla.stat.SOCR.util.Histogram
 
BOX - Static variable in class edu.ucla.stat.SOCR.util.varHistogram
 
BOX_LOWER_OUTLIER_STRING_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
BOX_LOWER_OUTLIER_STRING_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
BOX_PLOT_COLUMN_FACTOR_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
BOX_PLOT_COLUMN_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
BOX_PLOT_COLUMN_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
BOX_PLOT_COLUMN_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
BOX_PLOT_FACTOR_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
BOX_PLOT_RESPONSE_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
BOX_PLOT_RESPONSE_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
BOX_PLOT_ROW_FACTOR_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
BOX_PLOT_ROW_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
BOX_PLOT_ROW_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
BOX_PLOT_ROW_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
BOX_UPPER_OUTLIER_STRING_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
BOX_UPPER_OUTLIER_STRING_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
BoxAndWhiskerChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a box-and-whisker chart.
BoxAndWhiskerChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo1
 
BoxAndWhiskerChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a box-and-whisker chart.
BoxAndWhiskerChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
 
BoxAndWhiskerChartDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a box-and-whisker chart.
BoxAndWhiskerChartDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo3
 
bPanel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
bPanel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
BrowseButton - Class in edu.ucla.stat.SOCR.gui
 
BrowseButton(JTextComponent, JFileChooser) - Constructor for class edu.ucla.stat.SOCR.gui.BrowseButton
 
BrowserControl - Class in edu.ucla.stat.SOCR.util
 
BrowserControl() - Constructor for class edu.ucla.stat.SOCR.util.BrowserControl
 
BubbleChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A bubble chart demo.
BubbleChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.BubbleChartDemo1
 
buffer - Variable in class edu.ucla.stat.SOCR.core.SOCRModeler
 
BuffonCoinExperiment - Class in edu.uah.math.experiments
Buffon's coin experiment consists of tossing a coin on a floor covered in square tiles.
BuffonCoinExperiment() - Constructor for class edu.uah.math.experiments.BuffonCoinExperiment
 
BuffonCoinExperiment - Class in edu.ucla.stat.SOCR.experiments
Buffon's coin experiment consists of tossing a coin on a floor covered in square tiles.
BuffonCoinExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BuffonCoinExperiment
Initialize the experiment: graphs, labels, scrollbars, tables
BuffonNeedleExperiment - Class in edu.uah.math.experiments
Buffon's needle experiment consists of dropping a needle on a wooden floor.
BuffonNeedleExperiment() - Constructor for class edu.uah.math.experiments.BuffonNeedleExperiment
 
BuffonNeedleExperiment - Class in edu.ucla.stat.SOCR.experiments
Buffon's needle experiment consists of dropping a needle on a wooden floor.
BuffonNeedleExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.BuffonNeedleExperiment
Initialize the experiment: tables, graphs, toolbar
BUILTINSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
burn() - Method in class edu.uah.math.devices.Forest
This method lets the forest burn for one time unit.
BURNT - Static variable in class edu.uah.math.devices.Forest
 
BUTTON_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
buttonP - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
buttonP - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
buttonP2 - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
buttonP2 - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
byteArrayToInt(byte[], int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Convert the byte array to an int starting from the given offset.

C

C - Static variable in class edu.uah.math.distributions.LogNormalDistribution
 
c - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
C - Static variable in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
 
C - Static variable in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
 
C - Static variable in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
 
C - Static variable in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
 
C - Static variable in class edu.ucla.stat.SOCR.distributions.NormalDistribution
 
C - Static variable in class edu.ucla.stat.SOCR.util.Anova
 
calcp(Database) - Method in class edu.ucla.stat.SOCR.chart.util.Module
 
CALCULATE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
CALCULATE - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
calculate() - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
calculate(String) - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
calculate() - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
calculate_power(String[], int, double) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
calculateLabelAnchorPoint(ItemLabelAnchor, double, double, PlotOrientation) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Calculates the item label anchor point.
calculateSizeDivisor() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
callName - Variable in class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
callServer - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
callServerAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
callServerAction - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
cancelButton - Variable in class edu.uah.math.devices.ProbabilityDialog
 
cancelButton - Variable in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
cancelButton - Variable in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
CAR - Static variable in class edu.uah.math.devices.Door
 
Card - Class in edu.uah.math.devices
This class models a playing card from a standard deck.
Card(int, int, boolean) - Constructor for class edu.uah.math.devices.Card
This general constructor creates a new card of a specified value and suit and specified state (up or down).
Card(int, int) - Constructor for class edu.uah.math.devices.Card
This special constructor creates a new card of a specified value and suit that is face down.
Card(int, boolean) - Constructor for class edu.uah.math.devices.Card
This general constructor creates a new card of a specified number and a specified state (face up or down)
Card(int) - Constructor for class edu.uah.math.devices.Card
This special constructor creates a new card of a specified number that is face down.
Card() - Constructor for class edu.uah.math.devices.Card
This default constructor creates a new card randomly chosen from the deck that is face down.
Card - Class in edu.ucla.stat.SOCR.util
This ckass models a playing card from a standard deck
Card(int, int) - Constructor for class edu.ucla.stat.SOCR.util.Card
This general constructor creates a new card of a specified value and suit
Card(int) - Constructor for class edu.ucla.stat.SOCR.util.Card
This general constructor creates a new card of a specified number (from 0 to 51
Card() - Constructor for class edu.ucla.stat.SOCR.util.Card
This default constructor creates a new card randomly chosen from the deck
card - Variable in class edu.ucla.stat.SOCR.util.Deck
 
CardExperiment - Class in edu.uah.math.experiments
The card experiment consists of drawing a sample of cards, without replacement, form a standard deck.
CardExperiment() - Constructor for class edu.uah.math.experiments.CardExperiment
 
CardExperiment - Class in edu.ucla.stat.SOCR.experiments
The card experiment consists of drawing a sample of cards, without replacement, form a standard deck
CardExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.CardExperiment
Initialize the experiment: add scrollbar, cards, record table
CardHand - Class in edu.uah.math.devices
This class is a container that holds cards.
CardHand(int, boolean) - Constructor for class edu.uah.math.devices.CardHand
This general constructor creates a new card hand with a specified number of cards and a specified state (face up or down)
CardHand(int) - Constructor for class edu.uah.math.devices.CardHand
This special constructor creates a new card hand with a specified number of cards dealt face down.
CardHand() - Constructor for class edu.uah.math.devices.CardHand
This default constructor creates a new card hand with 5 cards dealt face down.
CategoricalAnalysis - Class in edu.ucla.stat.SOCR.analyses.gui
A Multi-Way ANOVA Analysis.
CategoricalAnalysis() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
 
CATEGORY_COUNT - Variable in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
CATEGORY_COUNT - Static variable in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
CATEGORY_COUNT - Variable in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
CATEGORY_COUNT - Static variable in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
CATEGORY_COUNT - Variable in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
CategoryStepChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a step chart using data from a CategoryDataset.
CategoryStepChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.CategoryStepChartDemo1
 
CauchyDistribution - Class in edu.uah.math.distributions
This class models the Cauchy distribution.
CauchyDistribution() - Constructor for class edu.uah.math.distributions.CauchyDistribution
 
CauchyDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Cauchy distribution
CauchyDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.CauchyDistribution
 
CDF - Static variable in class edu.uah.math.devices.DistributionGraph
 
CDF(double) - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
CDF - Static variable in class edu.ucla.stat.SOCR.util.QuantileGraph
 
cdfConst(double) - Static method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
 
ceil(double) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Returns the smallest long >= value.
cellEditor - Variable in class edu.ucla.stat.SOCR.util.EditableHeader
 
CellGrid - Class in edu.uah.math.devices
This class models the cell grid used in the Coupon Collector Experiment.
CellGrid(int) - Constructor for class edu.uah.math.devices.CellGrid
This general constructor: creates a new cell grid with a specified number of cells.
CellGrid() - Constructor for class edu.uah.math.devices.CellGrid
This default constructor creates a new cell grid with 20 cells.
CellGrid - Class in edu.ucla.stat.SOCR.util
This class models the cell grid used in the Coupon Collector Experiment
CellGrid(int) - Constructor for class edu.ucla.stat.SOCR.util.CellGrid
This general constructor: creates a new cell grid with a specified number of cells
cellId - Variable in class edu.ucla.stat.SOCR.distributome.data.Edge
 
cells - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
CENSORED_CONSTANT - Static variable in class edu.ucla.stat.SOCR.analyses.data.SurvivalObject
 
censorIndex - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
censorIndex - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
censorLabel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
CG_MIX - Static variable in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
CGMix - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
change_n(int) - Method in class edu.ucla.stat.SOCR.util.PlayButton
 
changeDist(int, int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
changedUpdate(DocumentEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
changeEvent - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
Only one ChangeEvent is needed per PlayerControl instance since the event's only (read-only) state is the source property.
changeListener - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
The changeListener (no suffix) is the listener we add to the slider.
changePoint(SOCRPoint2D, int) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
changeRepetitions(int) - Method in class edu.ucla.stat.SOCR.util.PlayButton
 
CHARACTER - Static variable in class edu.ucla.stat.SOCR.analyses.data.DataType
 
characters(char[], int, int) - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
CHARSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
Chart - Class in edu.ucla.stat.SOCR.analyses.gui
This class defines a basic type of Statistical Chart that can be subclassed by the specific types of chart (e.g., ANOVA, Regression, prediction, etc.)
Chart() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.Chart
 
Chart - Class in edu.ucla.stat.SOCR.chart
This class defines a basic type of Statistical Chart that can be subclassed by the specific types of chart
Chart() - Constructor for class edu.ucla.stat.SOCR.chart.Chart
 
chart - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
CHART_SIZE_X - Variable in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
CHART_SIZE_X - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
CHART_SIZE_X - Variable in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
CHART_SIZE_X - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
CHART_SIZE_X - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
CHART_SIZE_X - Variable in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
CHART_SIZE_X - Variable in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
CHART_SIZE_X - Variable in class edu.ucla.stat.SOCR.chart.Chart
Start Variable Declaration *********************
CHART_SIZE_X - Variable in class edu.ucla.stat.SOCR.chart.ChartGenerator
 
CHART_SIZE_X - Variable in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
 
CHART_SIZE_Y - Variable in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
CHART_SIZE_Y - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
CHART_SIZE_Y - Variable in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
CHART_SIZE_Y - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
CHART_SIZE_Y - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
CHART_SIZE_Y - Variable in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
CHART_SIZE_Y - Variable in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
CHART_SIZE_Y - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
CHART_SIZE_Y - Variable in class edu.ucla.stat.SOCR.chart.ChartGenerator
 
CHART_SIZE_Y - Variable in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
 
chartChanged(ChartChangeEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Receives notification of a chart change event.
chartDescription - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
ChartExampleData - Class in edu.ucla.stat.SOCR.chart
Example data generator for ANOVA & other statistical applets.
ChartExampleData() - Constructor for class edu.ucla.stat.SOCR.chart.ChartExampleData
Constructor method for simple data generation for regression/correlation tests
ChartExampleData(int, int) - Constructor for class edu.ucla.stat.SOCR.chart.ChartExampleData
Constructor method for sampel data for ANOVA analysis.
chartFactory - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
chartFactory - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
ChartGenerator - Class in edu.ucla.stat.SOCR.chart
This class includes few typical statistical charts.
ChartGenerator() - Constructor for class edu.ucla.stat.SOCR.chart.ChartGenerator
 
ChartGenerator_JTable - Class in edu.ucla.stat.SOCR.chart
This class provide the API interface for creating many type's charts including PieChart, BarChart, LineChart, etc
ChartGenerator_JTable() - Constructor for class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
 
chartMouseClicked(ChartMouseEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
chartMouseClicked(ChartMouseEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
chartMouseClicked(ChartMouseEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMouseListener
Callback method for receiving notification of a mouse click on a chart.
chartMouseMoved(ChartMouseEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
chartMouseMoved(ChartMouseEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
chartMouseMoved(ChartMouseEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMouseListener
Callback method for receiving notification of a mouse movement on a chart.
chartPanel - Variable in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
chartPanel - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
chartPanel - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
chartPanel - Variable in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
chartPanel - Variable in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
chartPanel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
ChartPanel - Class in edu.ucla.stat.SOCR.chart
 
ChartPanel(SOCRChart) - Constructor for class edu.ucla.stat.SOCR.chart.ChartPanel
 
chartPanel2 - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
chartTitle - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
ChartTree - Class in edu.ucla.stat.SOCR.chart
this is the class generate a static JTree, replaced by ChartTree_dynamic class
ChartTree() - Constructor for class edu.ucla.stat.SOCR.chart.ChartTree
 
ChartTree_dynamic - Class in edu.ucla.stat.SOCR.chart
Create the JTree using the implementedCharts file.
ChartTree_dynamic(String, URL) - Constructor for class edu.ucla.stat.SOCR.chart.ChartTree_dynamic
 
ChartTree_dynamic(String, URL, String) - Constructor for class edu.ucla.stat.SOCR.chart.ChartTree_dynamic
 
ChartType - Class in edu.ucla.stat.SOCR.chart
 
ChartType() - Constructor for class edu.ucla.stat.SOCR.chart.ChartType
 
chb_freeze - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
chbevl(double, double[], int) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Evaluates the series of Chebyshev polynomials Ti at argument x/2.
CHECKBOX_RAWDATA_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
CHECKBOX_RESCALE_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
checkMappings() - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
checkModel() - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
 
CHI_SQUARE_CONTINGENCY_TABLE - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
CHI_SQUARE_MODEL_FIT - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
CHI_SQUARE_MODEL_FIT_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
CHI_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
CHI_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
ChiDistr - Variable in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
ChiDistribution - Class in edu.ucla.stat.SOCR.distributions
This class defines the Chi distribution with a specifed degrees of freedom.
ChiDistribution(int) - Constructor for class edu.ucla.stat.SOCR.distributions.ChiDistribution
This general constructor creates a new Chi distribuiton with a specified degrees of freedom parameter
ChiDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.ChiDistribution
 
ChiDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.ChiDistribution
 
ChiDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.ChiDistribution
 
ChiFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
ChiFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
ChiFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
ChiSquareContingencyTable - Class in edu.ucla.stat.SOCR.analyses.gui
 
ChiSquareContingencyTable() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
ChiSquareContingencyTable - Class in edu.ucla.stat.SOCR.analyses.model
 
ChiSquareContingencyTable() - Constructor for class edu.ucla.stat.SOCR.analyses.model.ChiSquareContingencyTable
 
ChiSquareContingencyTableCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
ChiSquareContingencyTableCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.ChiSquareContingencyTableCSV
 
ChiSquareContingencyTableExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
ChiSquareContingencyTableExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.ChiSquareContingencyTableExamples
Constructor method for simple data generation for regression/correlation tests
ChiSquareContingencyTableResult - Class in edu.ucla.stat.SOCR.analyses.result
 
ChiSquareContingencyTableResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
Constructors
ChiSquareContingencyTableResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
ChiSquareDistr - Variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
ChiSquareDistribution - Class in edu.uah.math.distributions
This class defines the chi-square distribution with a specifed degrees of freedom parameter.
ChiSquareDistribution(int) - Constructor for class edu.uah.math.distributions.ChiSquareDistribution
This general constructor creates a new chi-square distribuiton with a specified degrees of freedom parameter.
ChiSquareDistribution() - Constructor for class edu.uah.math.distributions.ChiSquareDistribution
This default constructor creates a new chi-square distribution with 1 degree of freedom.
ChiSquareDistribution - Class in edu.ucla.stat.SOCR.distributions
This class defines the chi-square distribution with a specifed degrees of freedom.
ChiSquareDistribution(int) - Constructor for class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
This general constructor creates a new chi-square distribuiton with a specified degrees of freedom parameter
ChiSquareDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
 
ChiSquareDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
 
ChiSquareDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
 
ChiSquareFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a ChiSquare Fit model fitting curve.
ChiSquareFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
ChiSquareFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
ChiSquareFit_Modeler Constructor.
ChiSquareFitExperiment - Class in edu.uah.math.experiments
This class models a chi-square Goodness of fit experiment in terms of dice.
ChiSquareFitExperiment() - Constructor for class edu.uah.math.experiments.ChiSquareFitExperiment
 
ChiSquareFitExperiment - Class in edu.ucla.stat.SOCR.experiments
 
ChiSquareFitExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.ChiSquareFitExperiment
 
ChiSquareModelFit - Class in edu.ucla.stat.SOCR.analyses.gui
The Chi-Square Model Goodness-of-Fit Test
ChiSquareModelFit() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
 
ChiSquareModelFitCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
ChiSquareModelFitCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.ChiSquareModelFitCSV
 
ChiSquareModelFitExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
ChiSquareModelFitExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.ChiSquareModelFitExamples
Constructor method for simple data generation for regression/correlation tests
ChiSquareModelFitExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.ChiSquareModelFitExamples
Constructor method for sampel data for ANOVA analysis.
ChiSquareModelFitResult - Class in edu.ucla.stat.SOCR.analyses.result
 
ChiSquareModelFitResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.ChiSquareModelFitResult
 
ChiSquareModelFitResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.ChiSquareModelFitResult
 
chkDataIntegrity() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
chkDataIntegrity() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
chooseStat(String) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
chordEvent() - Method in class edu.uah.math.devices.BertrandFloor
This method determines if the length of the chord is longer than the length of the triangle side.
chordEvent() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method determines if the length of the chord is longer than the length of the triangle side
chosenDistribution - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
ChuckALuckExperiment - Class in edu.uah.math.experiments
This class models the classic chuck-a-luck experiment that consists of rolling three dice.
ChuckALuckExperiment() - Constructor for class edu.uah.math.experiments.ChuckALuckExperiment
 
ChuckALuckExperiment - Class in edu.ucla.stat.SOCR.experiments
The classic chuck-a-luck experiment that consists of rolling three dice.
ChuckALuckExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.ChuckALuckExperiment
Initialize the experiment
CI - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
CI_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
CI_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
CI_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
CI_95_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
CI_95_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
CI_CHOICE - Static variable in class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
CI_CV_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
CI_DATA - Static variable in class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
CI_DATA - Static variable in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
CI_LEFT - Static variable in class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
ci_meanValue - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
ci_meanValue - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
CI_N_TRAILS - Static variable in class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
CI_RIGHT - Static variable in class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
CI_STRING - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
CI_TEXT_P - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
CI_TEXT_Q - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
ci_VarValue - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
ci_VarValue - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
CI_WIDTH - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
CI_XY_LENGTH - Static variable in class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
CIExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
CIExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.CIExamples
Constructor method for simple data generation for regression/correlation tests
CIExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.CIExamples
Constructor method for sampel data for ANOVA analysis.
CircleDistribution - Class in edu.uah.math.distributions
This class models the crcle distribution with a specified radius.
CircleDistribution(double) - Constructor for class edu.uah.math.distributions.CircleDistribution
This general constructor creates a new circle distribution with a specified radius.
CircleDistribution() - Constructor for class edu.uah.math.distributions.CircleDistribution
This default constructor creates a new circle distribution with radius 1.
CircleDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Circle distribution with parameter a (radius).
CircleDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.CircleDistribution
This general constructor creates a new circle distribution with a specified radius.
CircleDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.CircleDistribution
This special constructor creates a new circle distribution with radius 1
CircleDrawer - Class in edu.ucla.stat.SOCR.chart.gui
An implementation of the Drawable interface, to illustrate the use of the org.jfree.chart.annotations.XYDrawableAnnotation class.
CircleDrawer(Paint, Stroke, Paint) - Constructor for class edu.ucla.stat.SOCR.chart.gui.CircleDrawer
Creates a new instance.
classLoader - Variable in class edu.ucla.stat.SOCR.util.PluginLoader
 
cleanup_raw(String[], int) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
CLEAR - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
CLEAR - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
clear(int[], int) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
clear(int[], int) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
clear clears canvas and resets parameters
clear() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
clears panel
CLEAR - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
clear(int, int, Distribution) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
clear(int, int, Distribution) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
clear clears canvas and resets parameters
clear(int, int) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasSimple
clear clears canvas and resets parameters
clear() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
clears panel
clear() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
clears panel
clear() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
This method resets the interactive histogram.
clear() - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
clear() - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method clears the dataset
CLEAR_BUTTON - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
clearAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
ClearAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
 
clearAction - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
clearAction - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
clearAll() - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
clearData() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
clearData(SamplingExperimentHistogram) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
clearData(int, int, int, int) - Method in class edu.ucla.stat.SOCR.util.SOCRJTable
 
clearExPicked() - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
clearInfoAreas() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
clearPoints() - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
ClearPoints - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
clearPoints() - Method in class edu.ucla.stat.SOCR.util.Database
 
clearScreen() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
clear screen method
clearTable() - Method in class edu.ucla.stat.SOCR.util.SOCRJTable
 
clearvalueSetterPane() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
clearvalueSetterPane() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
clearvalueSetterPane() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
clickedType - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
ClientObject - Class in edu.ucla.stat.SOCR.servlet.util
 
ClientObject(Key, String, String, String) - Constructor for class edu.ucla.stat.SOCR.servlet.util.ClientObject
 
clipboard - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
clipboard - Variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
clipboard - Variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
clipboard - Variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
clipboard - Variable in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
clipboard - Variable in class edu.ucla.stat.SOCR.core.SOCRJRIAnalyses
 
clipboard - Variable in class edu.ucla.stat.SOCR.core.SOCRModeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
clm2 - Variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
clone() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Clones the object, and takes care of listeners.
close(String) - Method in class edu.uah.math.devices.Door
This method closes the door to display a specified caption.
close(String) - Method in class edu.ucla.stat.SOCR.util.Door
This method closes the door to display a specified caption
closeToZero - Static variable in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
closeWriter() - Method in class edu.ucla.stat.SOCR.util.FileHelper
 
CLOSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
CLUBS - Static variable in class edu.uah.math.devices.Card
 
CLUBS - Static variable in class edu.ucla.stat.SOCR.util.Card
 
codeBase - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
codeBase - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
codeBase - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
codeBase - Variable in class edu.ucla.stat.SOCR.core.WaveletLoader
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
coeffs - Variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
Coin - Class in edu.uah.math.devices
This class defines a coin with specified colors, value, and probability of heads.
Coin(double, int, Color, Color, Color) - Constructor for class edu.uah.math.devices.Coin
This general constructor creates a new coin with a probability, preferred size, and colors.
Coin(double, int) - Constructor for class edu.uah.math.devices.Coin
This special constructor creates a new coin with a specified probability and size, and with the default colors of red for heads and green for tails.
Coin(double) - Constructor for class edu.uah.math.devices.Coin
This special constructor creates a coin with a specified probability of heads, and with the default size 40, and with head color red and tail color green.
Coin() - Constructor for class edu.uah.math.devices.Coin
This default constructor creates a new fair coin with a specified value, and with the default size and with head color red and tail color green.
Coin - Class in edu.ucla.stat.SOCR.util
This class defines a coin with specified colors, size, and value, and probability of heads.
Coin(double, int, Color, Color) - Constructor for class edu.ucla.stat.SOCR.util.Coin
This general constructor creates a new coin with a probability, size, and colors
Coin(double, int) - Constructor for class edu.ucla.stat.SOCR.util.Coin
This special constructor creates a new coin with a specified size and the default colors of red for heads and green for tails
Coin(double) - Constructor for class edu.ucla.stat.SOCR.util.Coin
This special constructor creates a new coin with a specified probability and with the default colors and size.
Coin() - Constructor for class edu.ucla.stat.SOCR.util.Coin
This special constructor creates a new fair coin with a specified value, head color red, tail color green, and default size of 24 pixels
CoinBox - Class in edu.uah.math.devices
This class is a container that holds coins.
CoinBox(int, double, int, Color, Color, Color) - Constructor for class edu.uah.math.devices.CoinBox
This general constructor creates a new coin box with a specified number of coins, specified preferred size, a specified probability of heads, and specified head, tail, and text colors.
CoinBox(int, double, int) - Constructor for class edu.uah.math.devices.CoinBox
This special constructor creates a new coin box with a specified number of coins, probability, and size, and with default head color red, tail color green, and text color white
CoinBox(int, double) - Constructor for class edu.uah.math.devices.CoinBox
This special constructor creates a new coin box with a specified number of coins, and probability, and with default size 40, head color red, tail color green, and text color white
CoinBox(int) - Constructor for class edu.uah.math.devices.CoinBox
This special constructor creates a new coin box with a specified number of coins, and with the default probability, size, and colors.
CoinBox() - Constructor for class edu.uah.math.devices.CoinBox
This default constructor creates a new coin box with 10 coins and with the default probability, and colors.
CoinBox - Class in edu.ucla.stat.SOCR.util
This class is a container that holds coins.
CoinBox(int, double, int, Color, Color) - Constructor for class edu.ucla.stat.SOCR.util.CoinBox
This general constructor creates a new coin box with a specified number of coins, a specified size, and specified head and tail colors.
CoinBox(int, double, int) - Constructor for class edu.ucla.stat.SOCR.util.CoinBox
This special constructor creates a new coin box with a specified number of coins, and specified probability and size, and default head color red, and default tail color green.
CoinBox(int, double) - Constructor for class edu.ucla.stat.SOCR.util.CoinBox
This special constructor creates a new coin box with a specified number of coins and probability and with default size 24 pixels, default head color red, and default tail color green.
CoinBox(int) - Constructor for class edu.ucla.stat.SOCR.util.CoinBox
This default constructor creates a new coin box with a specified number of coins, and with the default probability, size, and colors.
CoinBox() - Constructor for class edu.ucla.stat.SOCR.util.CoinBox
This default constructor creates a new coin box with 10 coins and with the default probability size, and colors.
CoinDieExperiment - Class in edu.uah.math.experiments
The coin-die experiment consists of tossing a coin, and then rolling one of two dice, depending on the value of the coin.
CoinDieExperiment() - Constructor for class edu.uah.math.experiments.CoinDieExperiment
 
CoinDieExperiment - Class in edu.ucla.stat.SOCR.experiments
The coin-die experiment consists of tossing a coin, and then rolling one of two dice, depending on the value of the coin
CoinDieExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.CoinDieExperiment
 
CoinFloor - Class in edu.uah.math.devices
This class models the floor in Buffon's coin experiment.
CoinFloor(double) - Constructor for class edu.uah.math.devices.CoinFloor
This general constructor creates a new Buffon floor with a specified coin radius.
CoinFloor() - Constructor for class edu.uah.math.devices.CoinFloor
This default constructor creates a new Buffon floor with coin radius 0.25.
CoinFloor - Class in edu.ucla.stat.SOCR.util
This class models the floor in Buffon's coin experiment
CoinFloor(double) - Constructor for class edu.ucla.stat.SOCR.util.CoinFloor
This general constructor creates a new Buffon floor with coin radius r
CoinFloor() - Constructor for class edu.ucla.stat.SOCR.util.CoinFloor
This default constructor creates a new Buffon floor with coin radius 0.25
CoinSampleExperiment - Class in edu.uah.math.experiments
This class models a basic experiment that tosses n coins, generating a random sample from the Bernoulli distribution.
CoinSampleExperiment() - Constructor for class edu.uah.math.experiments.CoinSampleExperiment
 
CoinSampleExperiment - Class in edu.ucla.stat.SOCR.experiments
A basic experiment that tosses n coins, generating a random sample from the Bernoulli distribution
CoinSampleExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.CoinSampleExperiment
Initialize the experiment: construct toolbar, add tables and graphs
CoinScatter - Class in edu.uah.math.devices
This class models the scatterplot for Buffon's coin experiment.
CoinScatter(double) - Constructor for class edu.uah.math.devices.CoinScatter
This general constructor creates a new Buffon coin scatterplot with a specified radius.
CoinScatter() - Constructor for class edu.uah.math.devices.CoinScatter
This default constructor creates a new Buffon coin scatterplot with radius 0.25.
CoinScatter - Class in edu.ucla.stat.SOCR.util
This class models the scatterplot for Buffon's coin experiment
CoinScatter(double) - Constructor for class edu.ucla.stat.SOCR.util.CoinScatter
This general constructor creates a new Buffon coin scatterplot with a specified radius
CoinTossLawOfLargeNumbersExperiment - Class in edu.uah.math.experiments
This experiment consists of tossing n coins, each with probability of heads p.
CoinTossLawOfLargeNumbersExperiment() - Constructor for class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
 
CoinTossLLNGraph - Class in edu.uah.math.devices
This class shows the graph of the random walk in the CoinToss LLN Experiment.
CoinTossLLNGraph(int) - Constructor for class edu.uah.math.devices.CoinTossLLNGraph
This general constructor creates a new CoinToss LLN Graph with specified total (the number of experiments (coin tosses).
CoinTossLLNGraph() - Constructor for class edu.uah.math.devices.CoinTossLLNGraph
This defaut constructor creates a new CoinTossLLNGraph with 50 Heads and 30 Tails.
COL_NAMES - Static variable in class edu.ucla.stat.SOCR.analyses.model.ChiSquareContingencyTable
 
COL_NAMES - Static variable in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
COL_NAMES - Static variable in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
COL_NAMES - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
COL_SUM - Static variable in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
COL_SUM - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
colorAt(int) - Method in class edu.ucla.stat.SOCR.util.Timeline
This method returns the color at a specified index
ColorBar - Class in edu.ucla.loni.LOVE.colormap
 
ColorBar() - Constructor for class edu.ucla.loni.LOVE.colormap.ColorBar
Default constructor.
ColorBar(BoundedColorMap, int) - Constructor for class edu.ucla.loni.LOVE.colormap.ColorBar
Constructor
ColorBar(BoundedColorMap, int, int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.ColorBar
Constructor
ColorMap - Class in edu.ucla.loni.LOVE.colormap
Base class for colormap, also provides all constants for colormap.
ColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.ColorMap
Default constructor Required for plugin usage.
ColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.ColorMap
Constructor
colorMap - Static variable in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
ColorMapControlPanel - Class in edu.ucla.loni.LOVE.colormap
User interface of colormap.
ColorMapControlPanel(BoundedColorMap) - Constructor for class edu.ucla.loni.LOVE.colormap.ColorMapControlPanel
Constructor of the panel.
colorModel - Static variable in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
Column - Class in edu.ucla.stat.SOCR.analyses.data
 
Column(String[], String) - Constructor for class edu.ucla.stat.SOCR.analyses.data.Column
 
Column(double[], String) - Constructor for class edu.ucla.stat.SOCR.analyses.data.Column
 
Column(Object[], String) - Constructor for class edu.ucla.stat.SOCR.analyses.data.Column
 
columnCount - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
columnModel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
columnModel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
columnModel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
columnModel - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
columnNames - Variable in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
columnNames - Variable in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.AnovaOneWayExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.ChiSquareContingencyTableExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.ChiSquareModelFitExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.CIExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.DichotomousProportionExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.ExampleDataOnServer
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.ExampleDataRandom
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.FlignerKilleenExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.KolmogorovSmirnoffExamples
 
columnNames - Static variable in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionBostonExample
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.OneTExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.SimpleLinearRegressionExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.SurvivalExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentFriedmanExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentKruskalWalliesExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentTExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentWilcoxonExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignedRankExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignTestExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
 
columnNames - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
 
columnNames - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
columnNames - Variable in class edu.ucla.stat.SOCR.chart.ChartExampleData
 
columnNames - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
columnNames - Variable in class edu.ucla.stat.SOCR.util.ANOVAExampleData
 
columnNames - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
columnNumber - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
columnNumber - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
columnNumber - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
columnNumber - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
columns - Variable in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
columns - Variable in class edu.ucla.stat.SOCR.util.Matrix
 
comb(double, int) - Static method in class edu.uah.math.distributions.Functions
This method computes the number of combinations of a specified number of objects chosen from a population of a specified size.
comb(double, int) - Static method in class edu.ucla.stat.SOCR.core.Distribution
This method computes the number of combinations of k objects chosen from a population of n objects
comb(double, int) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method computes the number of combinations of a specified number of objects chosen from a population of a specified size.
combobox - Variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
comboBoxes - Variable in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
compare(int, int, int, TableModel) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel.MotionRowComparator
Compares two rows for order.
compare(int, int, int, TableModel) - Method in class edu.ucla.stat.SOCR.util.tablemodels.DefaultRowComparator
Compares two rows for order.
compare(int, int, int, TableModel) - Method in interface edu.ucla.stat.SOCR.util.tablemodels.RowComparator
Compares two rows for order.
compareTo(MotionKey) - Method in class edu.ucla.stat.SOCR.motionchart.MotionKey
 
CompassDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a compass chart
CompassDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.CompassDemo1
 
componentAdded(ContainerEvent) - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
componentHidden(ComponentEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
componentHidden(ComponentEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
componentMoved(ComponentEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
componentMoved(ComponentEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
componentRemoved(ContainerEvent) - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
componentResized(ComponentEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
componentResized(ComponentEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
ComponentSetter - Class in edu.ucla.stat.SOCR.core
this class used to let the user add new components to SOCR Applets
ComponentSetter(String, JComponent) - Constructor for class edu.ucla.stat.SOCR.core.ComponentSetter
create a new ComponentSetter object
componentShown(ComponentEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
componentShown(ComponentEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
composeXML(String[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.xml.XMLComposer
 
compressFile(String, String) - Static method in class edu.ucla.stat.SOCR.util.GZIP
 
compressObject(Object) - Static method in class edu.ucla.stat.SOCR.util.GZIP
 
compressString(String) - Static method in class edu.ucla.stat.SOCR.util.GZIP
 
computeAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
ComputeAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
 
computeAction - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
computeAction - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
computeArrivalTimes() - Method in class edu.uah.math.experiments.GammaExperiment
This method computes the arrival times and passes them to the timeline.
computeArrivalTimes() - Method in class edu.uah.math.experiments.PoissonExperiment
This method computes the arrival times and adds these times to the timeline.
computeArrivalTimes() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
 
computeBoldParameters() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method computes the probability of reaching the target fortune and the expected number of trials under the bold strategy.
computeBoldParameters() - Method in class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
This method computes the probability of reaching the target fortune and the expected number of trials under the bold strategy.
computeExpectedFrequencies() - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
This method computes the expected frequencies.
computeFrequency() - Method in class edu.ucla.stat.SOCR.util.Frequency
 
ComputeGroupedMean(int[], float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
ComputeGroupedMedian(int[], int, int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
ComputeGroupedRange(int[], float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
ComputeGroupedsd(int[], float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
ComputeKurt(int[], float[], int, double) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
ComputeMAD(int[], float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
ComputeMAD(float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
ComputeMean(float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
ComputeMedian(float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
ComputeRange(float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
ComputeSD(float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
ComputeSkew(int[], float[], int, double) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
computeStats(int) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method computes the Proportions and Difference Statistics up to current index.
computeStats() - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
computeVar(float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
concentrationParamField - Variable in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
concentrationParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
ConfidenceCanvasGeneral - Class in edu.ucla.stat.SOCR.analyses.util
 
ConfidenceCanvasGeneral(int[], int) - Constructor for class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
Constructor for ConfidenceCanvas
ConfidenceCanvasGeneral - Class in edu.ucla.stat.SOCR.experiments.util
 
ConfidenceCanvasGeneral(int, int) - Constructor for class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
Constructor for ConfidenceCanvas
ConfidenceCanvasGeneralBase - Class in edu.ucla.stat.SOCR.analyses.util
 
ConfidenceCanvasGeneralBase(int[], int) - Constructor for class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
Constructor for ConfidenceCanvas
ConfidenceCanvasGeneralBase - Class in edu.ucla.stat.SOCR.experiments.util
 
ConfidenceCanvasGeneralBase(int, int) - Constructor for class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
Constructor for ConfidenceCanvas
ConfidenceCanvasGeneralLower - Class in edu.ucla.stat.SOCR.analyses.util
 
ConfidenceCanvasGeneralLower(int[], int) - Constructor for class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralLower
Constructor for ConfidenceCanvas
ConfidenceCanvasGeneralLower - Class in edu.ucla.stat.SOCR.experiments.util
 
ConfidenceCanvasGeneralLower(int, int) - Constructor for class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralLower
Constructor for ConfidenceCanvas
ConfidenceCanvasGeneralUpper - Class in edu.ucla.stat.SOCR.analyses.util
 
ConfidenceCanvasGeneralUpper(int[], int) - Constructor for class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralUpper
Constructor for ConfidenceCanvas
ConfidenceCanvasGeneralUpper - Class in edu.ucla.stat.SOCR.experiments.util
 
ConfidenceCanvasGeneralUpper(int, int) - Constructor for class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralUpper
Constructor for ConfidenceCanvas
ConfidenceCanvasSimple - Class in edu.ucla.stat.SOCR.experiments.util
 
ConfidenceCanvasSimple(int, int) - Constructor for class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasSimple
Constructor for ConfidenceCanvas
ConfidenceControlPanel - Class in edu.ucla.stat.SOCR.analyses.util
 
ConfidenceControlPanel(ConfidenceIntervalAnalysis) - Constructor for class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
constructor of control panel
ConfidenceControlPanelGeneral - Class in edu.ucla.stat.SOCR.experiments.util
 
ConfidenceControlPanelGeneral(ConfidenceIntervalExperimentGeneral, SOCRDistributions) - Constructor for class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
constructor of control panel
ConfidenceControlPanelSimple - Class in edu.ucla.stat.SOCR.experiments.util
 
ConfidenceControlPanelSimple(ConfidenceIntervalExperimentSimple) - Constructor for class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
constructor of control panel
ConfidenceInterval - Class in edu.ucla.stat.SOCR.analyses.model
 
ConfidenceInterval() - Constructor for class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
ConfidenceIntervalAnalysis - Class in edu.ucla.stat.SOCR.analyses.gui
Confidence Interval
ConfidenceIntervalAnalysis() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
ConfidenceIntervalExperimentGeneral - Class in edu.ucla.stat.SOCR.experiments
 
ConfidenceIntervalExperimentGeneral() - Constructor for class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
initialization method
ConfidenceIntervalExperimentSimple - Class in edu.ucla.stat.SOCR.experiments
 
ConfidenceIntervalExperimentSimple() - Constructor for class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentSimple
initialization method
ConfidenceIntervalResult - Class in edu.ucla.stat.SOCR.analyses.result
 
ConfidenceIntervalResult(HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
Constructors
ConfidenceIntervalResult(HashMap<String, Object>, HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
consensus() - Method in class edu.ucla.stat.SOCR.util.Voters
This method checks to see if the voters are all in the same state.
constraints - Variable in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
constructDistributionPanelObject() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method constructs an instance of the SOCRDistributions object, a subclass of SOCRApplet, that provides access to the fControlPanel distribution selection interface
constructDistributionPanelObject(String, String) - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
This methods constructs an instance of the SOCRDistributions object, a subclass of SOCRApplet, that provides access to the fControlPanel distribution selection interface
constructSamplingDistributionObject() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method constructs an instance of the SamplingExperimentMainFrame object that is used to to the simulation, rendering and result computing
constructSurvivalResult() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
ContingencyTable - Class in edu.ucla.stat.SOCR.analyses.data
 
ContingencyTable(double[][]) - Constructor for class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
ContingencyTable(double[][], String[], String[]) - Constructor for class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
ContingencyTable(double[][], double[][], String[], String[]) - Constructor for class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
CONTINTUOUS - Static variable in class edu.ucla.stat.SOCR.util.RandomVariableGraph
 
CONTINUE - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
CONTINUOUS - Static variable in class edu.uah.math.distributions.Distribution
 
CONTINUOUS - Static variable in class edu.uah.math.distributions.Domain
 
CONTINUOUS - Static variable in class edu.ucla.stat.SOCR.core.Distribution
 
CONTINUOUS - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
CONTINUOUS - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
CONTINUOUS - Static variable in class edu.ucla.stat.SOCR.distributions.Domain
 
CONTINUOUS_DISTRIBUTION_TYPE - Static variable in class edu.ucla.stat.SOCR.core.Modeler
 
ContinuousUniformDistribution - Class in edu.uah.math.distributions
This class models the uniform distribution on a specified interval.
ContinuousUniformDistribution(double, double) - Constructor for class edu.uah.math.distributions.ContinuousUniformDistribution
This general constructor creates a new uniform distribution on a specified interval.
ContinuousUniformDistribution() - Constructor for class edu.uah.math.distributions.ContinuousUniformDistribution
This default constructor creates a new uniform distribuiton on (0, 1).
ContinuousUniformDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the uniform distribution on a specified interval.
ContinuousUniformDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This general constructor creates a new uniform distribution on a specified interval.
ContinuousUniformDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This default constructor creates a new uniform distribuiton on (0, 1).
ControlBgColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
controlPanel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
controlPanel - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
controlPanel - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
controlPanelTitle - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
controlPanelTitle - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
controlPanelTitle - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
convertHeaders(Vector<String>, String[]) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
convertor - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
convertTo1DArray(double[][]) - Static method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
convertTo1DArray(double[][]) - Static method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
convertTo1DArray(double[]) - Static method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
convertTo1DArray(double[][]) - Static method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
Convolution - Class in edu.ucla.stat.SOCR.distributions
This class creates the n-fold convolution of a given distribution
Convolution(Distribution, int) - Constructor for class edu.ucla.stat.SOCR.distributions.Convolution
This general constructor: creates a new convolution distribution corresponding to a specified distribution and convolution power
Convolution() - Constructor for class edu.ucla.stat.SOCR.distributions.Convolution
This defalut constructor creates a new convolution distribution corrrepsonding to the uniform distribution on (0,1), with convolution power 5.
ConvolutionDistribution - Class in edu.uah.math.distributions
This class creates covolution of a given distribution to a given power.
ConvolutionDistribution(Distribution, int) - Constructor for class edu.uah.math.distributions.ConvolutionDistribution
This general constructor: creates a new convolution distribution corresponding to a specified distribution and convolution power.
ConvolutionDistribution() - Constructor for class edu.uah.math.distributions.ConvolutionDistribution
This defalut constructor creates a new convolution distribution corrrepsonding to the uniform distribution on (0,1), with convolution power 5.
COOL - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Cool colormap
CoolColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a gray level colormap
CoolColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.CoolColorMap
Default constructor
CoolColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.CoolColorMap
Constructor
COPPER - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Copper colormap
CopperColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a gray level colormap
CopperColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.CopperColorMap
Default constructor
CopperColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.CopperColorMap
Constructor
COPY - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
COPY - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
COPY - Static variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
COPY - Static variable in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
COPY - Static variable in class edu.ucla.stat.SOCR.core.SOCRJRIAnalyses
 
copyColorMap(BoundedColorMap) - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Copy the settings from another colormap.
copyFromModel() - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
copyFromTable() - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
copyValues(TableColumn) - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTableColumn
 
CORR - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
CORR - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
CORR_Switch - Static variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
CORRELATION_COEFFICIENT - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.ResultType
 
CORRELATION_COEFFICIENT - Static variable in class edu.ucla.stat.SOCR.analyses.result.ResultType
 
CORRELATION_XY - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The correlation of x and y.
count - Variable in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
count - Variable in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
count - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
countNumberOfEdgeforNodeId(int) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
COUNTS - Static variable in class edu.uah.math.devices.CellGrid
 
countVotes() - Method in class edu.uah.math.devices.BallotGraph
This method randomly counts the votes.
CouponCollectorExperiment - Class in edu.uah.math.experiments
The coupon collector experiment consists of selecting a sampling, with replacement from a finite population.
CouponCollectorExperiment() - Constructor for class edu.uah.math.experiments.CouponCollectorExperiment
 
CouponCollectorExperiment - Class in edu.ucla.stat.SOCR.experiments
The coupon collector experiment consists of selecting a sampling, with replacement from a finite population.
CouponCollectorExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.CouponCollectorExperiment
Initialize the experiment
CouponDistribution - Class in edu.uah.math.distributions
This class models the distribution of the sample size needed to get a specified number of distinct sample values when sampling with replacement from a finite population of a specified size.
CouponDistribution(int, int) - Constructor for class edu.uah.math.distributions.CouponDistribution
This general constructor creates a new coupon distribution with specified population size and a specified number of distinct values.
CouponDistribution() - Constructor for class edu.uah.math.distributions.CouponDistribution
This general constructor creates a new coupon distribution with population size 10 and and 10 distinct values.
CouponDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the distribution of the sample size needed to get a specified number of distinct sample values when sampling with replacement from a finite population of a specified size: http://www.math.uah.edu/stat/urn/Coupon.xhtml
CouponDistribution(int, int) - Constructor for class edu.ucla.stat.SOCR.distributions.CouponDistribution
This general constructor: creates a new coupon distribution with specified population size and distinct sample size.
CouponDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.CouponDistribution
This general constructor creates a new coupon distribution with population size 10 and distinct sample size 10.
COVARIANCE_XY - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The covariance of x and y.
COVR - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
COVR_Switch - Static variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
cPanel - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
CPLXSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
CRAPS - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
CRAPS - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
CRAPS12 - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
CRAPS12 - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
CRAPS2 - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
CRAPS2 - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
CRAPS3 - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
CRAPS3 - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
CrapsExperiment - Class in edu.uah.math.experiments
This class simulates the basic casino craps game.
CrapsExperiment() - Constructor for class edu.uah.math.experiments.CrapsExperiment
 
CrapsExperiment - Class in edu.ucla.stat.SOCR.experiments
The basic casino craps game
CrapsExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.CrapsExperiment
Initialize the experiment
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
Create the actions for the buttons
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.chart.Chart
add the tabs to the toolbar
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
createActionComponents(JToolBar) - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
createChangeListener() - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
Subclasses that want to handle model ChangeEvents differently can override this method to return their own ChangeListener implementation.
createChart() - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
createChart() - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator
 
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.AreaChartDemo1
Creates a Area chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo1
Creates a 3D bar chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo2
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo3
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo1
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo2
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo3
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo4
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo5
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo7
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo8
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo9
Creates a sample chart.
createChart(BoxAndWhiskerCategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo1
Creates a sample chart.
createChart(BoxAndWhiskerCategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
Creates a sample chart.
createChart(BoxAndWhiskerCategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo3
Creates a sample chart.
createChart(XYZDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BubbleChartDemo1
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.CategoryStepChartDemo1
Creates a chart.
createChart(ValueDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.CompassDemo1
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo1
Creates the demo chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo3
 
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo4
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.DifferenceChartDemo1
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.EventFrequencyDemo1
Creates a sample chart.
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo
 
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo2
 
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo3
 
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo4
 
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo5
 
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo6
 
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
Returns the chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.IndexChart
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LayeredBarChartDemo1
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LayeredBarChartDemo2
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1a
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1b
Creates a sample chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo2
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo3
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo5
Creates a sample chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo6
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.NormalDistributionDemo
Creates a line chart using the data from the supplied dataset.
createChart(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo1
Creates a sample chart.
createChart(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo2
Creates a demo chart.
createChart(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo3
Creates a sample chart.
createChart(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo1
Creates a chart
createChart(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo2
Creates a sample chart.
createChart(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo3
Creates a demo chart.
createChart(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo4
 
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PolarChartDemo1
Creates a sample chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
Creates a chart.
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.QQData2DataDemo
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.QQNormalPlotDemo
Creates a chart.
createChart(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.RingChartDemo1
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.ScatterChartDemo1
Creates a chart.
createChart(XYDataset[]) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.SpiderWebChartDemo1
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedAreaChartDemo
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo1
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo2
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo3
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo4
Creates a sample chart.
createChart(TableXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedXYAreaChartDemo1
Creates a sample chart.
createChart(TableXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedXYAreaChartDemo2
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo1
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo1a
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo2
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo3
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo1
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo1a
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo2
Creates a sample chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo3
Creates a sample chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.SymbolAxisDemo1
 
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.WaterfallChartDemo1
Returns the chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo1
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo2
Creates a chart.
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo1
 
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo2
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.XYStepRendererDemo1
Creates a sample chart.
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.YIntervalChartDemo1
Creates a new chart.
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.YIntervalChartDemo1a
Creates a new chart.
createChart(TableXYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
Creates a chart.
createChart(BoxAndWhiskerCategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
Creates a chart.
createChart(BoxAndWhiskerCategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
Creates a chart.
createChart(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
Creates a chart.
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
Creates a chart.
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
Creates a chart.
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperNormalDistributionChart
Creates a chart.
createChart(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
Creates a chart.
createChart(ValueDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
Creates a chart.
createChart(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_Time
Creates a chart.
createChart(XYZDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
Creates a chart.
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
Creates a chart.
createChart(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
Creates a chart.
createChart1(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
Creates a chart.
createChart1(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
Creates a chart.
createChart2(BoxAndWhiskerCategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
 
createComboBoxes() - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
createComponentSetter(String, JComponent) - Method in class edu.ucla.stat.SOCR.core.SOCRValueSettable
 
createDataset() - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
createDataset(String) - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
createDataset() - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.AreaChartDemo1
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo1
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo2
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo3
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo1
Returns a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo2
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo3
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo4
Returns a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo5
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo7
Returns a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo8
Returns a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo9
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo1
Returns a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo3
Returns a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.BubbleChartDemo1
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.CategoryStepChartDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo3
Creates a dataset, consisting of two series of monthly data.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo4
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.DifferenceChartDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.EventFrequencyDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo2
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo3
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo4
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo5
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo6
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
Creates a sample dataset for the demo.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.LayeredBarChartDemo1
Returns a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.LayeredBarChartDemo2
Returns a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1a
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1b
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo2
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo3
creaets XYDataset
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo5
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo6
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.NormalDistributionDemo
Creates a dataset with sample values from the normal distribution function.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo1
Creates a sample dataset for the demo.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo2
Creates a sample dataset for the demo.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo3
Creates a sample dataset for the demo.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo1
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo2
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo4
Creates a sample dataset.
createDataset(int) - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo4
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PolarChartDemo1
Returns a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.QQData2DataDemo
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.QQNormalPlotDemo
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.RingChartDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.ScatterChartDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.SpiderWebChartDemo1
Returns a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedAreaChartDemo
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo2
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo3
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo4
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedXYAreaChartDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedXYAreaChartDemo2
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo1a
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo2
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo3
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo1a
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo2
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo3
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.SymbolAxisDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.WaterfallChartDemo1
Creates a sample dataset for the demo.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo1
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo2
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo2
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.XYStepRendererDemo1
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.YIntervalChartDemo1
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.YIntervalChartDemo1a
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_Time
Creates a sample dataset.
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
createDataset(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
createDataset1(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
Creates a sample dataset.
createDataset1(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.IndexChart
Creates a sample dataset.
createDataset1(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
createDataset2(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
 
createDataset2(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
createDatasetForSingleColumn(boolean) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
createDateset(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.CompassDemo1
 
createDefaultColumnsFromModel() - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTable
Creates default columns for the table from the data model using the getColumnCount method defined in the TableModel interface.
createDefaultHeaderEditor() - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTableColumn
 
createDefaultTableHeader() - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTable
Returns the default table header object, which is a EditableHeader.
createEmptyChart(PieDataset) - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
createEmptyChart(PieDataset) - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
createEmptyChart(PieDataset) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
createEmptyChart(String, PieDataset) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
createEmptyChart(PieDataset) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
createEmptyChart(PieDataset) - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
createEmptyChart(PieDataset) - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
createEmptyChart(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
createEmptyChart(String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
this generates an empty chart, used in init
CreateImplementationFile - Class in edu.ucla.stat.SOCR.core
this class used to create Implementation files used to initiate the comboBox, its goal is to replace the ClassLoader.
CreateImplementationFile() - Constructor for class edu.ucla.stat.SOCR.core.CreateImplementationFile
 
CreateImplementedChartsFile - Class in edu.ucla.stat.SOCR.core
this class used to create Implementation files used to initiate the comboBox, its goal is to replace the ClassLoader.
CreateImplementedChartsFile() - Constructor for class edu.ucla.stat.SOCR.core.CreateImplementedChartsFile
 
createItemArray(XYZDataset, int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionToolTipGenerator
Creates the array of items that can be passed to the MessageFormat class for creating labels.
createLabels() - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.AreaChartDemo1
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo1
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo4
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo5
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo7
 
createLegend(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo1
 
createLegend(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo3
 
createLegend(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.DifferenceChartDemo1
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.EventFrequencyDemo1
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LayeredBarChartDemo1
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LayeredBarChartDemo2
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo5
 
createLegend(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo6
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo4
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo1
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo1a
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo2
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo3
 
createLegend(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo1
 
createLegend(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo2
 
createLegend(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo2
 
createLegend(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.XYStepRendererDemo1
 
createLegend(TableXYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
createLegend(BoxAndWhiskerCategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
createLegend(BoxAndWhiskerCategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Bar
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Bar3D
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
 
createLegend(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
createLegend(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
createLegend(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
createLegend(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
createLegend(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
createLegend(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo2
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Bar
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Bar3D
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
createLegendChart(JFreeChart) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
createMouseInputListener() - Method in class edu.ucla.stat.SOCR.util.EditableHeaderUI
 
createPlayerEventListener() - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
createQQChart(String, String, String, XYDataset, String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
createQQChart(String, String, String, XYDataset, String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator
 
createValueList(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
createValueList(String) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
 
createValueList(double, double, int) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
createValueList(String) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
createValueList(double, double, int) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
createValueList(String) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
createValueList(double, double, int) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
createValueList(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
createValueList(String) - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
reset dataTable to default (demo data), and refesh chart
createValueSetter(String, int, int, int, int) - Method in class edu.ucla.stat.SOCR.core.SOCRValueSettable
 
createValueSetter(String, int, int, int) - Method in class edu.ucla.stat.SOCR.core.SOCRValueSettable
 
createValueSetter(String, int, int, double) - Method in class edu.ucla.stat.SOCR.core.SOCRValueSettable
 
createValueSetter(String, int, int, int, double) - Method in class edu.ucla.stat.SOCR.core.SOCRValueSettable
 
createVertex(String, double, double, double, double, Color, boolean) - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
createVertex(SOCRNode, double, double, double, double, Color, boolean) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
createXYDataset(String, double[], double[], String, double, double) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
createXYDataset(String, double[], double[], String, double, double) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator
 
CRITICAL_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
CriticalGraph - Class in edu.uah.math.devices
This class defines a graph used in interval estimation and hypothesis testing experiments.
CriticalGraph(Distribution) - Constructor for class edu.uah.math.devices.CriticalGraph
This general constructor creates a new critical graph with a specified distribution.
CriticalGraph() - Constructor for class edu.uah.math.devices.CriticalGraph
This default constructor creates a new critical graph with a normally distributed random variable.
CriticalGraph - Class in edu.ucla.stat.SOCR.util
This class defines a graph used in interval estimation and hypothesis testing experiments.
CriticalGraph(RandomVariable) - Constructor for class edu.ucla.stat.SOCR.util.CriticalGraph
This general constructor creates a new random variable graph with a specified random variable.
criticalPoints - Static variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
crossEvent() - Method in class edu.uah.math.devices.CoinFloor
This method determines if the crossing event has occurred.
crossEvent() - Method in class edu.uah.math.devices.NeedleFloor
This method determines if the cross event has occurred.
crossEvent() - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method determines if the crossing event has occurred.
crossEvent() - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
Determine if the cross event has occurred
CrosshairDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
An example of a crosshair being controlled by an external UI component.
CrosshairDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo1
 
CrosshairDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
A crosshair demo.
CrosshairDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo3
 
CrosshairDemo4 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration of the crosshairs that can be displayed in an XYPlot.
CrosshairDemo4() - Constructor for class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo4
 
CryptoUtil - Class in edu.ucla.stat.SOCR.servlet.util
 
CryptoUtil() - Constructor for class edu.ucla.stat.SOCR.servlet.util.CryptoUtil
 
cummulativeGE(int, int, double) - Static method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentWilcoxon
 
cummulativeLE(int, int, double) - Static method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentWilcoxon
 
currentDepIndex - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
currentDepIndex - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
currentImage - Variable in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
currentIndepIndex - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
currentIndepIndex - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
currentXLowerBound - Variable in class edu.ucla.stat.SOCR.util.Graph
 
currentXLowerBound - Variable in class edu.ucla.stat.SOCR.util.varHistogram
 
currentXUpperBound - Variable in class edu.ucla.stat.SOCR.util.Graph
 
currentXUpperBound - Variable in class edu.ucla.stat.SOCR.util.varHistogram
 
CurvedGaussian - Class in edu.ucla.stat.SOCR.chart.util
 
CurvedGaussian(double, double, double) - Constructor for class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
CurvedGaussian - Class in edu.ucla.stat.SOCR.util
 
CurvedGaussian(int, int, double) - Constructor for class edu.ucla.stat.SOCR.util.CurvedGaussian
 
CurvedGaussMixture - Class in edu.ucla.stat.SOCR.chart.util
 
CurvedGaussMixture(double, double, Database) - Constructor for class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
CustomBarRenderer - Class in edu.ucla.stat.SOCR.chart.gui
A custom renderer that returns a different color for each item in a single series.
CustomBarRenderer(Paint[]) - Constructor for class edu.ucla.stat.SOCR.chart.gui.CustomBarRenderer
Creates a new renderer.
CustomCategoryItemLabelGenerator - Class in edu.ucla.stat.SOCR.chart.gui
A custom label generator.
CustomCategoryItemLabelGenerator() - Constructor for class edu.ucla.stat.SOCR.chart.gui.CustomCategoryItemLabelGenerator
 
CustomJTable - Class in edu.ucla.stat.SOCR.chart.gui
 
CustomJTable(DefaultTableModel) - Constructor for class edu.ucla.stat.SOCR.chart.gui.CustomJTable
 
CustomPieSectionLabelGenerator - Class in edu.ucla.stat.SOCR.chart.gui
A custom label generator (returns null for one item as a test).
CustomPieSectionLabelGenerator() - Constructor for class edu.ucla.stat.SOCR.chart.gui.CustomPieSectionLabelGenerator
 
CV_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 

D

D_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
DATA - Static variable in class edu.uah.math.devices.StatisticsTable
 
Data - Class in edu.uah.math.distributions
This class models a simple implementation of a data distribution.
Data(String) - Constructor for class edu.uah.math.distributions.Data
This general constructor creates a new data set with a prescribed name.
Data() - Constructor for class edu.uah.math.distributions.Data
This default constructor creates a new data with the name "X".
data - Variable in class edu.ucla.stat.SOCR.analyses.command.volume.FDR
 
Data - Class in edu.ucla.stat.SOCR.analyses.data
 
Data() - Constructor for class edu.ucla.stat.SOCR.analyses.data.Data
NOTE: ALL THE QUANTITATIVE DATA ARE FORCED TO CHANGE TO THE FORM OF double[].
DATA - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
data - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
Data - Class in edu.ucla.stat.SOCR.analyses.jri.data
 
Data() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.data.Data
NOTE: ALL THE QUANTITATIVE DATA ARE FORCED TO CHANGE TO THE FORM OF double[].
DATA - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
data - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
DATA - Static variable in class edu.ucla.stat.SOCR.chart.Chart
 
data - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
data - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
data - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
data - Variable in class edu.ucla.stat.SOCR.util.varHistogram
 
data2Table(String[], double[], String, String, int) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
for QQPower, use data from one array to fill a JTable
DATA_ARRAY - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
DATA_COLINEAR_MESSAGE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DATA_COLINEAR_MESSAGE - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
data_count - Variable in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
 
data_count - Variable in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
DATA_ERROR_MESSAGE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DATA_MISSING_MESSAGE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DATA_MISSING_MESSAGE - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
DATA_MISSING_MESSAGE - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
DATA_RANK_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
DATA_RANK_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
DATA_RANK_SEPARATE_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
DATA_RANK_SEPARATE_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
DATA_SUMMARY_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
DATA_SUMMARY_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
DATA_TABLE_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
DATA_TABLE_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
Database - Class in edu.ucla.stat.SOCR.chart.util
 
Database() - Constructor for class edu.ucla.stat.SOCR.chart.util.Database
 
Database(double, double) - Constructor for class edu.ucla.stat.SOCR.chart.util.Database
 
Database(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.chart.util.Database
 
Database - Class in edu.ucla.stat.SOCR.util
 
Database(int, int, Color) - Constructor for class edu.ucla.stat.SOCR.util.Database
 
DataCase - Class in edu.ucla.stat.SOCR.analyses.data
 
DataCase() - Constructor for class edu.ucla.stat.SOCR.analyses.data.DataCase
 
DataCase(double, int) - Constructor for class edu.ucla.stat.SOCR.analyses.data.DataCase
 
DataCase(double, String) - Constructor for class edu.ucla.stat.SOCR.analyses.data.DataCase
 
DataCase(double, double, String) - Constructor for class edu.ucla.stat.SOCR.analyses.data.DataCase
 
dataColinear(double[], double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
DataConvertor - Class in edu.ucla.stat.SOCR.chart.data
Convert various JFreeChart Dataset to JTable
DataConvertor() - Constructor for class edu.ucla.stat.SOCR.chart.data.DataConvertor
 
dataDist - Variable in class edu.ucla.stat.SOCR.util.NormalCurve
 
DataException - Exception in edu.ucla.stat.SOCR.analyses.exception
 
DataException() - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.DataException
 
DataException(String) - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.DataException
 
DataFrame - Class in edu.ucla.stat.SOCR.analyses.data
 
DataFrame(String, int) - Constructor for class edu.ucla.stat.SOCR.analyses.data.DataFrame
 
DataGraph - Class in edu.ucla.stat.SOCR.util
 
DataGraph(IntervalData, int) - Constructor for class edu.ucla.stat.SOCR.util.DataGraph
This general constructor creates a new data graph with a specified data set and axis type.
DataGraph() - Constructor for class edu.ucla.stat.SOCR.util.DataGraph
This default constructor creates a new data graph with a new data set on the interval [0, 1] with subintervals of length 0.1.
DataIsEmptyException - Exception in edu.ucla.stat.SOCR.analyses.exception
 
DataIsEmptyException() - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.DataIsEmptyException
 
DataIsEmptyException(String) - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.DataIsEmptyException
 
dataObject - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
dataObject - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
dataObject - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
dataObject - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
dataPanel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
dataPanel - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
dataPanel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
dataPanel - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
dataPanel2 - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
DataPts - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
DataPts - Variable in class edu.ucla.stat.SOCR.core.sampler
 
dataset - Variable in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
dataset - Variable in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
dataset - Variable in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
dataset - Variable in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
dataset - Variable in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
 
dataset - Variable in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
dataset - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
dataset - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
dataset2Table(AbstractDataset, int) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
 
dataset2Table(DefaultPieDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
use the data from a DefaultPieDataset to fill a JTable
dataset2Table(DefaultPieDataset, String[]) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
 
dataset2Table(DefaultStatisticalCategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
Use the data from a DefaultStatisticalCategoryDataset to fill a JTable
dataset2Table(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
Use the data from a CategoryDataset to fill a JTable
dataset2Table(TimeSeriesCollection) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
use data from a TimeSeriesCollection dataset to fill a JTable
dataset2Table(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
use data from a IntervalXYDataset to fill a JTable
dataset2Table(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
use data from a XYDataset to fill a JTable
dataset2Table(XYZDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
use data from a XYZDataset to fill a JTable
dataset2Table(ValueDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
use data from a ValueDataset to fill a JTable
dataset2Table_vertical(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
Use the data from a CategoryDataset to fill a JTable
dataset2TableA(DefaultStatisticalCategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
Use the data from a DefaultStatisticalCategoryDataset to fill a JTable separate the (mean, std) into 2 columns
datasetChanged(DatasetChangeEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Receives notification of an dataset change event.
datasetChanged(DatasetChangeEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Receives notification of an dataset change event.
datasetChanged(DatasetChangeEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
Receives notification of an dataset change event.
DataTable - Class in edu.uah.math.devices
This class models a simple data table.
DataTable(IntervalData) - Constructor for class edu.uah.math.devices.DataTable
This general constructor creates a new data table with a specified interval data set.
DataTable() - Constructor for class edu.uah.math.devices.DataTable
This default constructor creates a new data table with a default interval data set on (0, 1).
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.AnovaOneWayExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.ChiSquareContingencyTableExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.ChiSquareModelFitExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.CIExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.DichotomousProportionExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.ExampleDataOnServer
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.ExampleDataRandom
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.FlignerKilleenExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.KolmogorovSmirnoffExamples
 
dataTable - Static variable in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionBostonExample
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.OneTExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.SimpleLinearRegressionExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.SurvivalExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentFriedmanExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentKruskalWalliesExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentTExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentWilcoxonExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignedRankExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignTestExamples
 
dataTable - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
 
dataTable - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
dataTable - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
dataTable - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
dataTable - Variable in class edu.ucla.stat.SOCR.chart.ChartExampleData
 
dataTable - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
dataTable - Variable in class edu.ucla.stat.SOCR.util.ANOVAExampleData
 
DataTable - Class in edu.ucla.stat.SOCR.util
This class models a simple data table
DataTable(IntervalData, int) - Constructor for class edu.ucla.stat.SOCR.util.DataTable
Constructor
DataTable(IntervalData) - Constructor for class edu.ucla.stat.SOCR.util.DataTable
Constructor
dataTable - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
dataText - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
dataText - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
dataText - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
dataText - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
dataText - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
DataType - Class in edu.ucla.stat.SOCR.analyses.data
 
DataType() - Constructor for class edu.ucla.stat.SOCR.analyses.data.DataType
 
DataValidation - Class in edu.ucla.stat.SOCR.analyses.gui
 
DataValidation() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.DataValidation
 
DataValidation - Class in edu.ucla.stat.SOCR.analyses.jri.gui
 
DataValidation() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.gui.DataValidation
 
date - Variable in class edu.ucla.stat.SOCR.motionchart.MotionKey
 
DateParser - Class in edu.ucla.stat.SOCR.chart.data
parse String into JFreeChart's date data type
DateParser() - Constructor for class edu.ucla.stat.SOCR.chart.data.DateParser
 
datGenPanel - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
Daubechies - Class in edu.ucla.stat.SOCR.games.wavelet
This is a very fast implementation of the Fast Wavelet Transform.
Daubechies() - Constructor for class edu.ucla.stat.SOCR.games.wavelet.Daubechies
 
db - Variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
DB - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
db - Variable in class edu.ucla.stat.SOCR.util.Mixture
 
dBeta - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
dBinomial - Variable in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
DEAD_CONSTANT - Static variable in class edu.ucla.stat.SOCR.analyses.data.SurvivalObject
 
deal() - Method in class edu.uah.math.devices.CardHand
This method randomly deals a specified number of cards.
deal(int) - Method in class edu.ucla.stat.SOCR.util.Deck
This method deals n cards.
debug - Variable in class edu.ucla.stat.SOCR.distributome.data.Edge
 
debug - Variable in class edu.ucla.stat.SOCR.distributome.data.Formula
 
debug - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
debug - Variable in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
debug - Variable in class edu.ucla.stat.SOCR.distributome.EditorApplet
 
DEBUG - Static variable in class edu.ucla.stat.SOCR.JRI.Rengine
 
debugOn - Variable in class edu.ucla.stat.SOCR.util.JarResources
 
decimalFormat - Variable in class edu.ucla.stat.SOCR.analyses.gui.AnalysisPanel
 
decimalFormat - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.AnalysisPanel
 
decimalFormat - Variable in class edu.ucla.stat.SOCR.chart.ChartPanel
 
decimalFormat - Variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
decimalFormat - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
Deck - Class in edu.ucla.stat.SOCR.util
This class is a container that holds cards.
Deck(int) - Constructor for class edu.ucla.stat.SOCR.util.Deck
This general constructor creates a new deck that can show a specified number of cards.
Deck() - Constructor for class edu.ucla.stat.SOCR.util.Deck
This default constructor creates a new deck that can show 5 cards.
decodeError(DecodingException) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Receives notification of a decoding error.
decompressFile(String, String) - Static method in class edu.ucla.stat.SOCR.util.GZIP
 
decompressObject(Object) - Static method in class edu.ucla.stat.SOCR.util.GZIP
 
decompressString(ByteArrayOutputStream) - Static method in class edu.ucla.stat.SOCR.util.GZIP
 
decrypt(byte[], Key) - Static method in class edu.ucla.stat.SOCR.servlet.util.CryptoUtil
 
DEFAULT_ANALYSIS_NAME - Static variable in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
DEFAULT_BACKGROUND_COLOR - Static variable in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
 
default_bin - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
DEFAULT_COLOR - Static variable in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
 
DEFAULT_DATA_PANEL_HEIGHT - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DEFAULT_DATA_PANEL_WIDTH - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DEFAULT_DATAVALUE_NAME - Static variable in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
DEFAULT_ELEMENT_NAME - Static variable in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
DEFAULT_FONT - Static variable in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
 
DEFAULT_FPS - Static variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
DEFAULT_HEADER - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DEFAULT_HEADER - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
DEFAULT_HEADER - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
DEFAULT_HEADER_1 - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DEFAULT_HEADER_2 - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DEFAULT_HORIZONTAL_ALIGN - Static variable in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
 
DEFAULT_IN_FNAME - Static variable in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
DEFAULT_MAX_COLUMN_NUMBER - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DEFAULT_MAX_X - Static variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
DEFAULT_MAX_Y - Static variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
DEFAULT_MIN_X - Static variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
DEFAULT_OUT_FNAME - Static variable in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
DEFAULT_PANE_HEIGHT - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DEFAULT_PANE_WIDTH - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
Start Variable Declaration
DEFAULT_PARSER_NAME - Static variable in class edu.ucla.stat.SOCR.JRI.XMLtree
 
DEFAULT_RESULT_PANEL_HEIGHT - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DEFAULT_RESULT_PANEL_WIDTH - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
DEFAULT_SAMPLE_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
DEFAULT_SCREEN_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
DEFAULT_SCREEN_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
DEFAULT_TEMPLATE_FNAME - Static variable in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
DEFAULT_TOOL_TIP_FORMAT - Static variable in class edu.ucla.stat.SOCR.motionchart.MotionToolTipGenerator
The default tooltip format.
DEFAULT_VARIABLE_SIZE - Variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
DEFAULT_VERTICAL_ALIGN - Static variable in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
 
defaultHeader - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
DefaultImageCellRenderer - Class in edu.ucla.stat.SOCR.util.tablemodels.renderers
The standard class for rendering cells with DefaultImageWrapper value.
DefaultImageCellRenderer() - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.renderers.DefaultImageCellRenderer
 
DefaultImageWrapper - Class in edu.ucla.stat.SOCR.util.tablemodels.wrappers
DefaultImageWrapper class is used by DefaultImageCellRenderer as a container for image and its properties.
DefaultImageWrapper(ImageIcon, String, boolean, boolean) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultImageWrapper
Constructs a DefaultImageWrapper with the specified image, path to image, fitCellRect and keepAspectRatio properties.
DefaultRowComparator - Class in edu.ucla.stat.SOCR.util.tablemodels
Default implementation of RowComparator interface.
DefaultRowComparator() - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.DefaultRowComparator
 
DefaultTextCellRenderer - Class in edu.ucla.stat.SOCR.util.tablemodels.renderers
The standard class for rendering cells with DefaultTextWrapper value.
DefaultTextCellRenderer() - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.renderers.DefaultTextCellRenderer
 
DefaultTextWrapper - Class in edu.ucla.stat.SOCR.util.tablemodels.wrappers
DefaultTextWrapper class is used by DefaultTextCellRenderer as a container for text and its properties.
DefaultTextWrapper(String, Color, Color, Font, int, int) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Constructs a DefaultTextWrapper with the specified text, text color, background text color, font, horizontal alignment and vertical alignment.
DefaultTextWrapper(String) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Constructs a DefaultTextWrapper with the specified text
DefaultTextWrapper(String, Color) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Constructs a DefaultTextWrapper with the specified text and text color.
DefaultTextWrapper(String, Color, Color) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Constructs a DefaultTextWrapper with the specified text, text color and background text color.
DefaultTextWrapper(String, Font) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Constructs a DefaultTextWrapper with the specified text and font.
DefaultTextWrapper(String, Color, Font) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Constructs a DefaultTextWrapper with the specified text, text color, font, horizontal alignment and vertical alignment.
DefaultTextWrapper(String, Color, Color, Font) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Constructs a DefaultTextWrapper with the specified text, text color, background text color and font.
DefaultTextWrapper(String, int, int) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Constructs a DefaultTextWrapper with the specified text, horizontal alignment and vertical alignment.
defaultXMax - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
defaultXMin - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
defaultYMax - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
defaultYMin - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
deleteCurrentPoint() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
DELIMINATOR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
DELIMITERS - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
DELIMITERS - Variable in class edu.ucla.stat.SOCR.chart.data.DataConvertor
 
DELIMITERS - Variable in class edu.ucla.stat.SOCR.chart.data.Summary
 
DemoDescription - Class in edu.ucla.stat.SOCR.chart
A description of a demo application (used by the SuperDemo.java application).
DemoDescription(String, String) - Constructor for class edu.ucla.stat.SOCR.chart.DemoDescription
Creates a new description.
DENSITY - Static variable in class edu.uah.math.devices.DataTable
 
DENSITY - Static variable in class edu.uah.math.devices.Histogram
 
density(int, int) - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
DENSITY - Static variable in class edu.ucla.stat.SOCR.util.DataGraph
 
DENSITY - Static variable in class edu.ucla.stat.SOCR.util.Histogram
 
DENSITY - Static variable in class edu.ucla.stat.SOCR.util.varHistogram
 
densityConstant(double) - Static method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
This method gets the density-constant term
DEPENDENT - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
DEPENDENT - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
DEPENDENT_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.data.Data
 
DEPENDENT_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
dependentHeaders - Variable in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
dependentHeaders - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
dependentIndex - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
dependentIndex - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
dependentIndex - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
dependentLength - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
dependentList - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
dependentListCursor - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
dependentPane - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
dependentVarLength - Variable in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
dependentVarLength - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
depLabel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
depLabel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
depLabel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
depMax - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
depMax - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
depMax - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
depValues - Variable in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
depValues - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
DESCENDING - Static variable in interface edu.ucla.stat.SOCR.util.tablemodels.SortOrderConstants
Specifies descending sort order
destroy() - Method in class edu.ucla.stat.SOCR.util.SortItem
Deallocate resources of applet.
DF - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
the variance of a sample.
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
the variance of a sample.
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
DF - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
DF_ADJUSTED - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
DF_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
DF_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
DF_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
DF_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
DF_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
DF_ERROR_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
DF_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
DF_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
DF_MODEL - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
DF_MODEL - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
DF_MODEL - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
DF_MODEL_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
DF_TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
DF_TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
DF_TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
dFormat - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
dFormat - Variable in class edu.ucla.stat.SOCR.analyses.result.AnalysisResult
 
dFormat - Variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
dFormat - Variable in class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
 
dfParamField - Variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
dfParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
diag() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
DIAMONDS - Static variable in class edu.uah.math.devices.Card
 
DIAMONDS - Static variable in class edu.ucla.stat.SOCR.util.Card
 
DiceBoard - Class in edu.uah.math.devices
This class is a container that holds dice.
DiceBoard(int, double[], int, Color, Color) - Constructor for class edu.uah.math.devices.DiceBoard
This general constructor creates a new dice board with a specified number of dice, a specified preferred size, specified probability distribution, and specified colors.
DiceBoard(int, double[], int) - Constructor for class edu.uah.math.devices.DiceBoard
This special constructor creates a new dice board with a specified number of dice, size, probability distribution, and with default back color red and default spot color white.
DiceBoard(int, double[]) - Constructor for class edu.uah.math.devices.DiceBoard
This special constructor creates a new dice board with a specified number of dice, a spcified probability distribution, and with default size 36, back color red and spot color white.
DiceBoard(int, int, int, Color, Color) - Constructor for class edu.uah.math.devices.DiceBoard
This general constructor creates a new dice board with a specified number of dice, a specified probability distribution of special type, and with specified size and colors.
DiceBoard(int, int, int) - Constructor for class edu.uah.math.devices.DiceBoard
This sepcial constructor creates a new dice board with a specified number of dice, of a special type, a specified size, and with default colors.
DiceBoard(int, int) - Constructor for class edu.uah.math.devices.DiceBoard
This sepcial constructor creates a new dice board with a specified number of dice, of a special type, a specified size, and with size and colors.
DiceBoard(int) - Constructor for class edu.uah.math.devices.DiceBoard
This sepcial constructor creates a new dice board with a specified number of fair dice, and with default size and colors.
DiceBoard() - Constructor for class edu.uah.math.devices.DiceBoard
This default constructor cretes a new dice board with 10 fair dice, and with default size and colors.
DiceBoard - Class in edu.ucla.stat.SOCR.util
This class is a container that holds dice.
DiceBoard(int, double[], int, Color, Color) - Constructor for class edu.ucla.stat.SOCR.util.DiceBoard
This general constructor creates a new dice board with a specified number of dice, probability distribution, specified size, and specified colors.
DiceBoard(int, double[], int) - Constructor for class edu.ucla.stat.SOCR.util.DiceBoard
This special constructor creates a new dice board with a specified number of dice, probability distribution and size, and with default back color red and default spot color green.
DiceBoard(int, double[]) - Constructor for class edu.ucla.stat.SOCR.util.DiceBoard
This special constructor creates a new dice board with a specified number of dice and specified probability distribution, and with default colors and size.
DiceBoard(int, int, int) - Constructor for class edu.ucla.stat.SOCR.util.DiceBoard
This special constructor creates a new dice board with a specified number of dice, a specified probability distribution of special type, and a specified size, and with default colors.
DiceBoard(int, int) - Constructor for class edu.ucla.stat.SOCR.util.DiceBoard
This special constructor ctreates a ndw dice board with a specified number of dice and a specified special distribution.
DiceBoard(int) - Constructor for class edu.ucla.stat.SOCR.util.DiceBoard
This sepcial constructor creates a new dice board with a specified number of fair dice, and with default size and colors.
DiceBoard() - Constructor for class edu.ucla.stat.SOCR.util.DiceBoard
This default constructor cretes a new dice board with 10 fair dice, and with default size and colors.
DiceDistributionGraph - Class in edu.uah.math.devices
This class is a special graph that shows a true die distribution, a hypothesized die distribution and a data distribution, for use in a goodness of fit test.
DiceDistributionGraph(RandomVariable, DieDistribution) - Constructor for class edu.uah.math.devices.DiceDistributionGraph
This general constructor creates a new graph with a specified random variable (which includes the true and data distributions), and a specified hypothesized distribution.
DiceDistributionGraph() - Constructor for class edu.uah.math.devices.DiceDistributionGraph
This default constructor creates a new dice distribution graph with fair true distribution and test distribution.
DiceDistributionGraph - Class in edu.ucla.stat.SOCR.util
 
DiceDistributionGraph(RandomVariable, DieDistribution) - Constructor for class edu.ucla.stat.SOCR.util.DiceDistributionGraph
 
DiceExperiment - Class in edu.uah.math.experiments
This class models a basic experiment that consists of rolling n dice.
DiceExperiment() - Constructor for class edu.uah.math.experiments.DiceExperiment
 
DiceExperiment - Class in edu.ucla.stat.SOCR.experiments
A basic experiment that consists of rolling n dice.
DiceExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.DiceExperiment
Initialize the experiment
DiceSampleExperiment - Class in edu.uah.math.experiments
This class models a simple experiment that consists of rolling n dice, thus sampling from the underlying die distribution.
DiceSampleExperiment() - Constructor for class edu.uah.math.experiments.DiceSampleExperiment
 
DiceSampleExperiment - Class in edu.ucla.stat.SOCR.experiments
A simple experiment that consists of rolling n dice, thus sampling from the underlying die distribution
DiceSampleExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.DiceSampleExperiment
Initialize the experiment
DICHOTOMOUS_PROPORTION - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
DICHOTOMOUS_PROPORTION_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
DichotomousProportion - Class in edu.ucla.stat.SOCR.analyses.gui
 
DichotomousProportion() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
 
DichotomousProportion - Class in edu.ucla.stat.SOCR.analyses.model
 
DichotomousProportion() - Constructor for class edu.ucla.stat.SOCR.analyses.model.DichotomousProportion
 
DichotomousProportionCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
DichotomousProportionCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.DichotomousProportionCSV
 
DichotomousProportionExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
DichotomousProportionExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.DichotomousProportionExamples
Constructor method for simple data generation for regression/correlation tests
DichotomousProportionExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.DichotomousProportionExamples
 
DichotomousProportionResult - Class in edu.ucla.stat.SOCR.analyses.result
 
DichotomousProportionResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
Constructors
DichotomousProportionResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
Die - Class in edu.uah.math.devices
This class models a standard, 6-sided die with specified colors and probabilities.
Die(double[], int, Color, Color) - Constructor for class edu.uah.math.devices.Die
This general constructor creates a new die with specified probabilities, size, back color, and spot color.
Die(double[], int) - Constructor for class edu.uah.math.devices.Die
This special constructor creates a new die with and specified probabilities and size, and with default back color red and spot color white.
Die(double[]) - Constructor for class edu.uah.math.devices.Die
This special constructor creates a new die with and specified probabilities and with default size 36 and with back color red and spot color white.
Die(int, int, Color, Color) - Constructor for class edu.uah.math.devices.Die
This general constructor creates a new die with specified probabilities of special type, and with specified size and colors.
Die(int, int) - Constructor for class edu.uah.math.devices.Die
This special constructor creates a new die with specified probabilities of special type, and with specified size, and with default colors red and white.
Die(int) - Constructor for class edu.uah.math.devices.Die
This special constructor creates a new die with specified probabilities of special type, and with default size 36 and colors red and white.
Die() - Constructor for class edu.uah.math.devices.Die
This default constructor creates a new fair die, and with default size and colors.
Die - Class in edu.ucla.stat.SOCR.util
This class models a standard, 6-sided die with specified colors and probabilities.
Die(double[], int, Color, Color) - Constructor for class edu.ucla.stat.SOCR.util.Die
This general constructor creates a new die with specified probabilities, size, back color, and spot color
Die(double[], int) - Constructor for class edu.ucla.stat.SOCR.util.Die
This special constructor creates a new die with and specified probabilities and size, and with default back color red and spot color white
Die(double[]) - Constructor for class edu.ucla.stat.SOCR.util.Die
This special constructor creates a new die with specified probabilities and with default size of 32 pixels and default colors.
Die(int, int) - Constructor for class edu.ucla.stat.SOCR.util.Die
This special constructor creates a new die with a specified probabilities of special type and specified size, and with the default colors.
Die(int) - Constructor for class edu.ucla.stat.SOCR.util.Die
This special constructor creates a new fair die with specified probabilities of special type, and with the default size and colors.
Die() - Constructor for class edu.ucla.stat.SOCR.util.Die
Thid default constructor creates a new fair die, and with default size and colors.
DieCoinExperiment - Class in edu.uah.math.experiments
The die-coin experiment consists of rolling a die, and then tossing a coin the number of times shown on the die.
DieCoinExperiment() - Constructor for class edu.uah.math.experiments.DieCoinExperiment
 
DieCoinExperiment - Class in edu.ucla.stat.SOCR.experiments
The die-coin experiment consists of rolling a die, and then tossing a coin the number of times shown on the die
DieCoinExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.DieCoinExperiment
 
DieDistribution - Class in edu.uah.math.distributions
This class models the distribution for a standard 6-sided die.
DieDistribution(double[]) - Constructor for class edu.uah.math.distributions.DieDistribution
This general constructor creates a new die distribution with specified probabilities.
DieDistribution(int) - Constructor for class edu.uah.math.distributions.DieDistribution
This special constructor creates a new die distribution of a special type (1-6 flat, 2-5 flat, 3-4 flat, skewed left, skewed right, or fair).
DieDistribution() - Constructor for class edu.uah.math.distributions.DieDistribution
This default constructor creates a new fair die distribution.
DieDistribution - Class in edu.ucla.stat.SOCR.distributions
Distribution for a standard 6-sided die
DieDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.DieDistribution
General Constructor: creates a new die distribution with specified probabilities
DieDistribution(int) - Constructor for class edu.ucla.stat.SOCR.distributions.DieDistribution
Special constructor: creates a new die distribution of a special type
DieDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.DieDistribution
Default constructor: creates a new fair die distribution
DieProbabilityDialog - Class in edu.uah.math.devices
This class is a special dialog box for entering die probabilities.
DieProbabilityDialog(Frame) - Constructor for class edu.uah.math.devices.DieProbabilityDialog
This general constructor creates a new dialog box with a specified owner frame.
DieProbabilityDialog - Class in edu.ucla.stat.SOCR.util
 
DieProbabilityDialog(Frame) - Constructor for class edu.ucla.stat.SOCR.util.DieProbabilityDialog
 
diff(double[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.Regression
 
DIFF - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
diff(double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
DifferenceChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration of the XYDifferenceRenderer.
DifferenceChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.DifferenceChartDemo1
 
digitAugmentator(double) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
digitAugmentator(double) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
digitTruncator(double) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
digitTruncator(double) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
dimension - Variable in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
 
disChoice - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
DISCRETE - Static variable in class edu.uah.math.distributions.Distribution
 
DISCRETE - Static variable in class edu.uah.math.distributions.Domain
 
DISCRETE - Static variable in class edu.ucla.stat.SOCR.core.Distribution
 
DISCRETE - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
DISCRETE - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
DISCRETE - Static variable in class edu.ucla.stat.SOCR.distributions.Domain
 
DISCRETE - Static variable in class edu.ucla.stat.SOCR.util.RandomVariableGraph
 
DISCRETE_DISTRIBUTION_TYPE - Static variable in class edu.ucla.stat.SOCR.core.Modeler
 
DiscreteArcsineDistribution - Class in edu.uah.math.distributions
This class models the discrete arcsine distribution.
DiscreteArcsineDistribution(int) - Constructor for class edu.uah.math.distributions.DiscreteArcsineDistribution
This general constructor creates a new discrete arcsine distribution with a specified number of steps.
DiscreteArcsineDistribution() - Constructor for class edu.uah.math.distributions.DiscreteArcsineDistribution
This default constructor creates a new discrete arcsine distribution with 10 steps.
DiscreteArcsineDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the discrete ArcSine distribution that governs the last zero in a symmetric random walk on an interval.
DiscreteArcsineDistribution(int) - Constructor for class edu.ucla.stat.SOCR.distributions.DiscreteArcsineDistribution
This general constructor creates a new discrete arcsine distribution with a specified number of steps.
DiscreteArcsineDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.DiscreteArcsineDistribution
This default constructor creates a new discrete arcsine distribution with 10 steps.
DiscreteUniformDistribution - Class in edu.uah.math.distributions
This class models the discrete uniform distribution on a finite set.
DiscreteUniformDistribution(double, double, double) - Constructor for class edu.uah.math.distributions.DiscreteUniformDistribution
This general constructor creates a new discrete uniform distribution on a specified domain.
DiscreteUniformDistribution() - Constructor for class edu.uah.math.distributions.DiscreteUniformDistribution
This default constructor creates a new discrete uniform distribution on {1, 2, 3, 4, 5, 6}.
DiscreteUniformDistribution - Class in edu.ucla.stat.SOCR.distributions
The discrete uniform distribution on a finite set.
DiscreteUniformDistribution(double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.DiscreteUniformDistribution
 
DiscreteUniformDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.DiscreteUniformDistribution
 
displayInitInfo() - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
 
displayInitInfo() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
dispose() - Method in class edu.ucla.stat.SOCR.util.JScrollPaneAdjuster
 
dist - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
dist - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
dist - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
dist - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
dist - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
dist_meanValue - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
dist_meanValue - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
dist_SDValue - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
dist_SDValue - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
distance(SOCRPoint2D) - Method in class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
DISTRIBUTION - Static variable in class edu.uah.math.devices.StatisticsTable
 
Distribution - Class in edu.uah.math.distributions
This class models an abstract implmentation of a real probability distribution.
Distribution() - Constructor for class edu.uah.math.distributions.Distribution
 
Distribution - Class in edu.ucla.stat.SOCR.core
Distribution: An abstract implmentation of a real probability distribution.
Distribution() - Constructor for class edu.ucla.stat.SOCR.core.Distribution
 
DistributionGraph - Class in edu.uah.math.devices
This class defines a basic graph for displaying the probability density function or cumulative distribution function of a distribution.
DistributionGraph(Distribution) - Constructor for class edu.uah.math.devices.DistributionGraph
This general constructor creates a new distribution graph with a specified distribution.
DistributionGraph() - Constructor for class edu.uah.math.devices.DistributionGraph
This default constructor creates a new distribution graph corresponding to the normally distribution.
DistributionGraphPanel - Class in edu.ucla.stat.SOCR.core
 
DistributionGraphPanel(SOCRDistributionFunctors) - Constructor for class edu.ucla.stat.SOCR.core.DistributionGraphPanel
 
Distributome_XMLReader - Class in edu.ucla.stat.SOCR.distributome.xml
 
Distributome_XMLReader() - Constructor for class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
DistributomeEditor - Class in edu.ucla.stat.SOCR.distributome.editor
 
DistributomeEditor() - Constructor for class edu.ucla.stat.SOCR.distributome.editor.DistributomeEditor
Constructs a Provenance Editor.
divide(Matrix, Matrix) - Static method in class edu.ucla.stat.SOCR.util.Matrix
 
do_ancova(Document) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
do_anova(Document) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
do_dd() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
do_glm(Document) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
do_histogram(double[], int) - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
do_histogram(String[], int) - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
do_lm() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
do_lm(Document) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
do_normalQQ(String[], int) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
do_normalQQ(double[], int) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
do_plotdata() - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
do_timeSeries(Document) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method defines what the analysis really does, and should be overridden by the specific analysis tools.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
This method defines the specific statistical Analysis to be carried out on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method defines what the analysis really does, and should be overridden by the specific analysis tools.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
This method defines the specific statistical Analysis to be carried our on the user specified data.
doAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
This method defines the specific statistical Analysis to be carried our on the user specified data.
DOCHART - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.demo.AreaChartDemo1
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo4
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_Time
 
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
create chart using data from the dataTable
doChart() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
create chart using data from the dataTable
doExperiment() - Method in class edu.uah.math.devices.Voters
This method performs the voter experiment.
doExperiment() - Method in class edu.uah.math.experiments.BallotExperiment
This method defines the experiment: the random walk is performed and the ballot event is determined.
doExperiment() - Method in class edu.uah.math.experiments.BertrandExperiment
This method performs the experiment: compute random distance or angle (depending on the model), compute the x and y coordinates of the chord.
doExperiment() - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method defines the experiment: the coins are tossed and then the estimate of p and the empirical distBias and empirical mean square error are computed.
doExperiment() - Method in class edu.uah.math.experiments.BetaEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method performs the experiment by simulating n Bernoulli trials, and computing the number and proportion of successes.
doExperiment() - Method in class edu.uah.math.experiments.BirthdayExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.BivariateNormalExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.BivariateUniformExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.BuffonCoinExperiment
This method defines the experiment: the coin center is randomly selected and then the tile crack is tested.
doExperiment() - Method in class edu.uah.math.experiments.BuffonNeedleExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.CardExperiment
This method defines the experimnet: a sample of cards is chosen from the deck.
doExperiment() - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
This event defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.ChuckALuckExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.CoinDieExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.CoinSampleExperiment
This method defines the experiment by tossing the coins.
doExperiment() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.CrapsExperiment
This method defines the experiment: the dice are rolled, and depending on the bet, and the outcome, the dice may be rolled again.
doExperiment() - Method in class edu.uah.math.experiments.DiceExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.DiceSampleExperiment
This method defines the experiment
doExperiment() - Method in class edu.uah.math.experiments.DieCoinExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.Experiment
This method defines what the experiment actually does, and should be overridden, when this class is subclassed, to define an actual random pocess.
doExperiment() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.FireExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method defines the experiment: n Bernoulli trials are performed and the the values of the random variable are computed.
doExperiment() - Method in class edu.uah.math.experiments.GammaEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.GammaExperiment
This method defines the experiment: k arrivals in the Poisson process are simulated.
doExperiment() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.MarkovChainExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.MatchExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.MeanEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.MeanTestExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.MontyHallExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.NormalEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.OrderStatisticExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.ParetoEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.PointExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.Poisson2DExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.PoissonExperiment
Thie method defines the experiment: the arrivals are generated and tested to see if they belong to the interval [0, t].
doExperiment() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.PokerExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.ProportionTestExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.RandomVariableExperiment
This method defines the experiment: a value from the selected random variable is simulated.
doExperiment() - Method in class edu.uah.math.experiments.RandomWalkExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method define the experiment.
doExperiment() - Method in class edu.uah.math.experiments.RouletteExperiment
This method defines the exeperiment.
doExperiment() - Method in class edu.uah.math.experiments.SampleMeanExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.SignTestExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.SpinnerExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.TriangleExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.Uniform_E_EstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.UniformEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.UrnExperiment
This method defines the experment.
doExperiment() - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.VarianceTestExperiment
This method defines the experiment.
doExperiment() - Method in class edu.uah.math.experiments.VoterExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.applications.Application
 
doExperiment() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
doExperiment() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
doExperiment() - Method in class edu.ucla.stat.SOCR.core.Experiment
This method defines what the experiment actually does, and should be overridden
doExperiment() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
This method defines what the experiment actually does, and should be overridden
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BallotExperiment
This method defines the experiment: the random walk is performed and the ballot event is determined.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BertrandExperiment
Perform the experiment: compute random distance or angle (depending on the model), compute the x and y coordinates of the chord
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BetaCoinExperiment
This method defines the experiment: the coins are tossed and then the estimate of p and the empirical bias and empirical mean square error are computed
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BetaEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BinomialCoinExperiment
 
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BinomialTimelineExperiment
 
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BirthdayExperiment
This method defines the birthday experiment
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BivariateNormalExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BivariateUniformExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BuffonCoinExperiment
This method defines the experiment: randomly select the coin center and check to see if the tile crack event has occurred.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.BuffonNeedleExperiment
This method defines the experiment
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.CardExperiment
This method defines the experimnet: a sample of cards is chosen from the deck
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.ChiSquareFitExperiment
 
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.ChuckALuckExperiment
 
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.CoinDieExperiment
 
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.CoinSampleExperiment
Define the experiment
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentSimple
 
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.CouponCollectorExperiment
Perform the experiment
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
Perform the experiment: roll the dice, and depending on the bet, determine whether to roll the dice a second time.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.DiceExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.DiceSampleExperiment
Perform the experiment
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.DieCoinExperiment
 
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.ExponentialExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.FiniteOrderStatisticExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.FireExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.GaltonBoardExperiment
This method defines the experiment: n Bernoulli trials are performed and the the values of the random variable are computed
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.GammaEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.GammaExperiment
This method defines the experiment: k arrivals in the Poisson process are simulated
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.GeneralBirthdayExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.MontyHallExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.NegativeBinomialExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.NormalEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.OrderStatisticExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.PointExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.Poisson2DExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.PoissonExperiment
Thie method defines the experiment: the arrivals are generated and tested to see if they belong to the interval [0, t]
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.PoissonSplitExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.PokerDiceExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.PokerExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.ProbabilityPlotExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.ProportionEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.RandomVariableExperiment
This method defines the experiment: a value from the selected random variable is simulated.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.RandomWalkExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
This method define the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
This method defines the exeperiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.SampleMeanExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.SignTestExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.SpinnerExperiment
This method does the experiment
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.TriangleExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.UniformEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.UrnExperiment
 
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.experiments.VoterExperiment
This method defines the experiment.
doExperiment() - Method in class edu.ucla.stat.SOCR.util.Voters
This method performs the voter experiment.
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
 
doGraph() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
 
dom - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
t statistic of a test.
dom - Variable in class edu.ucla.stat.SOCR.analyses.result.Result
t statistic of a test.
Domain - Class in edu.uah.math.distributions
This class defines a partition of an interval into subintervals of equal width.
Domain(double, double, double, int) - Constructor for class edu.uah.math.distributions.Domain
This general constructor creates a new partition of a specified interval [a, b] into subintervals of width w.
Domain() - Constructor for class edu.uah.math.distributions.Domain
This default constructor creates a new domain on (0, 1) with step size 0.1
domain - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
Domain - Class in edu.ucla.stat.SOCR.distributions
This class defines a partition of an interval into subintervals of equal width.
Domain(double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.Domain
This general constructor creates a new partition of a specified interval [a, b] into subintervals of width w
Domain(double, double, double, int) - Constructor for class edu.ucla.stat.SOCR.distributions.Domain
This general constructor creates a new partition of a specified interval [a, b] into subintervals of width w.
Domain(double) - Constructor for class edu.ucla.stat.SOCR.distributions.Domain
This special constructor creates a new partition of [0, b] into 10 equal subintervals
Domain() - Constructor for class edu.ucla.stat.SOCR.distributions.Domain
This default constructor creates a new partition of [0, 1] into 10 equal subintervals
domain - Variable in class edu.ucla.stat.SOCR.util.NormalCurve
 
domain - Variable in class edu.ucla.stat.SOCR.util.varHistogram
 
domainLabel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
DomParserUtility - Class in edu.ucla.stat.SOCR.analyses.xml
 
DomParserUtility() - Constructor for class edu.ucla.stat.SOCR.analyses.xml.DomParserUtility
 
DONTPASS - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
DONTPASS - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
Door - Class in edu.uah.math.devices
This class defines a door that can be opened or closed.
Door(int, int, Color, Color, Color) - Constructor for class edu.uah.math.devices.Door
This general constructor creates a new door with width and height, and specified colors.
Door(int, int) - Constructor for class edu.uah.math.devices.Door
This special constructor creates a new door with specified height and width and with default door color yellow, open color white, and label color red.
Door() - Constructor for class edu.uah.math.devices.Door
This default constructor creates a new door with default size 150 by 200 and with default door color yellow, open color white, and label color red.
Door - Class in edu.ucla.stat.SOCR.util
This class defines a door that can be opened or closed.
Door(Color, Color, Color) - Constructor for class edu.ucla.stat.SOCR.util.Door
This general constructor creates a new door with specified colors
Door() - Constructor for class edu.ucla.stat.SOCR.util.Door
This default constructor creates a new door with default colors: door color yellow, open color white, label color red
doRawDataNormalCurve() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
doRssError(int, double[][], double[]) - Method in class edu.ucla.stat.SOCR.analyses.model.AnovaTwoWay
 
doRssErrorInteraction(int, double[][], double[]) - Method in class edu.ucla.stat.SOCR.analyses.model.AnovaTwoWay
 
doSampleMeanNormalCurve() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
DotChart - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
DotChart() - Constructor for class edu.ucla.stat.SOCR.chart.demo.DotChart
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.AreaChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo2
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo3
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo1
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo2
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo3
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo4
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo5
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo7
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo8
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChartDemo9
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo1
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo3
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.BubbleChartDemo1
sample code showing how to create a bubble chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.CategoryStepChartDemo1
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.CompassDemo1
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo1
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo3
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.CrosshairDemo4
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.DifferenceChartDemo1
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.EventFrequencyDemo1
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo2
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo3
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo4
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo5
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo6
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.LayeredBarChartDemo1
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.LayeredBarChartDemo2
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1a
sample code showing how to create a chart using ChartGenerator_JTable class
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo2
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo3
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo5
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo6
sample code showing how to use ChartGeerator_JTable to create chart
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.NormalDistributionDemo
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo2
sample code showing how to use ChartGenerator_JTable to create chart
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo3
sample code showing how to creat chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo1
sample code showing how to use ChartGenerator_JTable to create chart
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo2
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo3
sample code showing how to use ChartGenerator_JTable to create chart
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChartDemo4
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.PolarChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.QQData2DataDemo
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.QQNormalPlotDemo
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.RingChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.ScatterChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.SpiderWebChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StackedAreaChartDemo
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo2
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo3
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo4
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StackedXYAreaChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StackedXYAreaChartDemo2
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo1a
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo2
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo3
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo1a
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo2
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo3
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.SymbolAxisDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.WaterfallChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo2
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo2
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.XYStepRendererDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.YIntervalChartDemo1
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.demo.YIntervalChartDemo1a
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperNormalDistributionChart
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
sample code for generating chart using ChartGenerator_JTable not done yet
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_Time
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
sample code for generating chart using ChartGenerator_JTable
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
doTest() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
DOTSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
doubleArrayToList(double[]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
doubleFactorials - Static variable in class edu.ucla.stat.SOCR.util.BesselArithmetic
 
doubleValue() - Method in class edu.ucla.stat.SOCR.util.Numeric
 
DOWN - Static variable in class edu.uah.math.devices.Forest
 
DOWN - Static variable in class edu.uah.math.distributions.TriangleDistribution
 
DOWN - Static variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Orientation of the triangle
DOWN - Static variable in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
 
DOWN - Static variable in class edu.ucla.stat.SOCR.util.Forest
 
doZTestNormalCurve() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
dPoisson - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
draw(Graphics2D, Rectangle2D) - Method in class edu.ucla.stat.SOCR.chart.gui.CircleDrawer
Draws the circle.
draw(Graphics2D, Rectangle2D, Point2D, PlotState, PlotRenderingInfo) - Method in class edu.ucla.stat.SOCR.chart.gui.HiddenPlot
 
drawAxis(Graphics, Domain, double, int) - Method in class edu.uah.math.devices.Graph
This method draws an axis corresponding to a sepcified domain at specified poisiton relative to the other variable, with a specified orientation.
drawAxis(Graphics, double, double, double, int, double, int) - Method in class edu.uah.math.devices.Graph
This method draws an axis corresponding to a sepcified domain at specified poisiton relative to the other variable, with a specified orientation.
drawAxis(Graphics, double, double, double, double, int) - Method in class edu.uah.math.devices.Graph
This method draws an axis corresponding to a specified continuous domain, at a specified position relative to the other variable, with a specified orientation.
drawAxis(Graphics, Domain, double, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method draws an axis corresponding to a partition of an interval at position c relative to the other variable.
drawAxis(Graphics, double, double, double, double, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method draws an axis corresponding to the partition of [a, b] into subintervals of width w, as in the previous method
drawAxis(Graphics, double, double, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method draws an axis corresponding to the partition of [a, b] into subintervals of width w, with tick marks at the partition bounds
drawAxis(Graphics, Domain, double, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method draws an axis corresponding to a partition of an interval at position c relative to the other variable.
drawAxis(Graphics, double, double, double, double, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method draws an axis corresponding to the partition of [a, b] into subintervals of width w, as in the previous method
drawAxis(Graphics, double, double, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method draws an axis corresponding to the partition of [a, b] into subintervals of width w, with tick marks at the partition bounds
drawAxis(Graphics, Domain, double, int, int) - Method in class edu.ucla.stat.SOCR.util.Graph
This method draws an axis corresponding to a partition of an interval at position c relative to the other variable.
drawAxis(Graphics, Domain, double, int, int, ArrayList) - Method in class edu.ucla.stat.SOCR.util.Graph
 
drawAxis(Graphics, double, double, double, double, int, int) - Method in class edu.ucla.stat.SOCR.util.Graph
This method draws an axis corresponding to the partition of [a, b] into subintervals of width w, as in the previous method
drawAxis(Graphics, double, double, double, double, int, int, ArrayList) - Method in class edu.ucla.stat.SOCR.util.Graph
 
drawAxis(Graphics, double, double, double, double, int) - Method in class edu.ucla.stat.SOCR.util.Graph
This method draws an axis corresponding to the partition of [a, b] into subintervals of width w, with tick marks at the partition bounds
drawAxis(Graphics, double, double, double, double, int, ArrayList) - Method in class edu.ucla.stat.SOCR.util.Graph
 
drawAxisWithDomain(Graphics, Domain, double, int, int, ArrayList) - Method in class edu.ucla.stat.SOCR.util.Graph
 
drawAxisWithDomain(Graphics, Domain, double, int, int, ArrayList) - Method in class edu.ucla.stat.SOCR.util.NormalCurve
 
drawBall(int, int) - Method in class edu.uah.math.devices.GaltonBoard
This method draws the ball at a specified peg.
drawBall(Color, int, int) - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method draws the ball in a specified color at a specified location
drawBall() - Method in class edu.ucla.stat.SOCR.util.RouletteWheel
 
drawBox(Graphics, double, double, double, double) - Method in class edu.uah.math.devices.Graph
This method draws a box between the specified corner points in scale units.
drawBox(Graphics, int, double, double, double, int, int) - Method in class edu.uah.math.devices.Graph
This method draws a box at a specified point with a specified length and width.
drawBox(Graphics, double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method draws a box between the specified corner points in scale units
drawBox(Graphics, int, double, double, double, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
Draw a box at the specified x and y coordinates (in scale units) Length l (in scale units) width: i pixels in the negative direction, j in the positive direction
drawBox(Graphics, double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method draws a box between the specified corner points in scale units
drawBox(Graphics, int, double, double, double, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
Draw a box at the specified x and y coordinates (in scale units) Length l (in scale units) width: i pixels in the negative direction, j in the positive direction
drawBox(Graphics, double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method draws a box between the specified corner points in scale units
drawBox(Graphics, int, double, double, double, int, int) - Method in class edu.ucla.stat.SOCR.util.Graph
Draw a box at the specified x and y coordinates (in scale units) Length l (in scale units) width: i pixels in the negative direction, j in the positive direction
drawBoxPlot(Graphics, double, double, int) - Method in class edu.uah.math.devices.Graph
The following method draws a symmetric, horizontal boxplot, centered at at a specified point with a specified radius (in scale units), at a specified vertical position in pixels.
drawBoxPlot(Graphics, double, double, double, double, double, int) - Method in class edu.uah.math.devices.Graph
The following method draws a five-number, horizontal boxplot.
drawBoxPlot(Graphics, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
The following method draws a symmetric, horizontal boxplot, centered at x of radius r (in scale units).
drawBoxPlot(Graphics, double, double, double, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
The following method draws a five-number, horizontal boxplot.
drawBoxPlot(Graphics, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
The following method draws a symmetric, horizontal boxplot, centered at x of radius r (in scale units).
drawBoxPlot(Graphics, double, double, double, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
The following method draws a five-number, horizontal boxplot.
drawBoxPlot(Graphics, double, double, int) - Method in class edu.ucla.stat.SOCR.util.Graph
The following method draws a symmetric, horizontal boxplot, centered at x of radius r (in scale units).
drawBoxPlot(Graphics, double, double, double, double, double, int) - Method in class edu.ucla.stat.SOCR.util.Graph
The following method draws a five-number, horizontal boxplot.
drawCDF(Graphics) - Method in class edu.uah.math.devices.DistributionGraph
This method draws the graph of the cumulative distribution function.
drawCircle(Graphics, double, double, double) - Method in class edu.uah.math.devices.Graph
This method draws a circle with a specified center and radius (in scale units).
drawCircle(Graphics, double, double, double) - Method in class edu.ucla.stat.SOCR.util.Graph
The following methods draw a circle with center (x, y) and radius r (in scale units)
drawCurrent() - Method in class edu.ucla.stat.SOCR.util.RedBlackGraph
This method draws the current fortune.
drawCurvedOval(XYSeries, double, double, double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
drawCurvedOval(Graphics, double, double, double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
drawData() - Method in class edu.ucla.stat.SOCR.util.DiceDistributionGraph
 
drawData - Variable in class edu.ucla.stat.SOCR.util.NormalCurve
 
drawDataMSD(Graphics) - Method in class edu.uah.math.devices.RandomVariableGraph
This method draws the mean-standard deviation bar for the data.
drawDataPDF(Graphics) - Method in class edu.uah.math.devices.RandomVariableGraph
This method draws the density function of the data.
drawDistributionMSD(Graphics) - Method in class edu.uah.math.devices.DistributionGraph
This method draws a horizontal boxplot showing the mean and standard deviation.
drawDistributionPDF(Graphics) - Method in class edu.uah.math.devices.DistributionGraph
This method draws the graph of the probability density function of the distribution.
drawItem(Graphics2D, CategoryItemRendererState, Rectangle2D, CategoryPlot, CategoryAxis, ValueAxis, CategoryDataset, int, int, int) - Method in class edu.ucla.stat.SOCR.chart.gui.ExtendedStackedBarRenderer
Draws a stacked bar for a specific item.
drawItem(Graphics2D, XYItemRendererState, Rectangle2D, PlotRenderingInfo, XYPlot, ValueAxis, ValueAxis, XYDataset, int, int, CrosshairState, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Draws the visual representation of a single data item.
drawLabel(Graphics, String, double, double, int) - Method in class edu.uah.math.devices.Graph
This method draws a sepcified label at a specified orientation next to a specified point.
drawLabel(Graphics, String, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method draws label s to the left, right, above, or below (x, y) (in scale units)
drawLabel(Graphics, String, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method draws label s to the left, right, above, or below (x, y) (in scale units)
drawLabel(Graphics, String, double, double, int) - Method in class edu.ucla.stat.SOCR.util.Graph
This method draws label s to the left, right, above, or below (x, y) (in scale units)
drawLine(Graphics, double, double, double, double) - Method in class edu.uah.math.devices.Graph
This method draws a line between (x1, y1) and (x2, y2), where the coordinates are in scale units.
drawLine(Graphics, double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method draws a line between (x1, y1) and (x2, y2), where the coordinates are in scale units
drawLine(Graphics, double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method draws a line between (x1, y1) and (x2, y2), where the coordinates are in scale units
drawLine(Graphics, double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method draws a line between (x1, y1) and (x2, y2), where the coordinates are in scale units
drawPoint(Graphics, double, double) - Method in class edu.uah.math.devices.Graph
This method draws a point at the specified x and y coordinates (in scale units).
drawPoint(Graphics, double, double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method draws a point at the specified x and y coordinates (in scale units)
drawPoint(double, double) - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method adds a specified data point to the data and draws the point in the scatterplot
drawPoint() - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method adds a random data point to the dataset and draws the point in the scatterplot
drawSampleLine(double, double) - Method in class edu.ucla.stat.SOCR.util.BivariateScatterPlot
 
drawSampleLines() - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method draws the sample lines
drawTick(Graphics, double, double, int, int, int) - Method in class edu.uah.math.devices.Graph
This method draws a tick mark at a specified point (in scale units), a specified number of pixels in the positive and negative directions, with a specified orientation.
drawTick(Graphics, double, double, int) - Method in class edu.uah.math.devices.Graph
This method draws a tick mark at a specified point, 3 pixels in the each direction, with a specified oreintation.
drawTick(Graphics, double, double, int, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method draws a tick mark at the specified x and y coordinates (in scale units), i pixels in the negative direction, j in the positive direction.
drawTick(Graphics, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method draws a tick mark at the specified x and y coordinates (in scale units), 3 pixels in the positive direction and 3 in the negative direction
drawTick(Graphics, double, double, int, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method draws a tick mark at the specified x and y coordinates (in scale units), i pixels in the negative direction, j in the positive direction.
drawTick(Graphics, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method draws a tick mark at the specified x and y coordinates (in scale units), 3 pixels in the positive direction and 3 in the negative direction
drawTick(Graphics, double, double, int, int, int) - Method in class edu.ucla.stat.SOCR.util.Graph
This method draws a tick mark at the specified x and y coordinates (in scale units), i pixels in the negative direction, j in the positive direction.
drawTick(Graphics, double, double, int) - Method in class edu.ucla.stat.SOCR.util.Graph
This method draws a tick mark at the specified x and y coordinates (in scale units), 3 pixels in the positive direction and 3 in the negative direction
drawUserClicks - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
dx - Variable in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
dy - Variable in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 

E

Edge - Class in edu.ucla.stat.SOCR.distributome.data
 
Edge() - Constructor for class edu.ucla.stat.SOCR.distributome.data.Edge
 
EDGE_TYPE - Static variable in class edu.ucla.stat.SOCR.distributome.data.HighLightedType
 
EdgeNormalColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
edges - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
EdgeTextColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
edgeType - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
edgeTypeColor - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
EdgeTypeHighlightColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
EditableHeader - Class in edu.ucla.stat.SOCR.util
 
EditableHeader(TableColumnModel) - Constructor for class edu.ucla.stat.SOCR.util.EditableHeader
 
EditableHeaderTable - Class in edu.ucla.stat.SOCR.util
Package: edu.ucla.stat.SOCR.util User: Khashim Date: Dec 23, 2008 Time: 12:52:18 PM
EditableHeaderTable() - Constructor for class edu.ucla.stat.SOCR.util.EditableHeaderTable
Constructs a default EditableHeaderTable that is initialized with a default data model, a default column model, and a default selection model.
EditableHeaderTable(TableModel) - Constructor for class edu.ucla.stat.SOCR.util.EditableHeaderTable
Constructs a EditableHeaderTable that is initialized with dm as the data model, a default column model, and a default selection model.
EditableHeaderTable(TableModel, TableColumnModel) - Constructor for class edu.ucla.stat.SOCR.util.EditableHeaderTable
Constructs a EditableHeaderTable that is initialized with dm as the data model, cm as the column model, and a default selection model.
EditableHeaderTable(TableModel, TableColumnModel, ListSelectionModel) - Constructor for class edu.ucla.stat.SOCR.util.EditableHeaderTable
Constructs a EditableHeaderTable that is initialized with dm as the data model, cm as the column model, and sm as the selection model.
EditableHeaderTable(int, int) - Constructor for class edu.ucla.stat.SOCR.util.EditableHeaderTable
Constructs a EditableHeaderTable with numRows and numColumns of empty cells using DefaultTableModel.
EditableHeaderTable(Vector, Vector) - Constructor for class edu.ucla.stat.SOCR.util.EditableHeaderTable
Constructs a EditableHeaderTable to display the values in the Vector of Vectors, rowData, with column names, columnNames.
EditableHeaderTable(Object[][], Object[]) - Constructor for class edu.ucla.stat.SOCR.util.EditableHeaderTable
Constructs a EditableHeaderTable to display the values in the two dimensional array, rowData, with column names, columnNames.
EditableHeaderTableColumn - Class in edu.ucla.stat.SOCR.util
 
EditableHeaderTableColumn() - Constructor for class edu.ucla.stat.SOCR.util.EditableHeaderTableColumn
 
EditableHeaderUI - Class in edu.ucla.stat.SOCR.util
 
EditableHeaderUI() - Constructor for class edu.ucla.stat.SOCR.util.EditableHeaderUI
 
EditableHeaderUI.MouseInputHandler - Class in edu.ucla.stat.SOCR.util
 
EditableHeaderUI.MouseInputHandler() - Constructor for class edu.ucla.stat.SOCR.util.EditableHeaderUI.MouseInputHandler
 
editCellAt(int) - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
editCellAt(int, EventObject) - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
editingCanceled(ChangeEvent) - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
editingColumn - Variable in class edu.ucla.stat.SOCR.util.EditableHeader
 
editingStopped(ChangeEvent) - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
EditorApplet - Class in edu.ucla.stat.SOCR.distributome
 
EditorApplet() - Constructor for class edu.ucla.stat.SOCR.distributome.EditorApplet
CONSTRUCTOR
editorComp - Variable in class edu.ucla.stat.SOCR.util.EditableHeader
 
edu.uah.math.devices - package edu.uah.math.devices
 
edu.uah.math.distributions - package edu.uah.math.distributions
 
edu.uah.math.experiments - package edu.uah.math.experiments
 
edu.uah.math.games - package edu.uah.math.games
 
edu.ucla.loni.LOVE - package edu.ucla.loni.LOVE
 
edu.ucla.loni.LOVE.colormap - package edu.ucla.loni.LOVE.colormap
 
edu.ucla.loni.LOVE.colormap.plugins - package edu.ucla.loni.LOVE.colormap.plugins
 
edu.ucla.stat.SOCR.analyses.command - package edu.ucla.stat.SOCR.analyses.command
 
edu.ucla.stat.SOCR.analyses.command.volume - package edu.ucla.stat.SOCR.analyses.command.volume
 
edu.ucla.stat.SOCR.analyses.data - package edu.ucla.stat.SOCR.analyses.data
 
edu.ucla.stat.SOCR.analyses.example - package edu.ucla.stat.SOCR.analyses.example
 
edu.ucla.stat.SOCR.analyses.exception - package edu.ucla.stat.SOCR.analyses.exception
 
edu.ucla.stat.SOCR.analyses.gui - package edu.ucla.stat.SOCR.analyses.gui
 
edu.ucla.stat.SOCR.analyses.jri.data - package edu.ucla.stat.SOCR.analyses.jri.data
 
edu.ucla.stat.SOCR.analyses.jri.gui - package edu.ucla.stat.SOCR.analyses.jri.gui
 
edu.ucla.stat.SOCR.analyses.jri.result - package edu.ucla.stat.SOCR.analyses.jri.result
 
edu.ucla.stat.SOCR.analyses.jri.xml - package edu.ucla.stat.SOCR.analyses.jri.xml
 
edu.ucla.stat.SOCR.analyses.model - package edu.ucla.stat.SOCR.analyses.model
 
edu.ucla.stat.SOCR.analyses.result - package edu.ucla.stat.SOCR.analyses.result
 
edu.ucla.stat.SOCR.analyses.ri - package edu.ucla.stat.SOCR.analyses.ri
 
edu.ucla.stat.SOCR.analyses.server - package edu.ucla.stat.SOCR.analyses.server
 
edu.ucla.stat.SOCR.analyses.util - package edu.ucla.stat.SOCR.analyses.util
 
edu.ucla.stat.SOCR.analyses.xml - package edu.ucla.stat.SOCR.analyses.xml
 
edu.ucla.stat.SOCR.applications - package edu.ucla.stat.SOCR.applications
 
edu.ucla.stat.SOCR.applications.demo - package edu.ucla.stat.SOCR.applications.demo
 
edu.ucla.stat.SOCR.chart - package edu.ucla.stat.SOCR.chart
 
edu.ucla.stat.SOCR.chart.data - package edu.ucla.stat.SOCR.chart.data
 
edu.ucla.stat.SOCR.chart.demo - package edu.ucla.stat.SOCR.chart.demo
 
edu.ucla.stat.SOCR.chart.gui - package edu.ucla.stat.SOCR.chart.gui
 
edu.ucla.stat.SOCR.chart.util - package edu.ucla.stat.SOCR.chart.util
 
edu.ucla.stat.SOCR.core - package edu.ucla.stat.SOCR.core
 
edu.ucla.stat.SOCR.distributions - package edu.ucla.stat.SOCR.distributions
 
edu.ucla.stat.SOCR.distributions.exception - package edu.ucla.stat.SOCR.distributions.exception
 
edu.ucla.stat.SOCR.distributome - package edu.ucla.stat.SOCR.distributome
 
edu.ucla.stat.SOCR.distributome.data - package edu.ucla.stat.SOCR.distributome.data
 
edu.ucla.stat.SOCR.distributome.editor - package edu.ucla.stat.SOCR.distributome.editor
 
edu.ucla.stat.SOCR.distributome.gui - package edu.ucla.stat.SOCR.distributome.gui
 
edu.ucla.stat.SOCR.distributome.xml - package edu.ucla.stat.SOCR.distributome.xml
 
edu.ucla.stat.SOCR.experiments - package edu.ucla.stat.SOCR.experiments
 
edu.ucla.stat.SOCR.experiments.util - package edu.ucla.stat.SOCR.experiments.util
 
edu.ucla.stat.SOCR.games - package edu.ucla.stat.SOCR.games
 
edu.ucla.stat.SOCR.games.wavelet - package edu.ucla.stat.SOCR.games.wavelet
 
edu.ucla.stat.SOCR.gui - package edu.ucla.stat.SOCR.gui
 
edu.ucla.stat.SOCR.JRI - package edu.ucla.stat.SOCR.JRI
 
edu.ucla.stat.SOCR.modeler - package edu.ucla.stat.SOCR.modeler
 
edu.ucla.stat.SOCR.motionchart - package edu.ucla.stat.SOCR.motionchart
 
edu.ucla.stat.SOCR.servlet.analyses - package edu.ucla.stat.SOCR.servlet.analyses
 
edu.ucla.stat.SOCR.servlet.util - package edu.ucla.stat.SOCR.servlet.util
 
edu.ucla.stat.SOCR.util - package edu.ucla.stat.SOCR.util
 
edu.ucla.stat.SOCR.util.tablemodels - package edu.ucla.stat.SOCR.util.tablemodels
 
edu.ucla.stat.SOCR.util.tablemodels.renderers - package edu.ucla.stat.SOCR.util.tablemodels.renderers
 
edu.ucla.stat.SOCR.util.tablemodels.wrappers - package edu.ucla.stat.SOCR.util.tablemodels.wrappers
 
effFPS - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
EIGHTEEN - Static variable in class edu.uah.math.experiments.RouletteExperiment
 
EIGHTEEN - Static variable in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
 
element - Variable in class edu.ucla.stat.SOCR.util.Matrix
 
ElementPanel - Class in edu.ucla.stat.SOCR.distributome.editor
Scrollable JPanel for the provenance elements.
ElementPanel(TreeTableCodec) - Constructor for class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
 
ElementPanel(ElementTableModel[]) - Constructor for class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
Constructs an Element Panel.
ElementTableModel - Class in edu.ucla.stat.SOCR.distributome.editor
Abstract Table Model for displaying the attributes of an provenance element.
ElementTableModel(String, String[]) - Constructor for class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Constructs an Element Table Model.
ELEVEN - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
ELEVEN - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
eliminationGaussJordan(Matrix) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
eliminationGaussJordan(Matrix) - Static method in class edu.ucla.stat.SOCR.util.Matrix
 
EM(double[]) - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
EM(double[]) - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
EM(double[]) - Method in class edu.ucla.stat.SOCR.util.Mixture
 
EM_Thread - Variable in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
EM_Thread - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
EMmain(double[]) - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
EMmain(double[]) - Method in class edu.ucla.stat.SOCR.util.Mixture
 
EMpar(Database, double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
EMpar(Database, double) - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
EMprob(double[], Database) - Method in class edu.ucla.stat.SOCR.chart.util.Module
 
emptyResultsTable() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
emptyTool() - Method in class edu.ucla.stat.SOCR.applications.Application
 
emptyTool2() - Method in class edu.ucla.stat.SOCR.applications.Application
 
EMswitch - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
encodeData(SourceTree, TreeModule) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Encodes data to the specified target.
encodeError(EncodingException) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Receives notification of an encoding error.
encrypt(String, Key) - Static method in class edu.ucla.stat.SOCR.servlet.util.CryptoUtil
 
Encryptor - Class in edu.ucla.stat.SOCR.analyses.jri.gui
 
Encryptor() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.gui.Encryptor
 
Encryptor - Class in edu.ucla.stat.SOCR.analyses.ri
 
Encryptor() - Constructor for class edu.ucla.stat.SOCR.analyses.ri.Encryptor
 
end - Variable in class edu.ucla.stat.SOCR.analyses.gui.ScatterPlotRange
 
end() - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
endElement(String, String, String) - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
EnhancedDefaultTableModel - Class in edu.ucla.stat.SOCR.util
Package: edu.ucla.stat.SOCR.util User: Khashim Date: Dec 29, 2008 Time: 2:08:00 PM
EnhancedDefaultTableModel() - Constructor for class edu.ucla.stat.SOCR.util.EnhancedDefaultTableModel
Constructs a default EnhancedDefaultTableModel which is a table of zero columns and zero rows.
EnhancedDefaultTableModel(Object[], int) - Constructor for class edu.ucla.stat.SOCR.util.EnhancedDefaultTableModel
Constructs an EnhancedDefaultTableModel with as many columns as there are elements in columnNames and rowCount of null object values.
EnhancedDefaultTableModel(Vector, int) - Constructor for class edu.ucla.stat.SOCR.util.EnhancedDefaultTableModel
Constructs an EnhancedDefaultTableModel with as many columns as there are elements in columnNames and rowCount of null object values.
EnhancedDefaultTableModel(Object[][], Object[]) - Constructor for class edu.ucla.stat.SOCR.util.EnhancedDefaultTableModel
Constructs an EnhancedDefaultTableModel and initializes the table by passing data and columnNames to the setDataVector method.
EnhancedDefaultTableModel(Vector, Vector) - Constructor for class edu.ucla.stat.SOCR.util.EnhancedDefaultTableModel
Constructs an EnhancedDefaultTableModel and initializes the table by passing data and columnNames to the setDataVector method.
EnhancedDefaultTableModel(int, int) - Constructor for class edu.ucla.stat.SOCR.util.EnhancedDefaultTableModel
Constructs an EnhancedDefaultTableModel with rowCount and columnCount of null object values.
EnhancedExcelAdapter - Class in edu.ucla.stat.SOCR.util
Package: edu.ucla.stat.SOCR.util User: Khashim Date: Dec 23, 2008 Time: 9:13:42 PM
EnhancedExcelAdapter(JTable) - Constructor for class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
The Excel Adapter is constructed with a JTable on which it enables Copy-Paste and acts as a Clipboard listener.
enhanceSmallNumber(double) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
ENVSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
equals(Object) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Tests this chart for equality with another object.
equals(Object) - Method in class edu.ucla.stat.SOCR.motionchart.MotionKey
 
equals(Object) - Method in class edu.ucla.stat.SOCR.motionchart.MotionToolTipGenerator
Tests this object for equality with an arbitrary object.
erlangDistr - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
ErlangDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implmentation of the Erlang distribution with specified Scale (scale) and shape (shape) parameters http://mathworld.wolfram.com/ErlangDistribution.html .
ErlangDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Default constructor: creates an Erlang distribution with scale and shape parameters equal to 1
ErlangDistribution(double, int) - Constructor for class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Constructor: creates an Erlang distribution with scale (a) and shape (b) parameters.
ErlangDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Constructor: creates an Erlang distribution from a sample data series and estimates the scale (a) and shape (b) parameters.
ErlangDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Constructor: creates an Erlang distribution from a sample data series and estimates the scale (a) and shape (b) parameters.
ErlangFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Erlang Fit model fitting curve.
ErlangFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
ErlangFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
ErlangFit_Modeler Constructor.
error(SAXParseException) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Receives notification of a recoverable parser error.
error(SAXParseException) - Method in class edu.ucla.stat.SOCR.distributome.editor.XmlValidator
Receives notification of a recoverable parser error.
error(double) - Method in class edu.ucla.stat.SOCR.util.ErrorGraph
This method computes the error function.
error_bound_x - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
ERROR_MESSAGE - Static variable in exception edu.ucla.stat.SOCR.analyses.exception.WrongAnalysisException
 
ERROR_MESSAGE - Static variable in exception edu.ucla.stat.SOCR.analyses.exception.WrongDataTypeException
 
ErrorDistr - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
ErrorDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implementation of the Error distribution with specified Location, Scale and Shape parameters http://en.wikipedia.org/wiki/Exponential_power_distribution.
ErrorDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Default constructor: creates an Error distribution with location, scale and shape parameters equal to 1.
ErrorDistribution(double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.ErrorDistribution
General constructor: creates an Error distribution with location(a), scale(b) and shape(c) parameters.
ErrorDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Constructor: Creates a new Error distribution from a series of observations by parameter estimation.
ErrorDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Constructor: Creates a new Error distribution from a series of observations by parameter estimation.
ErrorFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Error Fit model fitting curve.
ErrorFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
ErrorFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
ErrorFit_Modeler Constructor.
errorFunction(double) - Static method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
Compute the Gauss Error Function http://en.wikipedia.org/wiki/Error_function.
ErrorGame - Class in edu.uah.math.games
This class is an applet for exploring the measures of center and dispersion in terms of error functions.
ErrorGame() - Constructor for class edu.uah.math.games.ErrorGame
 
ErrorGame - Class in edu.ucla.stat.SOCR.games
This class is an applet for exploring the measures of center and dispersion in terms of error functions.
ErrorGame() - Constructor for class edu.ucla.stat.SOCR.games.ErrorGame
 
ErrorGraph - Class in edu.uah.math.devices
This class defines a special graph used in conjunction with an interactive histogram.
ErrorGraph(IntervalData, int) - Constructor for class edu.uah.math.devices.ErrorGraph
This general constructor creates a new error graph of a specified type and with a specified data set.
ErrorGraph() - Constructor for class edu.uah.math.devices.ErrorGraph
This default constructor creates a new mean square error graph on the defalt domain (0, 1) (with step size 0.1);
ErrorGraph - Class in edu.ucla.stat.SOCR.util
This class defines a special graph used in conjunction with an interactive histogram.
ErrorGraph(IntervalData, int) - Constructor for class edu.ucla.stat.SOCR.util.ErrorGraph
This general constructor creates a new error graph of a specified type and with a specified data set.
ErrorMatrix(ContingencyTable, ContingencyTable) - Method in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
ErrorResult - Class in edu.ucla.stat.SOCR.analyses.result
 
ErrorResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.ErrorResult
 
EstimateExperiment - Class in edu.uah.math.experiments
This class defines a basic experiment to illustrate point estimates of a parameter.
EstimateExperiment() - Constructor for class edu.uah.math.experiments.EstimateExperiment
 
EstimateExperiment - Class in edu.ucla.stat.SOCR.experiments
This class defines a basic experiment to illustrate point estimates of a parameter.
EstimateExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.EstimateExperiment
 
EstimateExperiment(RandomVariable) - Constructor for class edu.ucla.stat.SOCR.experiments.EstimateExperiment
This method initializes the experiment, including the toolbar with the sample size scroll and label, the random variable graph and table, and the statistics table.
EstimateGraph - Class in edu.uah.math.devices
This class models a basic graph for showing the true and estimated values of a positive parameter.
EstimateGraph(double) - Constructor for class edu.uah.math.devices.EstimateGraph
This general constructor creates a new estimate graph with a specified parameter value, and domain
EstimateGraph() - Constructor for class edu.uah.math.devices.EstimateGraph
This default constructor creates a new estimate graph with parameter value 1 and default domain.
EstimateGraph - Class in edu.ucla.stat.SOCR.util
This class models a basic graph for showing the true and estimated values of a positive parameter
EstimateGraph(double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.EstimateGraph
Constructs a new estimate graph with a specified parameter value, upper bound, and step size.
EstimateGraph(double, double) - Constructor for class edu.ucla.stat.SOCR.util.EstimateGraph
This method constructs a new estimate graph with a specified parameter value and upper value.
EstimateGraph(double) - Constructor for class edu.ucla.stat.SOCR.util.EstimateGraph
This method constructs a new estiamte graph with a specified parameter value p and default upper bound of 1.5 * p.
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
estimateParams - Variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
estimatePercent(float[], float) - Method in class edu.ucla.stat.SOCR.util.topPercent
 
EULER - Static variable in class edu.uah.math.distributions.Functions
 
EULER_MASCHERONI_CONSTANT - Variable in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
 
EulerConstant - Static variable in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
 
eval(String) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
evaluate() - Method in class edu.uah.math.experiments.RouletteExperiment
This method evaluates win random variable.
evaluate(double) - Method in interface edu.ucla.stat.SOCR.util.MathFunction
Returns the value of the function evaluated at x.
evaluateHand() - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method evaluates the hand: 0 mothing, 1 one pair, 2 two pair, 3 three of a kind, 4 full house, 5 four of a kind, 6 five of a kind.
evaluateHand() - Method in class edu.uah.math.experiments.PokerExperiment
This method evalutes the type of hand: 0 no value, 1 one pair, 2 two pair, 3 three of a kind, 4 straight, 5 flush, 6 full house, 7 four of a kind, or 8 straight flush.
evaluateHand() - Method in class edu.ucla.stat.SOCR.experiments.PokerDiceExperiment
Evaluate the hand
evaluateHand() - Method in class edu.ucla.stat.SOCR.experiments.PokerExperiment
This method evalutes the type of hand: no value, one pair, two pair, three of a kind, straight, flush, full house, four of a kind, or straight flush.
EventFrequencyDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A demo application showing how to display category data against a date axis.
EventFrequencyDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.EventFrequencyDemo1
 
eventListener - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
ex_pickedEdgeIndex - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
ex_pickedNodeIndex - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
exactProb(int, int, double) - Static method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentWilcoxon
 
exactPValue(int, int, double) - Static method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentWilcoxon
 
examList() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.AnovaOneWayExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.ChiSquareContingencyTableExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.ChiSquareModelFitExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.CIExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.DichotomousProportionExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.ExampleDataOnServer
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.ExampleDataRandom
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.FlignerKilleenExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.KolmogorovSmirnoffExamples
 
example - Static variable in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionBostonExample
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.OneTExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.SimpleLinearRegressionExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.SurvivalExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentFriedmanExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentKruskalWalliesExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentTExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentWilcoxonExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignedRankExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignTestExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
 
example - Variable in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
 
example - Variable in class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
example - Variable in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
 
example - Variable in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
 
example - Variable in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
EXAMPLE - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
example - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
 
example - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
 
EXAMPLE - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
example - Variable in class edu.ucla.stat.SOCR.chart.ChartExampleData
 
example - Variable in class edu.ucla.stat.SOCR.util.ANOVAExampleData
 
Example1Action - Variable in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
 
Example2Action - Variable in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
 
Example3Action - Variable in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
 
Example4Action - Variable in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
 
EXAMPLE_1 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
EXAMPLE_2 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
EXAMPLE_3 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
EXAMPLE_4 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
EXAMPLE_5 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
EXAMPLE_6 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
EXAMPLE_7 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
ExampleData - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
ExampleData() - Constructor for class edu.ucla.stat.SOCR.analyses.example.ExampleData
Constructor method for simple data generation for regression/correlation tests
ExampleData(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.ExampleData
Constructor method for sampel data for ANOVA analysis.
ExampleDataOnServer - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
ExampleDataOnServer() - Constructor for class edu.ucla.stat.SOCR.analyses.example.ExampleDataOnServer
Constructor method for simple data generation for regression/correlation tests
ExampleDataRandom - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
ExampleDataRandom(int, int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.ExampleDataRandom
Constructor method for sampel data for ANOVA analysis.
ExampleFileFilter - Class in edu.ucla.stat.SOCR.distributome.editor
 
ExampleFileFilter() - Constructor for class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
 
ExampleFileFilter(String) - Constructor for class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Creates a file filter that accepts files with the given extension.
ExampleFileFilter(String, String) - Constructor for class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Creates a file filter that accepts the given file type.
ExampleFileFilter(String[]) - Constructor for class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Creates a file filter from the given string array.
ExampleFileFilter(String[], String) - Constructor for class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Creates a file filter from the given string array and description.
exampleID - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleInputAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleInputAction - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
exampleLocalAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleLocalAction - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
exampleRandomAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleRandomAction - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
exampleRandomAction - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
exampleRemoteAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleRemoteAction - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
exampleSampleSize - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleSampleSize - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
exampleStaticAction - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
**************
exampleStaticAction - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
exampleStaticAction1 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
**************
exampleStaticAction2 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleStaticAction3 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleStaticAction4 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleStaticAction5 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleStaticAction6 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
exampleStaticAction7 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
ExcelAdapter - Class in edu.ucla.stat.SOCR.util
ExcelAdapter enables Copy-Paste Clipboard functionality on JTables.
ExcelAdapter(JTable) - Constructor for class edu.ucla.stat.SOCR.util.ExcelAdapter
The Excel Adapter is constructed with a JTable on which it enables Copy-Paste and acts as a Clipboard listener.
exclude(int, TableModel) - Method in interface edu.ucla.stat.SOCR.util.tablemodels.RowFilter
Filters table rows.
exp(double[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
exp(double[]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
EXPECTED_DATA - Static variable in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
EXPECTED_DATA - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
ExpectedReturn - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
Experiment - Class in edu.uah.math.experiments
This class defines a basic, discrete time stochastic process that can be subclassed.
Experiment() - Constructor for class edu.uah.math.experiments.Experiment
 
Experiment - Class in edu.ucla.stat.SOCR.core
This class defines a basic, discrete time stochastic process that can be subclassed
Experiment() - Constructor for class edu.ucla.stat.SOCR.core.Experiment
This method initializes the experiment, by setting up the basic simulation buttons (step, run, stop, reset), and the update and stop choices on the main toolbar.
ExponentialDistribution - Class in edu.uah.math.distributions
This class defines the standard exponential distribution with a specified rate parameter.
ExponentialDistribution(double) - Constructor for class edu.uah.math.distributions.ExponentialDistribution
This general constructor creates a new exponential distribution with a specified rate.
ExponentialDistribution() - Constructor for class edu.uah.math.distributions.ExponentialDistribution
This default constructor creates a new exponential distribution with rate 1.
ExponentialDistribution - Class in edu.ucla.stat.SOCR.distributions
This class defines the (general) Exponential distribution with rate parameter r and shift parameter s.
ExponentialDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
 
ExponentialDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
 
ExponentialDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This general constructor creates a new exponential distribution with a specified rate
ExponentialDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This general constructor creates a new exponential distribution with a specified rate and shift parameters
ExponentialDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This default constructor creates a new exponential distribution with rate 1 and shift 0.
ExponentialExperiment - Class in edu.ucla.stat.SOCR.experiments
This experiment models the exponential distribution in terms of the inter- arrival times of a Poisson process
ExponentialExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.ExponentialExperiment
This method initializes the experiment by setting up the toolbar, graphs, and tables
ExponentialFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a simple polynomial model fitting curve.
ExponentialFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
ExponentialFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
ExponentialTimesCarExperiment - Class in edu.uah.math.experiments
This class models the Times between Cars driving on a highway.
ExponentialTimesCarExperiment() - Constructor for class edu.uah.math.experiments.ExponentialTimesCarExperiment
 
EXPRSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
ExtendedStackedBarRenderer - Class in edu.ucla.stat.SOCR.chart.gui
An extension of the StackedBarRenderer that can draw positive and negative totals at the top and bottom of the stacked bars.
ExtendedStackedBarRenderer() - Constructor for class edu.ucla.stat.SOCR.chart.gui.ExtendedStackedBarRenderer
Creates a new renderer.
EXTPTRSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
ExtremeValueDistribution - Class in edu.uah.math.distributions
This class models the exponential-type extreme value distribution.
ExtremeValueDistribution(int) - Constructor for class edu.uah.math.distributions.ExtremeValueDistribution
This general constructor creates a new ExtremeValueDistribution of a specified type.
ExtremeValueDistribution() - Constructor for class edu.uah.math.distributions.ExtremeValueDistribution
This default constructor creates a new ExtremeValueDistribution of type MAXIMUM.

F

F_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
F_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
F_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
F_VALUE_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
F_VALUE_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
F_VALUE_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
FACTOR - Static variable in class edu.ucla.stat.SOCR.analyses.data.DataType
 
factor - Class in edu.ucla.stat.SOCR.util
 
factor() - Constructor for class edu.ucla.stat.SOCR.util.factor
 
factor(double[]) - Constructor for class edu.ucla.stat.SOCR.util.factor
 
factorA - Variable in class edu.ucla.stat.SOCR.util.Anova
 
factorB - Variable in class edu.ucla.stat.SOCR.util.Anova
 
factorC - Variable in class edu.ucla.stat.SOCR.util.Anova
 
factorial(int) - Static method in class edu.uah.math.distributions.Functions
This method computes the factorial function, the number of permutations of a specified number of objects.
factorial(int) - Static method in class edu.ucla.stat.SOCR.core.Distribution
This method computes k!, the number of permutations of k objects.
factorial(int) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method computes the factorial function, the number of permutations of a specified number of objects.
factorial(int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
factorial(int) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Instantly returns the factorial k!.
factorialBigInt(int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
FAIR - Static variable in class edu.uah.math.devices.DiceBoard
 
FAIR - Static variable in class edu.uah.math.devices.Die
 
FAIR - Static variable in class edu.uah.math.distributions.DieDistribution
 
FAIR - Static variable in class edu.ucla.stat.SOCR.distributions.DieDistribution
 
FAIR - Static variable in class edu.ucla.stat.SOCR.util.DiceBoard
 
FAIR - Static variable in class edu.ucla.stat.SOCR.util.Die
 
FastCDF2_4 - Class in edu.ucla.stat.SOCR.games.wavelet
Cohen-Daubechies-Feauveau with N=2 and Ntilde=4 adapted to the interval by Deslauriers-Dubuc-Lemire
FastCDF2_4() - Constructor for class edu.ucla.stat.SOCR.games.wavelet.FastCDF2_4
 
FastDaubechies2 - Class in edu.ucla.stat.SOCR.games.wavelet
This is a very fast implementation of the Fast Wavelet Transform.
FastDaubechies2() - Constructor for class edu.ucla.stat.SOCR.games.wavelet.FastDaubechies2
 
FastHaar - Class in edu.ucla.stat.SOCR.games.wavelet
 
FastHaar() - Constructor for class edu.ucla.stat.SOCR.games.wavelet.FastHaar
 
FastSymmlet8 - Class in edu.ucla.stat.SOCR.games.wavelet
This is a very fast implementation of the Fast Wavelet Transform.
FastSymmlet8() - Constructor for class edu.ucla.stat.SOCR.games.wavelet.FastSymmlet8
 
fatalError(SAXParseException) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Receives notification of a non-recoverable parser error.
fatalError(SAXParseException) - Method in class edu.ucla.stat.SOCR.distributome.editor.XmlValidator
Receives notification of a non-recoverable parser error.
fControlPanel - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
fControlPanel - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet2
Controlpane has two component, north and valueSetterPane
fControlPanel - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
fControlPaneScrollBar - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
fDialog - Variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
fDialog - Variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
fDialog - Variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
fDialog - Variable in class edu.ucla.stat.SOCR.core.SOCRModeler
 
FDR - Class in edu.ucla.stat.SOCR.analyses.command.volume
 
FDR(double[], double) - Constructor for class edu.ucla.stat.SOCR.analyses.command.volume.FDR
Create a new FDR object.
FIELD - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
FIELD - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
FILE - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
file - Variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
FILE - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
file - Variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
FILE - Static variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
file - Variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
file - Variable in class edu.ucla.stat.SOCR.core.SOCRModeler
 
FileHelper - Class in edu.ucla.stat.SOCR.util
 
FileHelper() - Constructor for class edu.ucla.stat.SOCR.util.FileHelper
 
Fileip - Variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
Fileip - Variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
Fileip - Variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
Fileip - Variable in class edu.ucla.stat.SOCR.core.SOCRModeler
 
fileLoadAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
fileLoadAction - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
fileLoadAction - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
FileLocate - Variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
FileLocate - Variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
FileLocate - Variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
FileLocate - Variable in class edu.ucla.stat.SOCR.core.SOCRModeler
 
FileParser - Class in edu.ucla.stat.SOCR.distributome.editor
Class that parses a file and extracts provenance data.
FileParser(File) - Constructor for class edu.ucla.stat.SOCR.distributome.editor.FileParser
Constructs a File Parser.
fillBox(Graphics, double, double, double, double) - Method in class edu.uah.math.devices.Graph
This method fills a box between the specified corner points in scale units.
fillBox(Graphics, int, double, double, double, int, int) - Method in class edu.uah.math.devices.Graph
This method fills a box at a specified point with a specified length and width.
fillBox(Graphics, double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method fills a box between the specified corner points in scale units
fillBox(Graphics, int, double, double, double, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
fillBox(Graphics, double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method fills a box between the specified corner points in scale units
fillBox(Graphics, int, double, double, double, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
fillBox(Graphics, double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method fills a box between the specified corner points in scale units
fillBox(Graphics, int, double, double, double, int, int) - Method in class edu.ucla.stat.SOCR.util.Graph
 
fillBoxPlot(Graphics, double, double, int) - Method in class edu.uah.math.devices.Graph
The following method fills a symmetric, horizontal boxplot, centered at a specified point, with a specified radius r (in scale units), at a specified vertical poisiton in pixels.
fillBoxPlot(Graphics, double, double, double, double, double, int) - Method in class edu.uah.math.devices.Graph
The following method fills a five-number, horizontal boxplot.
fillBoxPlot(Graphics, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
The following method fills a symmetric, horizontal boxplot, centered at x of radius r (in scale units).
fillBoxPlot(Graphics, double, double, double, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
The following method fills a five-number, horizontal boxplot.
fillBoxPlot(Graphics, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
The following method fills a symmetric, horizontal boxplot, centered at x of radius r (in scale units).
fillBoxPlot(Graphics, double, double, double, double, double, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
The following method fills a five-number, horizontal boxplot.
fillBoxPlot(Graphics, double, double, int) - Method in class edu.ucla.stat.SOCR.util.Graph
The following method fills a symmetric, horizontal boxplot, centered at x of radius r (in scale units).
fillBoxPlot(Graphics, double, double, double, double, double, int) - Method in class edu.ucla.stat.SOCR.util.Graph
The following method fills a five-number, horizontal boxplot.
fillCircle(Graphics, double, double, double) - Method in class edu.uah.math.devices.Graph
This method fills a circle with a specified center and radius (in scale units).
fillCircle(Graphics, double, double, double) - Method in class edu.ucla.stat.SOCR.util.Graph
The following methods fill a circle with center (x, y) and radius r (in scale units)
fillMatrix(double[][]) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
fillVectors() - Method in class edu.ucla.stat.SOCR.util.PluginLoader
 
filter() - Method in class edu.ucla.stat.SOCR.util.tablemodels.FilteredTableModel
Forces filtering of data contained in TableModelMapping.model.
FilteredTableModel - Class in edu.ucla.stat.SOCR.util.tablemodels
An AbstractTableModel implementation with filtering support.
FilteredTableModel(TableModel) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.FilteredTableModel
Creates FilteredTableModel object with specified TableModel as the data source.
findByName(JTree, String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplications
 
findByName(JTree, String, boolean) - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
findByNamePath(JTree, String[]) - Method in class edu.ucla.stat.SOCR.core.SOCRApplications
 
findByNamePath(JTree, String[]) - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
findDStatistic(double[], double[], double[], double[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.KolmogorovSmirnoff
 
findGFRoot(int, double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method approximates the value of X for which P(x<X)=prob.
findKolmogorovProb(double) - Static method in class edu.ucla.stat.SOCR.analyses.model.KolmogorovSmirnoff
 
findKolmogorovProb(double) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
findMaxInput(float[]) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
findMemberById(int) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
findMemberByName(String) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
MEMBER HANDLING METHODS*************************************
findMinInput(float[]) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
findNodeCellId(int) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
findNodeIndex(int) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
findPearsonChiSquare() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
findRefById(int) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
findRefByIndex(int) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
findRoot(double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method approximates the value of X for which P(x<X)=prob.
FiniteDistribution - Class in edu.uah.math.distributions
This class models a basic discrete distribution on a finite set of points, with specified probabilities.
FiniteDistribution(double, double, double, double[]) - Constructor for class edu.uah.math.distributions.FiniteDistribution
This general constructor creates a new finite distribution on a finite set of points with a specified array of probabilities.
FiniteDistribution(double, double, double) - Constructor for class edu.uah.math.distributions.FiniteDistribution
This special constructor creates the uniform distribuiton on the finite set of points.
FiniteDistribution() - Constructor for class edu.uah.math.distributions.FiniteDistribution
This special constructor creates a new uniform distribution on {1, 2..., 6}.
FiniteDistribution - Class in edu.ucla.stat.SOCR.distributions
A basic discrete distribution on a finite set of points, with specified probabilities
FiniteDistribution(double, double, double, double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.FiniteDistribution
Constructs a new finite distribution on a finite set of points with a specified array of probabilities
FiniteDistribution(double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.FiniteDistribution
Constructs the uniform distribuiton on the finite set of points
FiniteDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.FiniteDistribution
This special constructor creates a new uniform distribution on {1, 2, ..., 10}.
FiniteOrderStatisticDistribution - Class in edu.uah.math.distributions
This class models the distribution of an order statistic for a sample chosen without replacement from {1, 2..., N} .
FiniteOrderStatisticDistribution(int, int, int) - Constructor for class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This general constructor creates a new finite order statistic distribution with specified population and sample sizes, and specified order.
FiniteOrderStatisticDistribution() - Constructor for class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This default constructor creates a new finite order statistic distribution with population size 50, sample size 10, and order 5.
FiniteOrderStatisticDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the distribution of the k'th order statistic for a sample of size n chosen without replacement from {1, 2, ..., N} .
FiniteOrderStatisticDistribution(int, int, int) - Constructor for class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This general constructor creates a new finite order statistic distribution with specified population and sample sizes, and specified order.
FiniteOrderStatisticDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This default constructor creates a new finite order statistic distribution with population size 50, sample size 10, and order 5.
FiniteOrderStatisticExperiment - Class in edu.uah.math.experiments
This class models the experiment of selecting a sample of a specified size (without replacement) from from the population 1, 2, ..., m.
FiniteOrderStatisticExperiment() - Constructor for class edu.uah.math.experiments.FiniteOrderStatisticExperiment
 
FiniteOrderStatisticExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the experiment of selecting a sample of a specified size (without replacement) from from the population 1, 2, ..., N.
FiniteOrderStatisticExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.FiniteOrderStatisticExperiment
This method initializes the experiment, including the ball panel, the random variable table and graph, the toolbar with the scrollbars and labels, and the record table.
fireChartChanged() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Sends a default ChartChangeEvent to all registered listeners.
FireExperiment - Class in edu.uah.math.experiments
This class models the fire experiment.
FireExperiment() - Constructor for class edu.uah.math.experiments.FireExperiment
 
FireExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the fire experiment.
FireExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.FireExperiment
This method initializes the experiment, including the toolbars, scrollbars, labels, forest.
firePropertyChange(String, Object, Object) - Method in interface edu.ucla.loni.LOVE.BoundedModel
Fire a PropertyChangeEvent .
firePropertyChange(PropertyChangeEvent) - Method in interface edu.ucla.loni.LOVE.BoundedModel
Fire a PropertyChangeEvent .
firePropertyChange(String, Object, Object) - Method in class edu.ucla.loni.LOVE.BoundedModelImpl
Fire a PropertyChangeEvent .
firePropertyChange(PropertyChangeEvent) - Method in class edu.ucla.loni.LOVE.BoundedModelImpl
Fire a PropertyChangeEvent .
fireStateChanged() - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
Send a ChangeEvent, whose source is this PlayerControl, to each listener.
fireTableChanged(TableModelEvent) - Method in class edu.ucla.stat.SOCR.util.EnhancedDefaultTableModel
Forwards the given notification event to all TableModelListeners that registered themselves as listeners for this table model.
fireTableDataChanged() - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
Notifies all listeners that all cell values in the table's rows may have changed.
FIRST_BUTTON_LABEL - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
FIRST_QUARTILE_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
FIRST_QUARTILE_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
firstSampleSizeJComboBox - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
firstSamplingDistJComboBox - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
firstToolbar - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
firstToolbar - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
FISHER_EXACT - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
FisherDistribution - Class in edu.uah.math.distributions
This class models the Fisher F distribution with a spcified number of degrees of freedom in the numerator and denominator.
FisherDistribution(int, int) - Constructor for class edu.uah.math.distributions.FisherDistribution
This general constructor creates a new Fisher distribution with a specified number of degrees of freedom in the numerator and denominator.
FisherDistribution() - Constructor for class edu.uah.math.distributions.FisherDistribution
This default constructor creates a new Fisher distribution with 5 degrees of freedom in numerator and denominator.
FisherDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Fisher F distribution with a spcified number of degrees of freedom in the numerator and denominator.
FisherDistribution(int, int) - Constructor for class edu.ucla.stat.SOCR.distributions.FisherDistribution
This general constructor creates a new Fisher distribution with a specified number of degrees of freedom in the numerator and denominator
FisherDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.FisherDistribution
This default constructor creates a new Fisher distribution with 5 degrees of freedom in numerator and denominator
FisherExact - Class in edu.ucla.stat.SOCR.analyses.gui
 
FisherExact() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
FisherExact - Class in edu.ucla.stat.SOCR.analyses.model
 
FisherExact() - Constructor for class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
FisherExactCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
FisherExactCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.FisherExactCSV
 
FisherExactResult - Class in edu.ucla.stat.SOCR.analyses.result
 
FisherExactResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
Constructors
FisherExactResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
FisherTippettDistr - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
FisherTippettDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implmentation of the FisherTippettdistribution with specified alpha & beta parameters http://mathworld.wolfram.com/FisherTippettDistribution.html .
FisherTippettDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
General Constructor: creates a FisherTippettdistribution with specified alpha & beta parameters
FisherTippettDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Default constructor: creates a FisherTippettdistribution with alpha & beta parameters equal to 0 & 1
FisherTippettDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Constructor: Creates a new Fisher-Tippett distribution from a series of observations by parameter estimation.
FisherTippettDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Constructor: Creates a new Fisher-Tippett distribution from a series of observations by parameter estimation.
FisherTippettFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a FisherTippett Fit model fitting curve.
FisherTippettFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
FisherTippettFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
FisherTippettFit_Modeler Constructor.
fit1 - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
fit2 - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
fitC(boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
fitC(boolean) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
fitC() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.core.Modeler
takes data along with x, y limits and fits a pdf to the data range and stores the resulting model fit in data arrays that must be returned by calls to returnModelX() and returnModelY()
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
fitCurve(float[], float, float, double, double, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
fitCurve for ChiSquare Model
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
fitCurve(float[], float, float, double, double, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
fitCurve for Erlang Model
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
fitCurve(float[], float, float, double, double, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
fitCurve(float[], float, float, double, double, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
fitCurve(float[], double, double, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
fitCurve(float[], float, float, JTextArea, boolean, boolean, boolean) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
fixed - Variable in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
fixedKernel(double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
FK_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
FK_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
FK_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
FK_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
FK_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
FK_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
FK_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
FK_8 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
FLAG - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Flag colormap
FLAT16 - Static variable in class edu.uah.math.devices.DiceBoard
 
FLAT16 - Static variable in class edu.uah.math.devices.Die
 
FLAT16 - Static variable in class edu.uah.math.distributions.DieDistribution
 
FLAT16 - Static variable in class edu.ucla.stat.SOCR.distributions.DieDistribution
 
FLAT16 - Static variable in class edu.ucla.stat.SOCR.util.DiceBoard
 
FLAT16 - Static variable in class edu.ucla.stat.SOCR.util.Die
 
FLAT25 - Static variable in class edu.uah.math.devices.DiceBoard
 
FLAT25 - Static variable in class edu.uah.math.devices.Die
 
FLAT25 - Static variable in class edu.uah.math.distributions.DieDistribution
 
FLAT25 - Static variable in class edu.ucla.stat.SOCR.distributions.DieDistribution
 
FLAT25 - Static variable in class edu.ucla.stat.SOCR.util.DiceBoard
 
FLAT25 - Static variable in class edu.ucla.stat.SOCR.util.Die
 
FLAT34 - Static variable in class edu.uah.math.devices.DiceBoard
 
FLAT34 - Static variable in class edu.uah.math.devices.Die
 
FLAT34 - Static variable in class edu.uah.math.distributions.DieDistribution
 
FLAT34 - Static variable in class edu.ucla.stat.SOCR.distributions.DieDistribution
 
FLAT34 - Static variable in class edu.ucla.stat.SOCR.util.DiceBoard
 
FLAT34 - Static variable in class edu.ucla.stat.SOCR.util.Die
 
FLIGNER_KILLEEN - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
FLIGNER_KILLEEN_NORMAL - Static variable in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
FlignerKilleen - Class in edu.ucla.stat.SOCR.analyses.gui
 
FlignerKilleen() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
 
FlignerKilleen - Class in edu.ucla.stat.SOCR.analyses.model
 
FlignerKilleen() - Constructor for class edu.ucla.stat.SOCR.analyses.model.FlignerKilleen
 
FlignerKilleenCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
FlignerKilleenCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.FlignerKilleenCSV
 
FlignerKilleenExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
FlignerKilleenExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.FlignerKilleenExamples
Constructor method for simple data generation for regression/correlation tests
FlignerKilleenExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.FlignerKilleenExamples
Constructor method for sampel data for ANOVA analysis.
flignerKilleenNormalQuantile - Variable in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
FlignerKilleenResult - Class in edu.ucla.stat.SOCR.analyses.result
 
FlignerKilleenResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
Constructors
FlignerKilleenResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
fliplr() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
flipud() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
FloatSlider - Class in edu.ucla.stat.SOCR.util
 
FloatSlider(String, double, int, double, double, int, boolean) - Constructor for class edu.ucla.stat.SOCR.util.FloatSlider
constructs a FloatSlider using a given number of slider positions.
FloatSlider(String, double, int, double, double, int) - Constructor for class edu.ucla.stat.SOCR.util.FloatSlider
uses default scale (linear).
FloatSlider(String, double, double, double, boolean) - Constructor for class edu.ucla.stat.SOCR.util.FloatSlider
uses default visible(20) and resolution(1000).
FloatSlider(String, double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.FloatSlider
uses default visible(20), resolution(1000), and scale (linear).
FloatSlider(String, double, double) - Constructor for class edu.ucla.stat.SOCR.util.FloatSlider
 
FloatTextField - Class in edu.ucla.stat.SOCR.util
 
FloatTextField(String, double, int, double, double, int, boolean) - Constructor for class edu.ucla.stat.SOCR.util.FloatTextField
constructs a FloatTextField using a given number of slider positions.
FloatTextField(String, double, int, double, double, int) - Constructor for class edu.ucla.stat.SOCR.util.FloatTextField
uses default scale (linear).
FloatTextField(String, double, double, double, boolean) - Constructor for class edu.ucla.stat.SOCR.util.FloatTextField
uses default visible(20) and resolution(1000).
FloatTextField(String, double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.FloatTextField
uses default visible(20), resolution(1000), and scale (linear).
FloatTextField(String, double, double) - Constructor for class edu.ucla.stat.SOCR.util.FloatTextField
 
floatValue() - Method in class edu.ucla.stat.SOCR.util.Numeric
 
floor(double) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Returns the largest long <= value.
flowFinished(Module) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Flow Engine whenever it finishes directing flow through a Module.
flowStarted(Module) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Flow Engine whenever it starts directing flow through a Module.
flush(String) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
flush(Document) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
fm - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
fName - Variable in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
focusBorder - Variable in class edu.ucla.stat.SOCR.util.RowHeaderRenderer
 
focusGained(FocusEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
This method selects the text in a probability field whenever that field gets the focus.
focusGained(FocusEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
focusGained(FocusEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
This method selects the text in a probability field whenever that field gets the foucs.
focusLost(FocusEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
This method deselects the text when a probability field loses the focus.
focusLost(FocusEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
focusLost(FocusEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
 
font - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
font - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
font - Static variable in class edu.ucla.stat.SOCR.chart.Chart
 
Forest - Class in edu.uah.math.devices
This class models a forest as a rectangular lattice of trees.
Forest(int, int, double[], int) - Constructor for class edu.uah.math.devices.Forest
This general constructor creates a new forest with a specified number of rows and columns, specified fire spread probabilities, and a preferred tree size.
Forest(int, int, double[]) - Constructor for class edu.uah.math.devices.Forest
This special constructor creates a new forest with a specified number of rows and columns, specified fire spread probabilities, and with default tree size 5.
Forest(int, int) - Constructor for class edu.uah.math.devices.Forest
This special constructor creates a new forest with a specified number of rows and columns, fire spread probabilities 0.5, and with default tree size 5.
Forest() - Constructor for class edu.uah.math.devices.Forest
This default constructor creates a new forest with 100 rows and 100 columns, default fire spread probabilities 0.5, and default tree size 5.
Forest - Class in edu.ucla.stat.SOCR.util
This class models a forest as a rectangular lattice of trees.
Forest(int, int, int) - Constructor for class edu.ucla.stat.SOCR.util.Forest
This general constructor creates a new forest with a specified number of rows and columns and a specified tree width.
Forest(int, int) - Constructor for class edu.ucla.stat.SOCR.util.Forest
This special constructor creates a new forest with a specified number of rows and columns, and with default tree width 5.
Forest() - Constructor for class edu.ucla.stat.SOCR.util.Forest
This default constructor creates a new forest with 100 rows, 50 columns and tree width 5.
format(double) - Method in class edu.uah.math.devices.Graph
This method formats a specified number.
format(double) - Method in class edu.uah.math.experiments.Experiment
This method formats a number as a string in a specified way.
format(double) - Method in class edu.uah.math.experiments.QuantileApplet
This method formats numbers.
format(double, String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
format(double, String) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
format(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
format(double) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
FORMAT - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
format(double) - Static method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
format(double) - Static method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
format(double) - Static method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
format(double) - Method in class edu.ucla.stat.SOCR.util.DataTable
This method formats a specified number.
format(double) - Method in class edu.ucla.stat.SOCR.util.Graph
 
format(double) - Method in class edu.ucla.stat.SOCR.util.RandomVariableTable
This method format a number
FORMAT00001 - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
FORMAT00001 - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
FORMAT001 - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
FORMAT001 - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
FORMATALL - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
FORMATALL - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
Formula - Class in edu.ucla.stat.SOCR.distributome.data
 
Formula() - Constructor for class edu.ucla.stat.SOCR.distributome.data.Formula
 
formulas - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
FOUR - Static variable in class edu.uah.math.experiments.RouletteExperiment
 
FOUR - Static variable in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
 
FOURIER_TYPE - Static variable in class edu.ucla.stat.SOCR.core.Modeler
 
FourierFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Fourier model fitting curve.
FourierFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
FourierFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
FourierGame - Class in edu.ucla.stat.SOCR.games
This class models a simple interactive scatterplot.
FourierGame() - Constructor for class edu.ucla.stat.SOCR.games.FourierGame
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
fPresentPanel - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
fPresentPanel - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
fPresentPanel - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
fPresentPaneScrollBar - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
fps - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
frame - Static variable in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
freedomParamField - Variable in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
freedomParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
freezeChoice - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
FREQ - Static variable in class edu.uah.math.devices.DataTable
 
FREQ - Static variable in class edu.uah.math.devices.Histogram
 
FREQ - Static variable in class edu.ucla.stat.SOCR.util.DataGraph
 
FREQ - Static variable in class edu.ucla.stat.SOCR.util.Histogram
 
freq - Variable in class edu.ucla.stat.SOCR.util.NormalCurve
 
FREQ - Static variable in class edu.ucla.stat.SOCR.util.varHistogram
 
frequenciesSOCRDistributionData - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
Frequency - Class in edu.ucla.stat.SOCR.util
 
Frequency(double[]) - Constructor for class edu.ucla.stat.SOCR.util.Frequency
 
frequency - Variable in class edu.ucla.stat.SOCR.util.NormalCurve
 
FREQUENCY_COLUMN_NAME - Static variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
Friedman - Class in edu.ucla.stat.SOCR.analyses.gui
this class is for Kruskal Wallis only.
Friedman() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
FriedmanTest - Class in edu.ucla.stat.SOCR.analyses.data
 
FriedmanTest(DataCase[][], String[]) - Constructor for class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
fSOCRPane - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
Controlpane has two component, north and valueSetterPane
fSOCRPane - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
Controlpane has two component, north and valueSetterPane
functionRootBrentDekker(double, double, MathFunction, double) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
Computes a root of the function using the Brent-Dekker method.
Functions - Class in edu.uah.math.distributions
This class defines a collection of static functions that are useful in probability.
Functions() - Constructor for class edu.uah.math.distributions.Functions
 
Functions - Class in edu.ucla.stat.SOCR.distributions
 
Functions() - Constructor for class edu.ucla.stat.SOCR.distributions.Functions
 
functorChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
subclass should implement this method to do whatever needed coressponding the itemchanged event of JComboBox.
functorChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
FUNSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
fuseFDRResultsWithMask() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
fuseFDRResultsWithMask() method This method fuses back the FDR-corrected pValues with the mask ( to produce an output of the same dimension as the initial array of p-values p_values * mask -> MaskedPvalues --FDR--> thresholdedPMap -> FuseWithMask -> Results
fwt - Variable in class edu.ucla.stat.SOCR.core.WaveletLoader
 

G

GaltonBoard - Class in edu.uah.math.devices
This class is a simple model of the classical Galton board.
GaltonBoard(int, double, Color, Color) - Constructor for class edu.uah.math.devices.GaltonBoard
This general constructor creates a new Galton board with a specified number for the last row, a specified probability, and specified ball and peg colors.
GaltonBoard(int, double) - Constructor for class edu.uah.math.devices.GaltonBoard
This special constructor creates a new Galton board with a specified number of rows, a specified probability, and with default peg color blue and ball color red.
GaltonBoard(int) - Constructor for class edu.uah.math.devices.GaltonBoard
This special constructor creates a new Galton board with a specified number of rows, and with default probability 0.5, and default peg color blue and ball color red.
GaltonBoard() - Constructor for class edu.uah.math.devices.GaltonBoard
This default constructor creates a new Galton board with 10 rows and with the dafult probabilities and colors.
GaltonBoard - Class in edu.ucla.stat.SOCR.util
This class is a simple model of the classical Galton board
GaltonBoard(int, int, int) - Constructor for class edu.ucla.stat.SOCR.util.GaltonBoard
This general constructor creates a new Galton board with a specified number of rows, spacing, and radius
GaltonBoard(int) - Constructor for class edu.ucla.stat.SOCR.util.GaltonBoard
This special constructor creates a new Galton board with a specified number of rows and with space 12 and radius 6
GaltonBoardExperiment - Class in edu.uah.math.experiments
This class models the classical Galton board experiment, illustrating the binomial distribution.
GaltonBoardExperiment() - Constructor for class edu.uah.math.experiments.GaltonBoardExperiment
 
GaltonBoardExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the classical Galton board experiment, illustrating the binomial distribution
GaltonBoardExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.GaltonBoardExperiment
This method initializes the experiment, including the Galton board, random variable table and graph, and the toolbar
GaltonBoardGame - Class in edu.uah.math.games
This class models a simple Galton board game.
GaltonBoardGame() - Constructor for class edu.uah.math.games.GaltonBoardGame
 
GaltonBoardGame - Class in edu.ucla.stat.SOCR.games
This class models a simple Galton board game.
GaltonBoardGame() - Constructor for class edu.ucla.stat.SOCR.games.GaltonBoardGame
This method initializes the experiment.
Game - Class in edu.uah.math.experiments
This class defines a basic shell for an interactive exploration.
Game() - Constructor for class edu.uah.math.experiments.Game
 
Game - Class in edu.uah.math.games
This class defines a basic shell for an interactive exploration.
Game() - Constructor for class edu.uah.math.games.Game
 
Game - Class in edu.ucla.stat.SOCR.core
This class defines a basic shell for an interactive exploration.
Game() - Constructor for class edu.ucla.stat.SOCR.core.Game
 
gamma(double) - Static method in class edu.uah.math.distributions.Functions
This method computes the gamma function.
gamma(double) - Static method in class edu.ucla.stat.SOCR.core.Distribution
This method computes the gamma function.
gamma(double) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method computes the gamma function.
gamma - Variable in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
 
gammaCDF(double, double) - Static method in class edu.uah.math.distributions.Functions
This method computes the cumulative distribution function of the gamma distribution with a specified shape parameter and scale parameter 1.
gammaCDF(double, double) - Static method in class edu.ucla.stat.SOCR.core.Distribution
This method computes the CDF of the gamma distribution with shape parameter a and scale parameter 1
gammaCDF(double, double) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method computes the cumulative distribution function of the gamma distribution with a specified shape parameter and scale parameter 1.
GammaDistribution - Class in edu.uah.math.distributions
This class models the gamma distribution with a specified shape parameter and scale parameter.
GammaDistribution(double, double) - Constructor for class edu.uah.math.distributions.GammaDistribution
This general constructor creates a new gamma distribution with specified shape parameter and scale parameters.
GammaDistribution() - Constructor for class edu.uah.math.distributions.GammaDistribution
This default constructor creates a new gamma distribution with shape parameter 1 and scale parameter 1.
GammaDistribution - Class in edu.ucla.stat.SOCR.distributions
Gamma distribution with a specified shape parameter and scale parameter.
GammaDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.GammaDistribution
 
GammaDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.GammaDistribution
 
GammaDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.GammaDistribution
General Constructor: creates a new gamma distribution with shape parameter k and scale parameter b
GammaDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.GammaDistribution
Default Constructor: creates a new gamma distribution with shape parameter 1 and scale parameter 1
GammaEstimateExperiment - Class in edu.uah.math.experiments
This class models the point estimation exerpiment for the gamma distribution.
GammaEstimateExperiment() - Constructor for class edu.uah.math.experiments.GammaEstimateExperiment
 
GammaEstimateExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the point estimation exerpiment for the gamma distribution.
GammaEstimateExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.GammaEstimateExperiment
This method initializes the experiment, including the toolbar, scrollbars and labels.
GammaExperiment - Class in edu.uah.math.experiments
This class models the gamma distribution in terms of the arrival times of a Poisson process.
GammaExperiment() - Constructor for class edu.uah.math.experiments.GammaExperiment
 
GammaExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the gamma distribution in terms of the arrival times of a Poisson process
GammaExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.GammaExperiment
This method initializes the experiment, including the layout of the toolbar, timeline, random variable graph and table
GammaFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a simple Gamma model fitting curve.
GammaFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
GammaFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
GaussErrorFunction(double) - Static method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
Compute the Gauss Error Function http://en.wikipedia.org/wiki/Error_function.
GaussLineMixture - Class in edu.ucla.stat.SOCR.chart.util
 
GaussLineMixture(double, double, Database) - Constructor for class edu.ucla.stat.SOCR.chart.util.GaussLineMixture
 
GEColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a GE colormap
GEColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.GEColorMap
Default constructor
GEColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.GEColorMap
Constructor
GeneralBirthdayExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the general birthday experiment: a sample of a specified size is chosen with replacement from a population of a specified size.
GeneralBirthdayExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.GeneralBirthdayExperiment
This method initializes the experiment, including the set up of the toolbar with scrollbars, the panel containing the balls, the random variable graph and table.
GeneralCauchyDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implmentation of the General Cauchy distribution with specified alpha & beta parameters.
GeneralCauchyDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
General Constructor: creates a Cauchy distribution with specified alpha & beta parameters
GeneralCauchyDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Default constructor: creates a Cauchy distribution with alpha & beta parameters equal to 0 & 1
GeneralizedExtremeValueDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Generalized-Extreme-Value (GEV) Distribution with specified 3 parameters (location, scale, shape): The generalized extreme value distribution (GEV) is a family of continuous probability distributions developed within extreme value theory to combine the Gumbel, Fréchet and Weibull families also known as type I, II and III extreme value distributions.
GeneralizedExtremeValueDistribution(double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This general constructor creates a new GEV GeneralizedExtremeValueDistribution with specified parameters
GeneralizedExtremeValueDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
Default constructor: creates a beta distribution with mu and sigma parameters equal to 1
GeneralizedExtremeValueDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
 
GeneralizedExtremeValueDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
 
generateAttributedSectionLabel(PieDataset, Comparable) - Method in class edu.ucla.stat.SOCR.chart.gui.CustomPieSectionLabelGenerator
 
generateItemLabel(CategoryDataset, int, int) - Method in class edu.ucla.stat.SOCR.chart.gui.CustomCategoryItemLabelGenerator
Generates an item label.
generateKey() - Static method in class edu.ucla.stat.SOCR.servlet.util.CryptoUtil
 
generateKey() - Static method in class edu.ucla.stat.SOCR.servlet.util.KeyUtil
 
generateLabel(CategoryDataset, int) - Method in class edu.ucla.stat.SOCR.chart.gui.SOCRCategoryCellLabelGenerator
 
generateLabel(CategoryDataset, int) - Method in class edu.ucla.stat.SOCR.chart.gui.SOCRCategorySeriesLabelGenerator
 
generateLabel(XYDataset, int) - Method in class edu.ucla.stat.SOCR.chart.gui.SOCRXYSeriesLabelGenerator
 
generateLabel(XYDataset, int) - Method in class edu.ucla.stat.SOCR.chart.gui.SOCRXYZSeriesLabelGenerator
 
generateLabel(XYDataset, int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionItemLabelGenerator
Generates an item label for a particular item within a series.
generatePublicKey() - Static method in class edu.ucla.stat.SOCR.servlet.util.CryptoUtil
 
generatePublicKey() - Static method in class edu.ucla.stat.SOCR.servlet.util.KeyUtil
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.core.Modeler
generates samples from the distribution and returns a double[] data type
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
generateSamples(int) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
generateSectionLabel(PieDataset, Comparable) - Method in class edu.ucla.stat.SOCR.chart.gui.CustomPieSectionLabelGenerator
Generates a label for a pie section.
GeometricDistr - Variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
GeometricDistribution - Class in edu.uah.math.distributions
This class models the geometric distribution with a given success probability.
GeometricDistribution(double) - Constructor for class edu.uah.math.distributions.GeometricDistribution
This general constructor creates a new geometric distribution with a specified success probabilitiy
GeometricDistribution() - Constructor for class edu.uah.math.distributions.GeometricDistribution
This default constructor creates a new geometric distribution with parameter 0.5
GeometricDistribution - Class in edu.ucla.stat.SOCR.distributions
The geometric distribution with parameter p.
GeometricDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.GeometricDistribution
General Constructor: creates a new geometric distribution with parameter p
GeometricDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.GeometricDistribution
Default Constructor: creates a new geometric distribution with parameter 0.5
GeometricDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.GeometricDistribution
Constructor: Creates a new Geometric distribution from a series of observations by parameter estimation.
GeometricDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.GeometricDistribution
Constructor: Creates a new Geometric distribution from a series of observations by parameter estimation.
GeometricFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Geometric Fit model fitting curve.
GeometricFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
GeometricFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
GeometricFit_Modeler Constructor.
gepp() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
get1TailPCutoff(ContingencyTable, double) - Method in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
get1TailPCutoff() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
get1TailPCutoffHigherOrder(ContingencyTable, double) - Method in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
get2TailPCutoff(ContingencyTable, double) - Method in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
get2TailPCutoff() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
get2TailPCutoffHigherOrder(ContingencyTable, double) - Method in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
getAbsDiff() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getAdjustedProportionP() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getAdjustedProportionQ() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getAdjustedSEP() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getAdjustedSEQ() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getAlpha() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get transparency.
getAlpha() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get the current alpha value
getAlpha() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getAlpha() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getAlpha() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getAlpha() - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Get alpha parameter
getAlpha() - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method returns the ALPHA value.
getAlphaIndex() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
Gets alpha information 0-> alpha=0.05, 1-> alpha = 0.01 1-> p < mu0, and 2 -> p != mu0
getAlphaIndex() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
Gets alpha information 0-> alpha=0.05, 1-> alpha = 0.01 1-> p < mu0, and 2 -> p != mu0
getAlphaIndex() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
Gets alpha information 0-> alpha=0.05, 1-> alpha = 0.01 1-> p < mu0, and 2 -> p != mu0
getAlphaMap() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get Alpha map
getAlphaMap() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get alpha map
getAlphaPValue() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getAlphaPValue() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getAlphaPValue() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getAlphaSE() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getAlphaSE() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getAlphaSE() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getAlphaTStat() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getAlphaTStat() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getAlphaTStat() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getAlphaValue() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
getAlphaValue() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
getAlphaValue() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
 
getAnalysis(short) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getAnalysis(short) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getAnalysisInputXMLString(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.JRIAnalysis
 
getAnalysisInputXMLString(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
getAnalysisInputXMLString(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
getAnalysisInputXMLString(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
getAnalysisInputXMLString(Data, short) - Method in class edu.ucla.stat.SOCR.analyses.ri.RIAnalysis
 
getAnalysisOutputFromServer(String) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
getAnalysisOutputStreamFromServer(ByteArrayOutputStream) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
getAnalysisResults() - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
getAnalysisServletOutput(String) - Static method in class edu.ucla.stat.SOCR.analyses.jri.gui.ServletCaller
 
getAnalysisServletOutput(String) - Static method in class edu.ucla.stat.SOCR.analyses.ri.ServletCaller
 
getAnalysisServletOutput(String) - Static method in class edu.ucla.stat.SOCR.analyses.server.ServletCaller
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.JRIAnalysis
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
getAnalysisType() - Method in interface edu.ucla.stat.SOCR.analyses.model.Analysis
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.AnovaOneWay
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.AnovaTwoWay
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.ChiSquareContingencyTable
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.DichotomousProportion
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.FlignerKilleen
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.KolmogorovSmirnoff
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.MultiLinearRegression
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.OneT
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.SimpleLinearRegression
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.Survival
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentFriedman
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentKruskalWallis
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentT
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentWilcoxon
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.TwoPairedSignedRank
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.model.TwoPairedT
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
getAnalysisType() - Method in class edu.ucla.stat.SOCR.analyses.ri.RIAnalysis
 
getAnalysisXMLInputString(short) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getAngle() - Method in class edu.uah.math.devices.BertrandFloor
This method gets the angle parameter.
getAngle() - Method in class edu.uah.math.devices.NeedleFloor
This method gets the angle.
getAngle() - Method in class edu.uah.math.devices.Spinner
This method returns the angle.
getAngle() - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
Get the angle
getAnlge() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method gets the angle parameter
getAppletInfo() - Method in class edu.uah.math.experiments.BallotExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.BertrandExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.BetaEstimateExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.BirthdayExperiment
This method provides basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.BivariateNormalExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.BivariateUniformExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.BuffonCoinExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.BuffonNeedleExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.CardExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.ChuckALuckExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.CoinDieExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.CoinSampleExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.CrapsExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.DiceExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.DiceSampleExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.DieCoinExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.Experiment
This method returns basic copyright, author, and other metadata information.
getAppletInfo() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.FireExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.Game
This method returns basic copyright information.
getAppletInfo() - Method in class edu.uah.math.experiments.GammaEstimateExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.GammaExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.MarkovChainExperiment
This method returns basic information about the applet, including copyright information, descriptive informaion, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.MatchExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.MeanTestExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.MontyHallExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.NormalEstimateExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.OrderStatisticExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.ParetoEstimateExperiment
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.PointExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.Poisson2DExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.PoissonExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.PokerExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.ProportionTestExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.QuantileApplet
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.RandomVariableExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.RandomWalkExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.RouletteExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
 
getAppletInfo() - Method in class edu.uah.math.experiments.SignTestExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.SpinnerExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.TriangleExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.Uniform_E_EstimateExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.UniformEstimateExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.UrnExperiment
This method returns basic information about the applet, including copyright information, descriptive informaion, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.VarianceTestExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.experiments.VoterExperiment
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.games.BivariateGame
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.games.ErrorGame
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.games.GaltonBoardGame
This method gives basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.games.Game
This method returns basic copyright information.
getAppletInfo() - Method in class edu.uah.math.games.MontyHallGame
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
getAppletInfo() - Method in class edu.uah.math.games.RedBlackGame
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method returns basic copyright, author, and other metadata information
getAppletInfo() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method returns basic copyright, author, and other metadata information
getAppletInfo() - Method in class edu.ucla.stat.SOCR.applications.Application
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.chart.Chart
This method returns basic copyright, author, and other metadata information
getAppletInfo() - Method in class edu.ucla.stat.SOCR.core.Experiment
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.core.Game
 
getAppletInfo() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
This method returns basic copyright information
getAppletInfo() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
This method returns basic information about the applet, including copyright information, descriptive informaion, and instructions.
getAppletInfo() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentSimple
This method returns basic information about the applet, including copyright information, descriptive informaion, and instructions.
getAppletInfo() - Method in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
This method returns basic information about the applet, including copyright information, descriptive informaion, and instructions.
getAppletInfo() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
getAppletInfo() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
Returns information about this applet.
getAppletInfo() - Method in class edu.ucla.stat.SOCR.util.SortItem
 
getAttributeNames() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Gets the names of the attributes.
getAttributeValue(String) - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Gets the value of the attribute.
getAuthorString() - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
getAxisColor() - Method in class edu.uah.math.devices.Timeline
This method returns the axis color.
getBackColor() - Method in class edu.uah.math.devices.DiceBoard
This method returns the common back color.
getBackColor() - Method in class edu.uah.math.devices.Die
This method gets the back color.
getBackColor() - Method in class edu.ucla.stat.SOCR.util.Die
This method gets the back color
getBackgroundColor() - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Returns background color of the text that holds by this wrapper.
getBall(int) - Method in class edu.uah.math.devices.Urn
This method returns a specified ball.
getBall(int) - Method in class edu.ucla.stat.SOCR.util.Urn
This method returns the i'th ball.
getBallColor() - Method in class edu.uah.math.devices.Ball
This method gets the ball color.
getBallColor() - Method in class edu.uah.math.devices.CellGrid
This method returns the ball color
getBallColor() - Method in class edu.uah.math.devices.GaltonBoard
This method returns the ball color.
getBallColor() - Method in class edu.uah.math.devices.RouletteWheel
This method returns the ball color
getBallColumn() - Method in class edu.uah.math.devices.GaltonBoard
This method returns the column number of the ball (an integer between 0 and the row number of the ball).
getBallCount() - Method in class edu.uah.math.devices.Urn
This method returns the number of balls.
getBallCount() - Method in class edu.ucla.stat.SOCR.util.Urn
This method returns the number of balls.
getBallRow() - Method in class edu.uah.math.devices.GaltonBoard
This method returns the row number of the ball (an integer between 0 and the number of rows);
getBarHeight() - Method in class edu.ucla.loni.LOVE.colormap.ColorBar
return the height of color bar
getBarLength() - Method in class edu.ucla.loni.LOVE.colormap.ColorBar
Get the length of this bar.
getBeta() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getBeta() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getBeta() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getBeta() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getBeta() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getBeta() - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Get beta parameter
getBeta() - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
Get scale parameters
getBeta() - Method in class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
Get the left paramter
getBeta() - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
Get the left paramter
getBeta() - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method returns the BETA value.
getBetaName() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getBetaName() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getBetaName() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getBetaPValue() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getBetaPValue() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
the reason using String[] instead of double[] is that sometimes we have characters in the results e.g.
getBetaPValue() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getBetaPValue() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
the reason using String[] instead of double[] is that sometimes we have characters in the results e.g.
getBetaPValue() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getBetaSE() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getBetaSE() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getBetaSE() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getBetaSE() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getBetaSE() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getBetaTStat() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getBetaTStat() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getBetaTStat() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getBetaTStat() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getBetaTStat() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getBetweenCDF() - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
getBetweenCDF() - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
getBetweenCDF() - Method in class edu.ucla.stat.SOCR.core.MGFGraphPanel
 
getBetweenCDF() - Method in class edu.ucla.stat.SOCR.core.PGFGraphPanel
 
getBigColumns() - Method in class edu.uah.math.devices.CellGrid
This method returns the number of big columns in the cell grid.
getBinNumbers() - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
getBits() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get number of bits for this colormap.
getBitString() - Method in class edu.uah.math.devices.GaltonBoard
This method returns the bit string that corresponds to the path of the ball through the Galton board, up to the current ball location.
getBitString() - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method returns the bit string that corresponds to the path of the ball through the Galton board
getBlueMap() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get Blue map
getBlueMap() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get blue map
getBostonExample() - Static method in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionBostonExample
Constructor method for sampel data for ANOVA analysis.
getBottomMargin() - Method in class edu.uah.math.devices.Graph
This method gets the bottom margin.
getBound(int) - Method in class edu.uah.math.distributions.Domain
This method returns the boundary point corresponding to a given index.
getBound(int) - Method in class edu.ucla.stat.SOCR.distributions.Domain
This method returns the boundary point corresponding to a given index
getBoxAndWhiskerCategoryChart(String, String, String, JTable, int, int[][], String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
given category data, this method will generate a BoxAndWhisker Chart
getBoxAndWhiskerChart(String, String, String, int, int, int, String[][]) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getBoxAndWhiskerChart(String, String, String, int, int, String[], String[][], double[][][]) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getBoxAndWhiskerChart(String, String, String, int, int, String[], String[][], double[][][]) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator
 
getBoxColor() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the box color.
getBoxLowerOutlier1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getBoxLowerOutlier2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getBoxPlotCategoryCount() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getBoxPlotCategoryName() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getBoxPlotColor() - Method in class edu.uah.math.devices.Histogram
This method returns the boxplot color.
getBoxPlotResponseValue() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getBoxPlotResponseValues() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getBoxPlotSeriesCount() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getBoxPlotSeriesName() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getBoxUpperOutlier1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getBoxUpperOutlier2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getBurntColor() - Method in class edu.uah.math.devices.Forest
This method returns the color of burnt trees
getCard(int) - Method in class edu.uah.math.devices.CardHand
This method gets a specified card.
getCard(int) - Method in class edu.ucla.stat.SOCR.util.Deck
This method gets the i't card.
getCardCount() - Method in class edu.uah.math.devices.CardHand
Ths method gets the number of cards in the deck.
getCardCount() - Method in class edu.ucla.stat.SOCR.util.Deck
Ths method gets the number of cards.
getCardNumber() - Method in class edu.uah.math.devices.Card
This method returns the number of the card from 0 to 51.
getCardNumber() - Method in class edu.ucla.stat.SOCR.util.Card
This method gets the number of the card: 0-12 are the clubs, 13-25 are the diamonds 26-38 are the hearts, and 39-51 are the spades.
getCardNumbers() - Method in class edu.uah.math.devices.CardHand
This method returns the array of card numbers.
getCardNumbers(int) - Method in class edu.uah.math.devices.CardHand
This method returns the card number of an individual card
getCategory(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the category for the specified item in the series.
getCategoryChart(String, String, String, String, JTable, int, int[][], String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
given category data, this method will generate a Bar Chart, Line Chart, Area Chart or Step Chart
getCategoryCount() - Method in class edu.ucla.stat.SOCR.chart.data.Summary
 
getCategoryLabel() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the category label for the dataset.
getCategoryMapping() - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
getCategoryName(int) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
 
getCategorySummary(int) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
return category summary
getCDF(double) - Method in class edu.uah.math.distributions.BetaDistribution
This method computes the cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.BinomialDistribution
This method computes the cumulative distribution function in terms of the beta cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.CauchyDistribution
This method computes the cumulative distribuiton function in closed form.
getCDF(double) - Method in class edu.uah.math.distributions.CircleDistribution
This method compute the cumulative distribution functionin in terms of the radius parameter.
getCDF(double) - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method computes the cumulative distribution function in terms of the parameters.
getCDF(double) - Method in class edu.uah.math.distributions.Distribution
This method returns a default approximate cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.ExponentialDistribution
This method defines the cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.ExtremeValueDistribution
This method computes the cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.FisherDistribution
This method computes the cumulative distribution function in terms of the beta CDF.
getCDF(double) - Method in class edu.uah.math.distributions.GammaDistribution
This method computes the cumulative distribution function of the distribution.
getCDF(double) - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method returns the cumulative distribution function of the location- scale distribution in terms of the CDF of the given distribution and the location and scale parameters.
getCDF(double) - Method in class edu.uah.math.distributions.LogisticDistribution
This method computes the cumulative distribution function, which is F(x) = ex / (1 + ex)
getCDF(double) - Method in class edu.uah.math.distributions.LogNormalDistribution
This method computes the cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.MixtureDistribution
This method computes the cumulative distributions function of the mixture distributions as a linear combination of the CDFs of the given distributions, using the mixing probabilities.
getCDF(double) - Method in class edu.uah.math.distributions.NormalDistribution
This method computes the cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.OrderStatisticDistribution
This method computes the cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.ParetoDistribution
This method comptues the cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.PoissonDistribution
This method computes the cumulative distribution function in terms of the gamma cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.StudentDistribution
This method computes the cumulative distribution function in terms of the beta CDF.
getCDF(double) - Method in class edu.uah.math.distributions.TriangleDistribution
This method computes the cumulative distribution function.
getCDF(double) - Method in class edu.uah.math.distributions.WeibullDistribution
This method computes the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns a default approximate cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
Computes the Anderson-Darling CDF (distribution) function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
Compute the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Specify the CDF in terms of the beta CDF
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.CauchyDistribution
This method computes the CDF.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
Cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
This method compute the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method computes the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Compute the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This method defines the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method computes the cumulative distribution function in terms of the beta CDF
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Compute the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
Cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Compute the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method computes the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method computes the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.GompertzDistribution
Cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Compute the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This method computes the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
This method computes the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
This method computes the cumulative distribution function -- This is known in closed-form http://en.wikipedia.org/wiki/Inverse_Gaussian_distribution
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
This method computes the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method computes the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
Computes the Kolmogorov distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
Cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.LocationScaleDistribution
This method returns the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
This method computes the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This method computes the CDF function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method computes the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
This method comptues the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method computes the cumulative distributions function of the mixture distributions as a linear combination of the CDFs of the given distributions, using the mixing probabilities.
getCDF(int[]) - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
getCDF(int, double[], int[]) - Static method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
http://controls.engin.umich.edu/wiki/index.php/Multinomial_distributions
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method computes the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.OrderStatisticDistribution
Cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
This method comptues the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Compute the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Compute the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
Compute the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
This method computes the cumulative distribution function in terms of the beta CDF
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This method computes the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method computes the cumulative distribution function.
getCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method computes the cumulative distribution function
getCDF(double) - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
getCDF(double) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
getCDF_n_1(double) - Method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
Computes the Anderson-Darling CDF (distribution) function for default parameter n==1.
getCellCount() - Method in class edu.uah.math.devices.CellGrid
This method returns the counts for all of the cells.
getCellCount(int) - Method in class edu.uah.math.devices.CellGrid
This method returns the cell count for an individual cell.
getCellEditor(int) - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
getCellEditor() - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
getCellId() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getCellId() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getCells() - Method in class edu.uah.math.devices.CellGrid
This method returns the number of cells.
getCellSummary(CategoryDataset, int) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
return summary for each table cell of the given serie
getCensor() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalObject
 
getCensoredRateArray() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getCensoredTimeArray() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getCenter() - Method in class edu.uah.math.devices.ErrorGraph
This method returns the measure of center.
getCenter() - Method in class edu.ucla.stat.SOCR.util.ErrorGraph
This method returns the center: the mean for type 0 and the median for type 1.
getCentralMoment(int) - Method in class edu.uah.math.distributions.NormalDistribution
This method computes the central moment of a specifed order.
getChangeListeners() - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
Returns an array of all the ChangeListeners added to this PlayerControl with addChangeListener().
getChart() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
 
getChartPanel() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getChartPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
getChartPanel() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
 
getChiSquarePValue() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getChiStat() - Method in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
getChiStat() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getChordColor() - Method in class edu.uah.math.devices.BertrandFloor
This method returns the color of the chord.
getCI95X1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getCI95X2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getCIData() - Method in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
getCIMeanValue() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
getCircleColor() - Method in class edu.uah.math.devices.BertrandFloor
This method returns the color of the circle.
getCiString() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getCITextP() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getCITextQ() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getCIVarValue() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
getCiWidth() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getClass(Object) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
getClass(Object, String) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
getClassCount() - Method in class edu.ucla.stat.SOCR.util.PluginLoader
 
getClassName() - Method in class edu.ucla.stat.SOCR.chart.DemoDescription
Returns the class name.
getClassString(int) - Method in class edu.ucla.stat.SOCR.util.PluginLoader
 
getCodeBase() - Static method in class edu.ucla.stat.SOCR.core.SOCRCodeBase
 
getCogetVariance() - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method returns the covariance
getCoin(int) - Method in class edu.uah.math.devices.CoinBox
This method gets a specified coin.
getCoin(int) - Method in class edu.ucla.stat.SOCR.util.CoinBox
This method gets the i't coin.
getCoinColor() - Method in class edu.uah.math.devices.CoinFloor
This method returns the coin color
getCoinCount() - Method in class edu.uah.math.devices.CoinBox
Ths method gets the number of coins.
getCoinCount() - Method in class edu.ucla.stat.SOCR.util.CoinBox
Ths method gets the number of coins.
getColNames() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getColNames() - Method in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
getColNames() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
getColor(int) - Method in class edu.uah.math.devices.ScatterPlot
This method gets the color of the point with a specified index.
getColor(int) - Method in class edu.uah.math.devices.Timeline
This method returns the color at a specified index.
getColor(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the color for the specified item in the series.
getColor() - Method in class edu.ucla.stat.SOCR.util.Ball
This method gets the ball color.
getColor() - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Returns color of the text that holds by this wrapper.
getColorDateFormat() - Method in class edu.ucla.stat.SOCR.motionchart.MotionToolTipGenerator
Returns the date formatter for the color values.
getColorFormat() - Method in class edu.ucla.stat.SOCR.motionchart.MotionToolTipGenerator
Returns the number formatter for the color values.
getColorLabel() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the color label for the dataset.
getColorMap() - Method in class edu.ucla.loni.LOVE.colormap.ColorMapControlPanel
 
getColorMapNames() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get the available colormaps.
getColorMapping() - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
getColorMapRule() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
 
getColorModel() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get a colormodel of current colormap.
getColorModel() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get a colormodel of this give colormap
getColorOfGroups() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getColorOfKernels() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getColorOfMainGroup() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getColors() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the vector of colors.
getColors() - Method in class edu.uah.math.devices.Spinner
This method returns the array of colors
getColors(int) - Method in class edu.uah.math.devices.Spinner
This method returns an individual color
getColors() - Method in class edu.uah.math.devices.Timeline
This method returns the entire vector of colors
getColors() - Method in class edu.uah.math.devices.Voters
This method returns the array of colors (states).
getColors(int) - Method in class edu.uah.math.devices.Voters
This method returns a particular state (color).
getColSum() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getColSum() - Method in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
getColSum() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
getColSumObserved() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getColumn() - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method returns the column position of the ball
getColumn(int) - Method in class edu.ucla.stat.SOCR.util.Matrix
 
getColumnClass(int) - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Returns the most specific superclass for all the cell values in the column.
getColumnClass(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
getColumnClass(TableModel, int) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
getColumnClass(TableModel, int, String) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
getColumnCount() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Returns the number of columns in the model.
getColumnIndex() - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedColumnInfo
Returns model column index.
getColumnName(int) - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Returns the name of the specified column.
getColumnParseString(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
getColumns() - Method in class edu.uah.math.devices.CellGrid
This method returns the number of columns in the cell grid.
getColumns() - Method in class edu.uah.math.devices.Forest
This method gets the number of columns in the forest lattice.
getColumns() - Method in class edu.uah.math.devices.Voters
This method returns the number of columns.
getColumnSortOrder(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Returns column's sort order.
getColumnSortRank(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Returns column's sort rank within all sorted columns.
getCompassChart(String, JTable, int, int[][], String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
given a sigle data, this method will generate a compass Chart
getCompleteArray() - Method in class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
getCompleteArray() - Method in class edu.ucla.stat.SOCR.analyses.data.KruskalWallisTest
 
getCompleteArray() - Method in class edu.ucla.stat.SOCR.analyses.data.WilcoxonRankTest
 
getCompleteMap() - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
getComponentPanel() - Method in class edu.uah.math.experiments.Experiment
This method gets the component panel.
getComponentSetter(int) - Method in class edu.ucla.stat.SOCR.core.SOCRValueSettable
 
getComponentSetters() - Method in interface edu.ucla.stat.SOCR.core.IValueSettable
 
getComponentSetters() - Method in class edu.ucla.stat.SOCR.core.SOCRValueSettable
 
getComposedXML() - Method in class edu.ucla.stat.SOCR.analyses.xml.XMLComposer
 
getComputedHistoStats() - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
getConfidenceIntervals() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getConfidenceIntervals() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getCorrelation() - Method in class edu.uah.math.devices.UserScatterPlot
This method returns the correlation between the x data and the y data.
getCorrelation() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getCorrelation() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
getCorrelation(int, double[]) - Static method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
getCorrelation() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
 
getCorrelation() - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method returns the correlation
getCorrelationXY() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getCount(int) - Method in class edu.uah.math.devices.DiceBoard
This method returns the count for a given score for a specified number of dice.
getCount() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
getCount() - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
getCount(int, int) - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method returns the count for score x among the first n dice.
getCount(int) - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method returns the count for score x among all of the dice.
getCount() - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
getCountColor() - Method in class edu.uah.math.devices.CellGrid
This method returns the count color
getCovariance() - Method in class edu.uah.math.devices.UserScatterPlot
This method returns the covariance between the x data and the y data.
getCovariance() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This method returns the variance-covariance matrix of the Multinomail distribution, which is defined as sigma(i,j) = E[(Xi - mu(i))(Xj - mu(j))].
getCovariance(int, double[]) - Static method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
getCovariance() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
 
getCovarianceXY() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getCriticalValue() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getCummilativeTimesAtIndex(int) - Method in class edu.uah.math.devices.Timeline
This method returns the Cummulative times UP-TO a specified index.
getCurrentCell() - Method in class edu.uah.math.devices.CellGrid
This method gets the currently selected cell
getCurrentColorMapName() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get colormap's name.
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRApplications
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRGames
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
getCurrentItem() - Method in class edu.ucla.stat.SOCR.core.WaveletLoader
 
getCurrentPoint() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getCurrentTime() - Method in class edu.uah.math.devices.Timeline
This method gets the current time.
getCurrentTimeColor() - Method in class edu.uah.math.devices.Timeline
This method returns the color used to denote the current time.
getCurvedGaussian(int) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
getCutPoint(int) - Method in class edu.ucla.stat.SOCR.util.Triangle
This method returns the cutpoints.
getCutX() - Method in class edu.uah.math.devices.Stick
This method returns the first cut point.
getCutY() - Method in class edu.uah.math.devices.Stick
This method gets the second cut point.
getCvIndex() - Method in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
getCvIndex() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getCvIndex() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getData() - Method in class edu.uah.math.devices.DataTable
This method returns the interval data set.
getData() - Method in class edu.uah.math.devices.ErrorGraph
This method returns the data set.
getData() - Method in class edu.uah.math.devices.RecordTable
This method returns the data vector.
getData() - Method in class edu.uah.math.devices.UrnChain
This method return the interval data.
getData() - Method in class edu.ucla.stat.SOCR.analyses.data.DataFrame
 
getDataArray() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getDataColor() - Method in class edu.uah.math.devices.RandomVariableGraph
This method returns the color for the data graph elements.
getdataCursor() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getDataRankInformation() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getDataRankSepratedInformation() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getDataset() - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
 
getDataset() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
getDataset() - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
getDataset() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
 
getDatasets() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
getDatasets() - Method in class edu.ucla.stat.SOCR.chart.util.GaussLineMixture
 
getDataSize() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the number of data points.
getDataSize() - Method in class edu.uah.math.devices.Timeline
This method returns the number of data points.
getDataSummaryOfGroup1() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
getDataSummaryOfGroup2() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
getDataTable() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
getDataType() - Method in class edu.ucla.stat.SOCR.analyses.data.Column
 
getDB() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getDbName() - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
getDDegrees() - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method gets the denominator degrees of freedom
getDefaultColor() - Method in class edu.uah.math.devices.UrnChain
This method gets the default color, the color of all states except the current state.
getDefaultSelectedDistribution() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
getDegrees() - Method in class edu.uah.math.distributions.ChiSquareDistribution
This method returns the degrees of freedom parameter.
getDegrees() - Method in class edu.uah.math.distributions.StudentDistribution
This method returns the degrees of freedom parameter.
getDegrees() - Static method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
This method returns the degrees parameter
getDegrees() - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
This method returns the degrees of freedom
getDegrees() - Method in class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
This method returns the degrees of freedom
getDegrees() - Static method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
This method returns the degrees parameter
getDegrees() - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
This method returns the degrees of freedom
getDegreesOfFreedom() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getDelta() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
Get delta
getDelta() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
Get delta
getDenominatorDegrees() - Method in class edu.uah.math.distributions.FisherDistribution
This method gets the denominator degrees of freedom.
getDensity(double) - Method in class edu.uah.math.distributions.BetaDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.BinomialDistribution
This method computes the probability density function in terms of the number of trials and the probability of success.
getDensity(double) - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method computes the probability density function in terms of the probability density of the number of trials and the probability of success.
getDensity(double) - Method in class edu.uah.math.distributions.BirthdayDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.CircleDistribution
This method computes the probability density function,
getDensity(double) - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.CouponDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.DiscreteArcsineDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.Distribution
This method defines the probability density function of the distribution.
getDensity(double) - Method in class edu.uah.math.distributions.ExponentialDistribution
This method computes the probability denstiy function.
getDensity(double) - Method in class edu.uah.math.distributions.ExtremeValueDistribution
This method computes the denstiy function.
getDensity(double) - Method in class edu.uah.math.distributions.FiniteDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.FisherDistribution
This method computes the probability denisty function.
getDensity(double) - Method in class edu.uah.math.distributions.GammaDistribution
This method computes the probability density function,
getDensity(double) - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.IntervalData
This method returns the density of the data distribution at a given value.
getDensity(double) - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method computes the probability density function of the location-scale distribution in terms of the location and scale parameters and the density function of the given distribution.
getDensity(double) - Method in class edu.uah.math.distributions.LogisticDistribution
This method computes the probability density function,which is f(x) = ex / (1 + ex)2
getDensity(double) - Method in class edu.uah.math.distributions.LogNormalDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.MatchDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.MixtureDistribution
This method computes the density function of the mixture distributions as a linear combination of the densities of the given distributions using the mixing probabilities.
getDensity(double) - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.NormalDistribution
This method defines the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.OrderStatisticDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.ParetoDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.PoissonDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.StudentDistribution
This method computes the probability density function.
getDensity(double) - Method in class edu.uah.math.distributions.TriangleDistribution
This method computes the density.
getDensity(double) - Method in class edu.uah.math.distributions.WalkMaxDistribution
This method defines the density function.
getDensity(double) - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method computes the density function.
getDensity(double) - Method in class edu.uah.math.distributions.WeibullDistribution
This method computes the denstiy function.
getDensity(double) - Method in class edu.ucla.stat.SOCR.core.Distribution
The getDensity method is abstract and must be overridden for any specific distribuiton
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
This method computed the Anderson-Darling density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
 
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.BenfordDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Define the Beta-Binomial getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
Define the beta getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Define the beta getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Define the binomial getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.BinomialRandomNDistribution
 
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This method computes the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
This method computes the getDensity function.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method computes the density function.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.Convolution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.DiscreteArcsineDistribution
This method computes the density function.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.DiscreteUniformDistribution
 
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Define the Erlang getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Define the Error getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This method defines the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.FiniteDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This method computes the getDensity.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method computes the denisty function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Define the beta getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Define the beta getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
Define the GEV getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method computes the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.GompertzDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Define the Gumpbel getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This method defines the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
This method defines the getDensity function http://en.wikipedia.org/wiki/Hyperbolic_secant_distribution
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the getDensity for a given value
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
This method defines the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
Define the beta getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
Define the beta getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
This method computed the Kolmogorov density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.LocationScaleDistribution
This method defines the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Define the LogarithmicSeries getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
This method computes the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This method computes the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method computes the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
This method computes the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.MatchDistribution
This method computes the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
This method computes the getDensity function.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
Define the Minimax getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method computes the density function of the mixture distributions as a linear combination of the densities of the given distributions using the mixing probabilities.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
Define the Multinomial getDensity function
getDensity(int[]) - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This method computes the density function of the Multinomail distribution
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
Define the Muth getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Density function http://planetmath.org/encyclopedia/NegativeHypergeometricDistribution.html
getDensity(int[]) - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
This method computes the density function of the Negative Multinomail distribution
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
Define the Multinomial getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method defines the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.OrderStatisticDistribution
Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
This method computes the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Define the Poisson getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.PokerDiceDistribution
 
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Define the PowerFunction getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
Define the beta getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method computes the Rician density function.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
This method computes the getDensity function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
 
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Define the TSP Density function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method computes the density function.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method computes the density function.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.WalkMaxDistribution
This method defines the density function.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This method computes the density function.
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method compues teh denstiy function
getDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Density function http://planetmath.org/encyclopedia/ ZipfMandelbrotDistribution.html
getDensity(double) - Method in class edu.ucla.stat.SOCR.util.normComponent
 
getDescription() - Method in class edu.ucla.stat.SOCR.chart.DemoDescription
Returns the description.
getDescription() - Method in class edu.ucla.stat.SOCR.core.Modeler
return the description for this modeler
getDescription() - Method in class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Returns the human readable description of this filter.
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
return the description for this modeler -- like tutorial/instriction for users.
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
return the description for this modeler -- like tutorial/instriction for users.
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
fitCurve for Error Model Not sure if this function is actually used/called anywhere.
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
getDescription() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
getDF() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getDF() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
get the degrees of freedom, df = sample size - number of parameters (including intercept).
getDF() - Method in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
getDF() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
getDF() - Method in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
getDF() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
get the degrees of freedom, df = sample size - number of parameters (including intercept).
getDF() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getDF() - Method in class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
getDF() - Method in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
getDF() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getDF() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getDF() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
getDFAdjusted() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getDFError() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
Error (within) degrees of freedom.
getDFGroup() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getDFModel() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
Model (between) degrees of freedom.
getDFTotal() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
Corrected total degrees of freedom.
getDialogLocation(JDialog, Component) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMouseListener
 
getDialogLocation(JDialog, Component) - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
getDialogPanel(JDialog) - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
getDie(int) - Method in class edu.uah.math.devices.DiceBoard
This method returns a specified die.
getDie(int) - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method returns the i'th die.
getDieCount() - Method in class edu.uah.math.devices.DiceBoard
This method gets the number of dice.
getDieCount() - Method in class edu.ucla.stat.SOCR.util.DiceBoard
Ths method gets the number of dice.
getDiff() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getDifferences(int) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method gets the 2|H-T|/Total difference at a specified time index.
getDisplayPane() - Method in class edu.uah.math.experiments.Experiment
 
getDisplayPane() - Method in class edu.uah.math.games.Game
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.applications.Application
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_Time
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.core.Distribution
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.core.Experiment
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.core.Game
 
getDisplayPane() - Method in interface edu.ucla.stat.SOCR.core.Pluginable
 
getDisplayPane() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
getDistance() - Method in class edu.uah.math.devices.BertrandFloor
This method gets the distance parameter.
getDistance() - Method in class edu.uah.math.devices.NeedleFloor
This method gets the distance.
getDistance() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method gets the distance parameter
getDistance() - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
Get the distance
getDistinctElements(Matrix) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
getDistinctElements(Matrix) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
getDistinctValues() - Method in class edu.uah.math.distributions.CouponDistribution
This method returns the number of distinct values in the sample.
getDistinctValues() - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
Get the number of distinct values
getDistribution() - Method in class edu.uah.math.devices.DistributionGraph
This method returns the distribution associated with the graph.
getDistribution() - Method in class edu.uah.math.devices.QuantileTable
This method returns the distribution
getDistribution() - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method gets the distribution for the number of trials.
getDistribution() - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method returns the distribution.
getDistribution() - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method gets the underlying distribution that is being moved and scaled.
getDistribution() - Method in class edu.uah.math.distributions.OrderStatisticDistribution
This method returns the sampling distribution.
getDistribution() - Method in class edu.uah.math.distributions.RandomVariable
This method gets the probability distribution.
getDistribution() - Method in class edu.ucla.stat.SOCR.distributions.Convolution
This method returns the distribution.
getDistribution() - Method in class edu.ucla.stat.SOCR.distributions.RandomVariable
Get the probability distribution
getDistribution() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
getDistribution() - Method in class edu.ucla.stat.SOCR.util.QuantileGraph
This method returns the distribution.
getDistributionColor() - Method in class edu.uah.math.devices.DistributionGraph
This method returns the graph color.
getDistributions() - Method in class edu.uah.math.distributions.MixtureDistribution
This method returns the array of distributions.
getDistributions(int) - Method in class edu.uah.math.distributions.MixtureDistribution
This method returns a particular distribution.
getDistributions() - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method returns the array of distributions.
getDistributions(int) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method returns a particular distribution.
getDistributionType() - Method in class edu.uah.math.devices.DataTable
This method returns the distribution type (0: frequency, 1: relative frequency, or 2: density).
getDivisions() - Method in class edu.uah.math.devices.Spinner
This method returns the number of divisions.
getDomain() - Method in class edu.uah.math.devices.DistributionGraph
This method returns the domain for the horizontal axis of the graph.
getDomain() - Method in class edu.uah.math.devices.Timeline
This method returns the domain.
getDomain() - Method in class edu.uah.math.distributions.Distribution
This method returns the domain of the distribution.
getDomain() - Method in class edu.uah.math.distributions.IntervalData
This method returns the domain.
getDomain() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns the domain of the distribution.
getDomain() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the domain.
getDomainBounds() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the range of values in the domain.
getDomainBounds(boolean) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the bounds for the domain.
getDomainLowerBound() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the minimum domain value.
getDomainLowerBound(boolean) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the lower bound for the domain.
getDomainRange() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the range of values in the domain.
getDomainUpperBound() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the maximum domain value.
getDomainUpperBound(boolean) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the upper bound for the domain.
getDomainValue(double) - Method in class edu.uah.math.distributions.IntervalData
This method returns the domain value (midpoint) closest to given value of x.
getDomainValue(double) - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the domain value (midpoint) closest to given value of x
getDoorColor() - Method in class edu.uah.math.devices.Door
This method returns the door color
getDoubleArray() - Method in class edu.ucla.stat.SOCR.analyses.data.Column
 
getDoubleValue(Date, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet.DateConverter
 
getDoubleValue(Double, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet.DoubleConverter
 
getDoubleValue(T, int) - Method in interface edu.ucla.stat.SOCR.motionchart.MotionDataSet.DoubleValue
 
getDoubleValue(String, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet.StringConverter
 
getDoubleX(String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getDoubleX(String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getDoubleY(String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getDoubleY(String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getDStat() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getDummyMatrix(String[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getEdgeCount() - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
getEdgeModels() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
 
getEdges() - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
get edges
getEdges() - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
getEdgeTableModels() - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
getEditingColumn() - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
getEditorComponent() - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
getEditState() - Method in class edu.uah.math.devices.Forest
This method returns the edit state.
getEditState() - Method in class edu.uah.math.devices.Voters
This method returns the edit state, the state that a voter will be changed to when a user clicks on the voter.
getElementName() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Gets the name of the element.
getElementsByName(String) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
getElementsCount() - Method in class edu.ucla.stat.SOCR.util.factor
 
getEndX(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Returns the ending X value for the specified series and item.
getEndX(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Returns the ending X value for the specified series and item.
getEndY(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Returns the ending Y value for the specified series and item.
getEndY(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Returns the ending Y value for the specified series and item.
getEnhancePlotParameter(int) - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getEquation() - Method in class edu.ucla.stat.SOCR.distributome.data.Formula
 
getError(double) - Method in class edu.uah.math.devices.ErrorGraph
This method computes the error function.
getErrorMessage(String) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
getErrorType() - Method in class edu.uah.math.devices.ErrorGraph
This method returns the error type.
getEstimate() - Method in class edu.uah.math.devices.EstimateGraph
This method gets the estimated value of the parameter.
getEstimate() - Method in class edu.ucla.stat.SOCR.util.EstimateGraph
This method gets the estimated value of the parameter
getEstimateColor() - Method in class edu.uah.math.devices.EstimateGraph
This method returns the estimate color.
getEstimates() - Method in class edu.ucla.stat.SOCR.analyses.xml.AnalysisOutput
 
getEventColor() - Method in class edu.uah.math.devices.CoinScatter
This method returns the boundary color for the crack cross event.
getEventColor() - Method in class edu.uah.math.devices.NeedleScatter
This method returns the event color.
getEventColor() - Method in class edu.uah.math.devices.TriangleScatter
Ths methd returns the color of the event borders.
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.AnovaOneWayExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.ChiSquareContingencyTableExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.ChiSquareModelFitExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.CIExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.DichotomousProportionExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.ExampleData
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.ExampleDataRandom
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.FlignerKilleenExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.KolmogorovSmirnoffExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionBostonExample
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.OneTExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.SimpleLinearRegressionExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.SurvivalExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentFriedmanExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentKruskalWalliesExamples
returns a JTable object containing the Example Data
getExample(int) - Method in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentTExamples
 
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentTExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentWilcoxonExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignedRankExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignTestExamples
returns a JTable object containing the Example Data
getExample(int) - Method in class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
 
getExample() - Method in class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.chart.ChartExampleData
returns a JTable object containing the Example Data
getExample() - Method in class edu.ucla.stat.SOCR.util.ANOVAExampleData
returns a JTable object containing the Example Data
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.AnovaOneWayExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.AnovaTwoWayExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.ChiSquareContingencyTableExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.ChiSquareModelFitExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.CIExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.DichotomousProportionExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.FlignerKilleenExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.KolmogorovSmirnoffExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionBostonExample
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.OneTExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.SimpleLinearRegressionExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.SurvivalExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentFriedmanExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentKruskalWalliesExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentTExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentWilcoxonExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignedRankExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignTestExamples
 
getExampleSource() - Static method in class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
 
getExpected() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getExpectedData() - Method in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
Accessors
getExpectedData() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
Accessors
getExtension(File) - Method in class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Return the extension portion of the file's name .
getFactorCount() - Method in class edu.ucla.stat.SOCR.util.factor
 
getFactorGroupNames() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getFactorGroupNumber() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
Number of groups in the independent variable.
getFactorialMoment(int) - Method in class edu.uah.math.distributions.BinomialDistribution
This method returns the factorial moment of a specified order.
getFactorialMoment(int) - Method in class edu.uah.math.distributions.GeometricDistribution
This method computes the factorial moment of a specified order.
getFactorialMoment(int) - Method in class edu.uah.math.distributions.PoissonDistribution
This method returns the factorial moment of a specified order.
getFactorLevels(int) - Method in class edu.ucla.stat.SOCR.util.factor
 
getFACTORS() - Method in class edu.ucla.stat.SOCR.util.Anova
 
getFactorValues(int) - Method in class edu.ucla.stat.SOCR.util.factor
 
getFailureRate(double) - Method in class edu.uah.math.distributions.Distribution
This method computes the failure rate function.
getFailureRate(double) - Method in class edu.uah.math.distributions.WeibullDistribution
This method computes the failure rate function.
getFailureRate(double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method computes the failure rate function
getFailureRate(double) - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method computes the failure rate function
getFirstQuartile1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getFirstQuartile2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getFlignerKilleenNormalQuantile() - Method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
getFlignerKilleenNormalQuantile(int, double) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
getFloatMaximum() - Method in class edu.ucla.stat.SOCR.util.FloatSlider
 
getFloatMaximum() - Method in class edu.ucla.stat.SOCR.util.FloatTextField
 
getFloatMinimum() - Method in class edu.ucla.stat.SOCR.util.FloatSlider
 
getFloatMinimum() - Method in class edu.ucla.stat.SOCR.util.FloatTextField
 
getFloatValue() - Method in class edu.ucla.stat.SOCR.util.FloatSlider
 
getFloatValue() - Method in class edu.ucla.stat.SOCR.util.FloatTextField
 
getFont() - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Returns font of the text that holds by this wrapper.
getFormattedDouble(double) - Method in class edu.ucla.stat.SOCR.analyses.result.AnalysisResult
 
getFormattedDouble(double) - Method in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
getFormattedDouble(double) - Method in class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
 
getFormattedGroup(double[]) - Method in class edu.ucla.stat.SOCR.analyses.result.AnalysisResult
 
getFormattedGroup(double[]) - Method in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
getFormattedGroup(double[]) - Method in class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
 
getFormattedGroupArray(double[][]) - Method in class edu.ucla.stat.SOCR.analyses.result.AnalysisResult
 
getFormattedGroupArray(double[][]) - Method in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
getFormattedGroupArray(double[][]) - Method in class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
 
getFormulaCount() - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
getFormulaDensityPrefix() - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
getFormulaId() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getFormulaId() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getFormulaModels() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
 
getFormulas() - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
getFormulaTableModels() - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
getFramesPerSecond() - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
getFreq(double) - Method in class edu.uah.math.distributions.IntervalData
This method returns the frequency of the class containing a given value.
getFreq(double) - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the frequency of the class containing a given value of x.
getFreqArray() - Method in class edu.ucla.stat.SOCR.util.Frequency
 
getFreqSize() - Method in class edu.ucla.stat.SOCR.util.Frequency
 
getFreqSOCRDistributionData() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method gets the array of the current frequenciesSOCRDistributionData
getFrequencies() - Method in class edu.uah.math.distributions.IntervalData
 
getFrequency(double) - Method in class edu.ucla.stat.SOCR.util.Frequency
 
getFullName(int) - Method in class edu.ucla.stat.SOCR.distributome.data.Type
 
getFullName(int[]) - Method in class edu.ucla.stat.SOCR.distributome.data.Type
 
getFunctionType() - Method in class edu.uah.math.devices.DistributionGraph
This method returns the type of function that is drawn.
getFValue() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getFValue() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getFValue() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getFValueArray() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getFValueGroup() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getGamma() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
Get gamma
getGamma() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
Get gamma
getGamma() - Method in class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
Get the right parameter
getGamma() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
Returns the parameter gamma of this object.
getGeneratedArray(double[], int) - Static method in class edu.ucla.stat.SOCR.util.RandomGenerator
 
getGenericNormalQuantile(double, double, int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getgetSampleSDX() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getgetSampleSDY() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getGFDerivative(int, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method approximates a derivative for a Generating Function using Newton's Quotient.
getGFSecondDerivative(int, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method approximates the second derivative for a Generating Function using Newton's Quotient.
getGrandMean() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getGrandTotal() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getGrandTotal() - Method in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
getGrandTotal() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
getGraph() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
getGraph() - Method in class edu.ucla.stat.SOCR.analyses.result.Result
 
getGraphColor() - Method in class edu.uah.math.devices.BallotGraph
This method returns the color for the graph of the random walk (the winners lead as a function of the number of votes counted).
getGraphColor() - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method returns the color for the graph of the random walk.
getGraphColor() - Method in class edu.uah.math.devices.ErrorGraph
This method returns the graph color.
getGraphColor() - Method in class edu.uah.math.devices.RandomWalkGraph
This method returns the graph color
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.core.Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
getGraphLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
getGraphPanel() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.core.Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
getGraphUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
getGreenMap() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get Green map
getGreenMap() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get green map
getGridColor() - Method in class edu.uah.math.devices.CellGrid
This method returns the grid color
getGroup() - Method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
getGroupCount() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getGroupMean() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getGroupNameLarge() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
getGroupNameList() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
Accessors
getGroupNameList() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
Accessors
getGroupNames() - Method in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
getGroupNameSmall() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
getGroupSize() - Method in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
getGroupTotal() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getHarmonicNumber(int, double, int) - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Compute the Harmonic number http://en.wikipedia.org/wiki/Zipf-Mandelbrot_law parametersL sample-size, power, shift
getHasTie() - Method in class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
getHasTie() - Method in class edu.ucla.stat.SOCR.analyses.data.KruskalWallisTest
 
getHasTie() - Method in class edu.ucla.stat.SOCR.analyses.data.WilcoxonRankTest
 
getHeadColor() - Method in class edu.uah.math.devices.Coin
This method gets the head color.
getHeadColor() - Method in class edu.uah.math.devices.CoinBox
This method returns the head color.
getHeadColor() - Method in class edu.ucla.stat.SOCR.util.Coin
This method gets the head color
getHeadCount() - Method in class edu.uah.math.devices.CoinBox
This method returns the number of heads
getHeadCount(int) - Method in class edu.ucla.stat.SOCR.util.CoinBox
This method returns the number of heads among the first n coins.
getHeadCount() - Method in class edu.ucla.stat.SOCR.util.CoinBox
This method returns the number of heads among all of the coins.
getHeader() - Method in class edu.ucla.stat.SOCR.analyses.data.DataFrame
 
getHeaderEditor() - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTableColumn
 
getHeads(int) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method returns the number of Heads up to index (ind).
getHeads() - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method returns the total number of Heads.
getHealthyColor() - Method in class edu.uah.math.devices.Forest
This method returns the color of healthy trees
getheight() - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
return the heigh of the triangle thumb
getHistogramColor() - Method in class edu.uah.math.devices.Histogram
This method returns the color for the bars in the histogram.
getHistogramType() - Method in class edu.uah.math.devices.Histogram
This method returns the plot style for the histogram.
getHomeDir() - Static method in class edu.ucla.loni.LOVE.Preference
Get the home directory of this program.
getHorizontalAlignment() - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Returns the alignment of the wrapper's contents along the X axis.
getId() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getId() - Method in class edu.ucla.stat.SOCR.distributome.data.Formula
 
getId() - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
getId() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getImage() - Method in class edu.uah.math.devices.Door
This method returns the image.
getImage() - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultImageWrapper
Returns image that holds by this wrapper.
getImgURL() - Method in class edu.ucla.stat.SOCR.distributome.data.Formula
 
getImplementedCombo() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
getImplementedCombo() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
getImplementedFunctorCombo() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
getIndex() - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method returns the Current Index.
getIndex(int) - Method in class edu.uah.math.devices.RouletteWheel
This method gets the index corresponding to a given score.
getIndex(double) - Method in class edu.uah.math.distributions.Domain
This method returns the index of the interval containing a given value.
getIndex(int, int) - Static method in class edu.uah.math.distributions.Functions
This method returns an index between 0 and n - 1, for use in error correcting in arrays.
getIndex() - Method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
getIndex() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalObject
 
getIndex(double) - Method in class edu.ucla.stat.SOCR.distributions.Domain
This method returns the index of the interval containing a given value of x
getIndex(int, int) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method returns an index between 0 and n - 1, for use in error correcting in arrays.
getIndexArray(DataCase[]) - Static method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
getInitialState() - Method in class edu.uah.math.devices.UrnChain
This method returns the initial state.
getInput(short, String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getInstance(String) - Static method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
getInstance(String) - Static method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
getInstance(String) - Static method in class edu.ucla.stat.SOCR.applications.Application
 
getInstance(String) - Static method in class edu.ucla.stat.SOCR.chart.Chart
 
getInstance(String) - Static method in class edu.ucla.stat.SOCR.core.Distribution
 
getInstance(String) - Static method in class edu.ucla.stat.SOCR.core.Experiment
 
getInstance(String) - Static method in class edu.ucla.stat.SOCR.core.Game
 
getInstance(String) - Static method in class edu.ucla.stat.SOCR.core.ModelerGui
 
getInstructions() - Method in class edu.ucla.stat.SOCR.core.Modeler
return the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
return the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
return the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
Returns the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
Returns the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
Returns the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
return the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
Returns the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
return the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
return the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
Returns the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
return the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
Returns the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
return the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
return the instructions for using this modeler
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
getInstructions() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
return the instructions for using this modeler
getIntercept() - Method in class edu.uah.math.devices.UserScatterPlot
This method returns the intercept of the regression line between the x data and the y data.
getIntercept(Element) - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
getIntercept(Element) - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getIntercept(Element) - Method in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
getIntercept() - Method in class edu.ucla.stat.SOCR.util.RegressionLine
 
getIntervalColor() - Method in class edu.uah.math.devices.CriticalGraph
This method returns the interval color.
getIntervalData() - Method in class edu.uah.math.devices.Histogram
This method returns the data set.
getIntervalData() - Method in class edu.uah.math.distributions.RandomVariable
Get the data distribution.
getIntervalData() - Method in class edu.ucla.stat.SOCR.distributions.RandomVariable
Get the data distribution
getIntervalData() - Method in class edu.ucla.stat.SOCR.util.DataGraph
This method returns the data set.
getIntervalData() - Method in class edu.ucla.stat.SOCR.util.Histogram
This method returns the data set.
getIntervalData() - Method in class edu.ucla.stat.SOCR.util.varHistogram
This method returns the data set.
getIntervalMean() - Method in class edu.uah.math.distributions.IntervalData
This method returns the mean of the frequency distribution.
getIntervalMean() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the mean of the frequency distribution.
getIntervalSD() - Method in class edu.uah.math.distributions.IntervalData
This method returns the interval standard deviation.
getIntervalSD() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the interval standard deviation.
getIntervalVariance() - Method in class edu.uah.math.distributions.IntervalData
This method returns the variance of the frequency distribution.
getIntervalVariance() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the interval variance.
getInverted() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get inverted.
getInverted() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
iget the invert flag.
getItem(int, int, Integer) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the column item for the specified item in the series.
getItemClassName(int) - Method in class edu.ucla.stat.SOCR.core.SOCRJComboBox
 
getItemCount(int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset
Returns the number of items in the specified series.
getItemCount(int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the number of items in the specified series.
getItemCount(int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYZDataset
Returns the number of items in a series.
getItemCount(int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Returns the number of items in a series.
getItemCount(int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Returns the number of items in a series.
getItemCount(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the number of items in a series.
getItemLabelPaint(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Returns the paint used to draw an item label.
getItemName(int) - Method in class edu.ucla.stat.SOCR.core.SOCRJComboBox
 
getItemOutlinePaint(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Returns the paint used to outline data items as they are drawn.
getItemOutlineStroke(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Returns the stroke used to outline data items.
getItemPaint(int, int) - Method in class edu.ucla.stat.SOCR.chart.gui.CustomBarRenderer
Returns the paint for an item.
getItemPaint(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Returns the paint used to fill data items as they are drawn.
getItemPanel(JDialog, XYItemEntity, ChartMouseEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMouseListener
 
getItemShape(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Returns a shape used to represent a data item.
getJComboBox() - Method in class edu.ucla.stat.SOCR.core.WaveletLoader
 
getJournal() - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
getJTable() - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
Public Accessor methods for the Table on which this adapter acts.
getJTable() - Method in class edu.ucla.stat.SOCR.util.ExcelAdapter
Public Accessor methods for the Table on which this adapter acts.
getK() - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
 
getKernalDensity(int, double) - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
getKernel(int) - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
getKernel(int) - Method in class edu.ucla.stat.SOCR.util.Mixture
 
getKernelColor(int) - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
getKernelColor(int) - Method in class edu.ucla.stat.SOCR.util.Mixture
 
getKernels() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getKey() - Method in class edu.ucla.stat.SOCR.servlet.util.ClientObject
 
getKey() - Method in class edu.ucla.stat.SOCR.servlet.util.ServerObject
 
getKeyDateFormat() - Method in class edu.ucla.stat.SOCR.motionchart.MotionToolTipGenerator
Returns the date formatter for the key values.
getKeyFormat() - Method in class edu.ucla.stat.SOCR.motionchart.MotionToolTipGenerator
Returns the number formatter for the key values.
getKeyMap() - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
getKeyMapping() - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
getKeywordString() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getKnownStdDev() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getKnownStdDev() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getKSModelTestString(String, int, double[], double[]) - Method in class edu.ucla.stat.SOCR.core.Modeler
getKSModelTestString computes the KolmogorovSmirnoff test statistics of the match between the 100 quantiles of the data and their corresponding model-distribution quartile counterparts!
getksx() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
getksx(int) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
getksxy() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
getksxy(int) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
getksy() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
getksy(int) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
getLabel() - Method in class edu.uah.math.devices.Door
This method returns the label.
getLabel() - Method in class edu.uah.math.devices.Parameter
This method returns the label.
getLabel() - Method in class edu.uah.math.devices.RouletteWheel
This method returns the label of the current score.
getLabel() - Method in class edu.ucla.stat.SOCR.util.RouletteWheel
 
getLabelColor() - Method in class edu.uah.math.devices.Door
This method returns the label color
getLabelTitles() - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
getLambda() - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
This method gets the scale parameter
getLambda() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
Get lambda
getLambda() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
Get lambda
getLambda() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Get the lambda paramter
getLastZero() - Method in class edu.uah.math.devices.RandomWalkGraph
This method returns the time of the last return to 0.
getLastZero() - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method returns the last zero.
getLeft() - Method in class edu.uah.math.devices.BetaGraph
This method returns the left beta parameter.
getLeft() - Method in class edu.uah.math.distributions.BetaDistribution
This method gets the left paramter.
getLeft() - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
Get the left paramter
getLeft() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
----------------------------------GET--------------------------
getLeft() - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
 
getLeft() - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Get the left paramter
getLeft() - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Get the left paramter
getLeft() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
----------------------------------GET--------------------------
getLeftCDF() - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
getLeftCDF() - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
getLeftCDF() - Method in class edu.ucla.stat.SOCR.core.MGFGraphPanel
 
getLeftCDF() - Method in class edu.ucla.stat.SOCR.core.PGFGraphPanel
 
getLeftCutOff() - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
getLeftCutOff() - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
getLeftCutOffValue() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
getLeftCutOffValue() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getLeftCutOffValue() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getLeftLimit() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Get the left LIMIT
getLeftMargin() - Method in class edu.uah.math.devices.Graph
This method gets the left margin.
getLegendItem(int) - Method in class edu.ucla.stat.SOCR.chart.gui.SOCRPolarItemRenderer
 
getLegendItems() - Method in class edu.ucla.stat.SOCR.chart.gui.SOCRSpiderWebPlot
Returns a collection of legend items for the radar chart.
getLength() - Method in class edu.uah.math.devices.NeedleFloor
This method gets the needle length.
getLength() - Method in class edu.uah.math.devices.NeedleScatter
This method gets the needle length.
getLength() - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
Get the needle length
getLength() - Method in class edu.ucla.stat.SOCR.util.NeedleScatter
Get the needle length
getLineAndDotChart(String, String, String, int, String[], double[][], double[][], Color[], int, String[], double[][], double[][], Color[], String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getLineChart(String, String, String, double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getLineChart(String, String, String, String, double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getLineChart(String, String, String, double[], double[], String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getLineChart(String, String, String, String, double[], double[], String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getLineChart(String, String, String, double[], double[], Color[], String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getLineChart(String, String, String, String, double[], double[], Color[], String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getLineChart(String, String, String, int, String[], double[][], double[][], String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getLineChart(String, String, String, int, String[], double[][], double[][], Color[], String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getLineChart(String, String, String, double[], double[]) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator
 
getLineChart(String, String, String, double[], double[], String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator
 
getListCellRendererComponent(JList, Object, int, boolean, boolean) - Method in class edu.ucla.stat.SOCR.util.RowHeaderRenderer
 
getListOfTicks(int) - Method in class edu.ucla.stat.SOCR.util.varHistogram
 
getLocalAbout() - Method in class edu.ucla.stat.SOCR.applications.Application
 
getLocalAbout() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getLocalHelp() - Method in class edu.ucla.stat.SOCR.applications.Application
 
getLocalHelp() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getLocalHelp() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
getLocalHelp() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns a general Distribution usage off-line help.
getLocalHelp() - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
getLocation() - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method returns the location parameter.
getLocation() - Method in class edu.uah.math.distributions.LogNormalDistribution
This method returns the location parameter of ln(Y).
getLocation() - Method in class edu.uah.math.distributions.NormalDistribution
This method returns the location parameter.
getLocation() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Get the Location paramter
getLocation() - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Get the left paramter
getLocation() - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This method returns the mean
getLocation() - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
Get the right parameter
getLocation() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Get the Location-Shift paramter
getLog10Array(double[]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
getLogArray(double[]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
getLogBase() - Method in class edu.ucla.stat.SOCR.distributions.BenfordDistribution
Get population size
getLogNormalQuantile1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getLogNormalQuantile2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getLoserCount() - Method in class edu.ucla.stat.SOCR.util.BallotGraph
This method returns the loser count
getLoserTotal() - Method in class edu.uah.math.devices.BallotGraph
This method returns the total number of votes that the loser receives.
getLowerBound() - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method gets the lower bound of the domain of the distribution.
getLowerBound() - Method in class edu.uah.math.distributions.Domain
This method returns the lower bound of the domain.
getLowerBound() - Method in class edu.uah.math.distributions.TriangleDistribution
This method returns the lower bound
getLowerBound() - Method in class edu.ucla.stat.SOCR.distributions.Domain
This method returns the lower bound
getLowerCIArray() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
getLowerCritical() - Method in class edu.uah.math.devices.CriticalGraph
This method returns the lower critical value.
getLowerEstimate() - Method in class edu.uah.math.devices.MeanEstimateGraph
This method returns the lower estimate
getLowerEstimate() - Method in class edu.uah.math.devices.VarianceEstimateGraph
This method returns the lower estimate.
getLowerLimit() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get lower limit.
getLowerLimit() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Gets the lower limit.
getLowerLimit() - Method in class edu.ucla.stat.SOCR.core.Modeler
return the allowable x limit values.
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
getLowerLimit() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
getLowerP() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getLowerQ() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getLowerValue() - Method in class edu.uah.math.distributions.Domain
This method returns the lower midpoint of the domain.
getLowerValue() - Method in class edu.uah.math.distributions.FiniteDistribution
This method returns the lower value.
getLowerValue() - Method in class edu.ucla.stat.SOCR.distributions.Domain
This method returns the lower midpoint
getMAD() - Method in class edu.uah.math.distributions.IntervalData
This method computes the mean absoulte deviation from the median.
getMAD() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method computes the mean absoulte deviation
getMainEngine() - Static method in class edu.ucla.stat.SOCR.JRI.Rengine
 
getMainPanel() - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
getMainToolBar() - Method in class edu.uah.math.experiments.Experiment
This method returns the main toolbar.
getMap() - Method in class edu.ucla.stat.SOCR.util.Frequency
 
getMapImage(int) - Method in class edu.ucla.loni.LOVE.colormap.ColorBar
 
getMapping() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getMapX() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getMapX() - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getMapY() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getMapY() - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getMax() - Method in class edu.uah.math.devices.Parameter
This method gets the maximum value of the parameter.
getMax(String[], int) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getMax(double[], int) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getMax(double[], int) - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
getMax() - Method in class edu.ucla.stat.SOCR.util.ParameterScrollbar
Get the maximum value of the paraemter
getMax1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getMax2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getMaxDensity() - Method in class edu.uah.math.distributions.BernoulliDistribution
This method returns the maximum value of the probability density function.
getMaxDensity() - Method in class edu.uah.math.distributions.BetaDistribution
This method computes the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.BinomialDistribution
This method returns the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.CircleDistribution
This method computes the maximum value of the density function, which is the value at 0.
getMaxDensity() - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method computes the maximum value of the density function, which is any value, since the density function is constant.
getMaxDensity() - Method in class edu.uah.math.distributions.DiscreteArcsineDistribution
This method computes the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.Distribution
This method returns the largest (finite) value of the probability density function on the finite set of domain values.
getMaxDensity() - Method in class edu.uah.math.distributions.ExtremeValueDistribution
This method returns the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.FisherDistribution
This method computes the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.GammaDistribution
This method returns the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method computes the aximum value of the probability density function.
getMaxDensity() - Method in class edu.uah.math.distributions.IntervalData
This method returns the maximum density of the data set.
getMaxDensity() - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method returns the maximum value of the probability density function of the location-scale distribution, which is the same as the maximum value of the probability density function of the given distribution.
getMaxDensity() - Method in class edu.uah.math.distributions.LogisticDistribution
This method computes the maximum value of the density function, which is 1/4, the value of the density at x = 0.
getMaxDensity() - Method in class edu.uah.math.distributions.LogNormalDistribution
This method computes the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.MatchDistribution
This method gives the maximum value of the probability density function.
getMaxDensity() - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method computes the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.NormalDistribution
This method returns the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.ParetoDistribution
This method returns the maximum value of the probability density function.
getMaxDensity() - Method in class edu.uah.math.distributions.PoissonDistribution
This method returns the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.StudentDistribution
This method returns the maximum value of the probability density function.
getMaxDensity() - Method in class edu.uah.math.distributions.TriangleDistribution
This method computes the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.WalkMaxDistribution
This method returns the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method returns the maximum value of the density function.
getMaxDensity() - Method in class edu.uah.math.distributions.WeibullDistribution
This method returns the maximum value of the density function.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns the largest (finite) value of the getDensity function on the finite set of domain values.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
Maximum value of getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
This method computes the maximum value of the getDensity function.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.BenfordDistribution
Maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.BernoulliDistribution
This method returns the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Specify the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
This method computes the maximum value of the getDensity function.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method computes the maximum value of the getDensity function.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.DiscreteArcsineDistribution
This method computes the maximum value of the density function.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.DiscreteUniformDistribution
 
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This method defines the getMaxDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method computes the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
Maximum value of getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method computes the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.GompertzDistribution
Maximum value of getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This method returns the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
This method returns the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the maximum getDensity.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
Maximum value of getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.LocationScaleDistribution
This method returns the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
This method computes the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This method computes the MAX value of the Density
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method computes the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
This method returns the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.MatchDistribution
This method gives the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Maximum value of getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method returns the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
This method returns the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
This method returns the maximum value of the getDensity function
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This method computes the maximum value of the getDensity function.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Compute the maximum getDensity
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method computes the maximum value of the getDensity function.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method computes the maximum value of the getDensity function.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.WalkMaxDistribution
This method returns the maximum value of the density function.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This method returns the maximum value of the density function.
getMaxDensity() - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method returns the maximum value of the getDensity function
getMaxFreq() - Method in class edu.uah.math.distributions.IntervalData
This method returns the maximum frequency of the data set.
getMaxFreq() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the maximum frequency
getMaximumDomainValue() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the maximum domain value.
getMaximumRangeValue() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the maximum range value.
getMaximumSize() - Method in class edu.uah.math.devices.Parameter
The method specifies that the maximum size should be the same as the preferred size.
getMaxInputX() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getMaxInputY() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getMaxNumberTies() - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
getMaxNumebrTie() - Method in class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
getMaxNumebrTie() - Method in class edu.ucla.stat.SOCR.analyses.data.KruskalWallisTest
 
getMaxNumebrTie() - Method in class edu.ucla.stat.SOCR.analyses.data.WilcoxonRankTest
 
getMaxRelFreq() - Method in class edu.uah.math.distributions.IntervalData
This method returns the maximum relative frequency of the data set.
getMaxRelFreq() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the maximum relative frequency.
getMaxRelFreq() - Method in class edu.ucla.stat.SOCR.util.Frequency
 
getMaxRelFreq() - Method in class edu.ucla.stat.SOCR.util.NormalCurve
 
getMaxTime() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getMaxTimeAll() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
getMaxValue() - Method in class edu.uah.math.devices.RandomWalkGraph
This method returns the maximum values of the random walk.
getMaxValue() - Method in class edu.uah.math.distributions.Data
This method gets the maximum value of the data set.
getMaxValue() - Method in class edu.uah.math.distributions.IntervalData
This method returns the maximum value of the data set.
getMaxValue() - Method in class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
This method returns the maximum value.
getMaxValue() - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method returns the maximum value.
getMaxValue() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the maximum value of the data set
getMaxValue() - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This method returns the maximum value.
getMaxValue() - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method returns the maximum value.
getMaxValue() - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method returns the maximum value.
getMaxValue() - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method returns the maximum value.
getMaxValueFrom1DArray(double[]) - Static method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getMaxValueFrom2DArray(double[][]) - Static method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
getMaxValueFrom2DArray(double[][]) - Static method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getMaxValueFrom2DArray(double[][]) - Static method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
getMaxValueFrom2DArray(double[][]) - Static method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
getMaxX() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getMaxY() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getMean() - Method in class edu.uah.math.distributions.BetaDistribution
This method compute the mean in terms of the parameters.
getMean() - Method in class edu.uah.math.distributions.BinomialDistribution
This method computes the mean in terms of the number of trials and the probability of success.
getMean() - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method computes the mean in terms of the mean of the number of trials and the probability of success.
getMean() - Method in class edu.uah.math.distributions.BirthdayDistribution
This method computes the mean of the distribution in terms of the parameters.
getMean() - Method in class edu.uah.math.distributions.CircleDistribution
This method computes the mean in terms of the radius parameter.
getMean() - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method computes the mean of the distribution in terms of the parameters.
getMean() - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method computes the mean of the convolution distribution in terms of the mean of the given distribution and the convolution power.
getMean() - Method in class edu.uah.math.distributions.CouponDistribution
This method computes the mean of the distribution.
getMean() - Method in class edu.uah.math.distributions.Data
This method returns the mean.
getMean() - Method in class edu.uah.math.distributions.DiscreteArcsineDistribution
This method computes the mean of the distribution.
getMean() - Method in class edu.uah.math.distributions.Distribution
This method returns a default approximate mean.
getMean() - Method in class edu.uah.math.distributions.ExtremeValueDistribution
The method returns the mean of the distribution.
getMean() - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method computes the mean of the distribution.
getMean() - Method in class edu.uah.math.distributions.FisherDistribution
This method returns the mean of the probability distribution.
getMean() - Method in class edu.uah.math.distributions.GammaDistribution
This method returns the mean bk.
getMean() - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method computes the mean of the distribution, which is n r / m.
getMean() - Method in class edu.uah.math.distributions.IntervalData
This method returns the true mean of the data set.
getMean() - Method in class edu.uah.math.distributions.LocationScaleDistribution
This mtehod computes the mean of the location-scale distribution in terms of the mean of the given distribution and the location and scale parameters.
getMean() - Method in class edu.uah.math.distributions.LogisticDistribution
This method returns the mean of the distribution, which is 0.
getMean() - Method in class edu.uah.math.distributions.LogNormalDistribution
This method computes the mean of the distribution.
getMean() - Method in class edu.uah.math.distributions.MatchDistribution
This method returns the mean, which is 1, regardless of the parameter value.
getMean() - Method in class edu.uah.math.distributions.MixtureDistribution
This method computes the mean of the mixture distributions as a linear combination of the means of the given distributions, using the mixing probabilities.
getMean() - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method computes the mean of the distribution.
getMean() - Method in class edu.uah.math.distributions.NormalDistribution
This method returns the mean, which is the same as the location parameter.
getMean() - Method in class edu.uah.math.distributions.PoissonDistribution
This method returns the mean of the distribution.
getMean() - Method in class edu.uah.math.distributions.StudentDistribution
This method returns the mean of the distribution.
getMean() - Method in class edu.uah.math.distributions.TriangleDistribution
This method computes the mean.
getMean() - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method computes the mean.
getMean() - Method in class edu.uah.math.distributions.WeibullDistribution
The method returns the mean of the distribution.
getMean() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getMean() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns a default approximate mean, based on the finite set of domain values.
getMean(double[]) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns the sample mean of a data series
getMean() - Method in class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
This method computes the mean.
getMean() - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Give the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Give the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.BinomialRandomNDistribution
 
getMean() - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This method computes the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
Mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
This method computes the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method computes the mean.
getMean() - Method in class edu.ucla.stat.SOCR.distributions.Convolution
Mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
Mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This method computes the mean.
getMean() - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method returns the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
Mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method returns the mean http://en.wikipedia.org/wiki/Generalized_extreme_value_distribution
getMean() - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method computes the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
These methods return the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the mean of the data set.
getMean() - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
Mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
These methods return the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method returns the Johnson SU mean http://www.mathwave.com/articles/johnson_su_distribution.html
getMean() - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
Mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.LocationScaleDistribution
This mtehod returns the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Compute the mean in closed form
getMean(double[]) - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
 
getMean() - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
This method returns the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method computes the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
This method computes the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.MatchDistribution
This method returns the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
This method computes the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method computes the mean of the mixture distributions as a linear combination of the means of the given distributions, using the mixing probabilities.
getMean(int, double[]) - Static method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
getMean() - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
These methods return the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
This method computes the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
getMean() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method computes the Rician mean.
getMean() - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
This method returns the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This method computes the mean.
getMean() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Compute the mean in closed form
getMean() - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method computes the mean.
getMean() - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method computes the mean.
getMean() - Method in class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This method computes the mean.
getMean() - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
The method returns the mean
getMean() - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Mean
getMean(int) - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
getMean() - Method in class edu.ucla.stat.SOCR.util.normComponent
 
getMean1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getMean2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getMeanDifference() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
getMeanPlotPoints() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getMeanPlotPoints() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
Accessors
getMeanPredicted() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getMeanResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getMeans() - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
This method returns the first row (of means for all Distributions in the mixture)
getMeans() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getMeansSDsWeights() - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method gets up the 3 arrays of mixture parameters (Means[], SDs[] and Weights[]).
getMeanU() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
get MeanU when the sample is large sample.
getMeanW() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
mean of W.
getMeanX() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
Accessors
getMeanX() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
Accessors
getMeanX() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
Accessors
getMeanX() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
Accessors
getMeanX() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
Accessors
getMeanX() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
Accessors
getMeanY() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getMeanY() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getMeanY() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getMeanY() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getMeanY() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
getMeanY() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
getMed() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Get the left LIMIT
getMedian() - Method in class edu.uah.math.distributions.CircleDistribution
This method computes the median which is 0 regardless of the radius parameter.
getMedian() - Method in class edu.uah.math.distributions.Distribution
This method computes a default approximate median.
getMedian(double, double) - Method in class edu.uah.math.distributions.IntervalData
This method computes the median of the values in the data set between two specified values.
getMedian() - Method in class edu.uah.math.distributions.IntervalData
This method computes the median of the entire data set.
getMedian() - Method in class edu.uah.math.distributions.NormalDistribution
This method returns the median, which is the same as the location parameter.
getMedian() - Method in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
getMedian() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method computes a default approximate median.
getMedian() - Method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
Maximum value of getDensity function
getMedian() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
 
getMedian() - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
This method computes the median.
getMedian() - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Compute the mean in closed form
getMedian() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method returns the median http://en.wikipedia.org/wiki/Generalized_extreme_value_distribution
getMedian() - Method in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
This method returns the median
getMedian(double, double) - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method computes the median of the values in the data set between two specified values
getMedian() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method computes the median of the entire data set
getMedian() - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method returns the median
getMedian() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
 
getMedian() - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method computes the median.
getMedian1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getMedian2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getMGF(double) - Method in class edu.uah.math.distributions.BinomialDistribution
This method computes the moment generating function in terms of the probability generating function.
getMGF(double) - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method computes the moment generating funciton in terms of the probability generating function,
getMGF(double) - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method computes the moment generating function in terms of the parameters.
getMGF(double) - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method computes the moment generating function of the convolution distribution in terms of the moment generating function of the given distribution and the convolution power.
getMGF(double) - Method in class edu.uah.math.distributions.Distribution
This method computes a default approximation to the moment generating function.
getMGF(double) - Method in class edu.uah.math.distributions.GammaDistribution
This method returns the moment generating function.
getMGF(double) - Method in class edu.uah.math.distributions.LogisticDistribution
This method computes the moment generating function, which is Γ(1 + t) / Γ(1 − t).
getMGF(double) - Method in class edu.uah.math.distributions.LogNormalDistribution
This method computes the moment generating function.
getMGF(double) - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method computes moment generating function.
getMGF(double) - Method in class edu.uah.math.distributions.NormalDistribution
This method returns the moment generating function.
getMGF(double) - Method in class edu.uah.math.distributions.ParetoDistribution
This method returns the moment generating function.
getMGF(double) - Method in class edu.uah.math.distributions.PoissonDistribution
This method returns the moment generating function.
getMGF(double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns an approximate moment generating function.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMGF(double) - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getMgfDomain() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns the domain of the mgf for that particular distribution.
getMin() - Method in class edu.uah.math.devices.Parameter
This method gets the minimum value of the parameter.
getMin(String[], int) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getMin(double[], int) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getMin(double[], int) - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
getMin() - Method in class edu.ucla.stat.SOCR.util.ParameterScrollbar
Get the minimum value of the parameter
getMin1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getMin2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getMinimumDomainValue() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the minimum domain value.
getMinimumRangeValue() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the minimum range value.
getMinimumSize() - Method in class edu.uah.math.devices.Card
This method returns the minimum size.
getMinimumSize() - Method in class edu.uah.math.devices.Door
This method specifies the minimum size.
getMinimumSize() - Method in class edu.uah.math.devices.Parameter
This method specifies that the minimum size should be the same as the preferred size.
getMinimumSize() - Method in class edu.uah.math.devices.RouletteWheel
This method specifies the minimum size.
getMinimumSize() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getMinimumSize() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasSimple
 
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.Ball
This method specifies the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method specifies the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.BetaGraph
This method specifies the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.Card
This method specifies the minimum size of the card
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.Coin
This method specifies the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method specifies the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.DataGraph
This method specifies the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.Die
Specify the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.Door
This method specifies the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.EstimateGraph
This method specifies the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method specifies the minimum size of the Galton board
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.Histogram
This method specifies the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.QuantileGraph
This method specifies the minimum size.
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.RandomVariableGraph
This method gets the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.RouletteWheel
 
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
Specify the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.Spinner
This method gets the minimum size of the spinner.
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.Timeline
This method specifies the minimum size
getMinimumSize() - Method in class edu.ucla.stat.SOCR.util.Triangle
This method specifies the minimum size
getMinInputX() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getMinValue() - Method in class edu.uah.math.devices.RandomWalkGraph
This method returns the minimum values of the random walk.
getMinValue() - Method in class edu.uah.math.distributions.Data
This method gets the minimum value of the data set.
getMinValue() - Method in class edu.uah.math.distributions.IntervalData
This method returns the minimum value of the data set.
getMinValue() - Method in class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
This method returns the minimum value.
getMinValue() - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method gets the minimum value.
getMinValue() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the minimum value of the data set
getMinValue() - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This method returns the minimum value.
getMinValue() - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method gets the minimum value.
getMinValue() - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method gets the minimum value.
getMinValue() - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method returns the minimum value.
getMinValueFrom1DArray(double[]) - Static method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getMinValueFrom2DArray(double[][]) - Static method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
getMinValueFrom2DArray(double[][]) - Static method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getMinValueFrom2DArray(double[][]) - Static method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
getMinValueFrom2DArray(double[][]) - Static method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
getMinX() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getMinY() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getMissed() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
getMissed() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralLower
 
getMissedCount() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
getMissedCount() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
getMissedCount() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralLower
 
getMissedCount() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
getMissedCount() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
getMissedCount() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralLower
 
getMissedCount() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasSimple
 
getMixDensity(double) - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
getMixSelected() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getMLE(int[][], int, int, int) - Static method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This method returns the array of MLE estimates for the Mulinomial Probabilities.
getMLE(int[][], int, int) - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
MLE estimates of the NMD parameters P_hat
getMode() - Method in class edu.uah.math.distributions.IntervalData
This method returns the mode of the distribution, if it is unique.
getMode() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Compute the Generalized Beta Median==Mode
getMode() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Give the Mode in closed form
getMode() - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
Find the Mode
getMode() - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Compute the mean in closed form
getMode() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Compute the Mode in closed form
getMode() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
Compute the mean in closed form
getMode() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method returns the Mode http://en.wikipedia.org/wiki/Generalized_extreme_value_distribution
getMode() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the mode of the distribution.
getMode() - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
Mode
getMode() - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Compute the mean in closed form
getMode() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Compute the Mode in closed form
getMode() - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Compute the Mode in closed form
getMode() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Compute the Mode
getMode() - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Mode
getModelCount() - Method in class edu.ucla.stat.SOCR.core.Modeler
return the number of models to be plotted.
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
getModelCount() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.core.Modeler
returns one if model is of distribution and needs to be rescaled for display.
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
getModelType() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
getMoment(int) - Method in class edu.uah.math.distributions.BetaDistribution
This method returns the moment of a specified order.
getMoment(double, int) - Method in class edu.uah.math.distributions.BetaDistribution
This method returns the moment a specified order about a specified point.
getMoment(double, int) - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
' This method computes the moment of a specified order about a specified point, in terms of the parameters.
getMoment(double, int) - Method in class edu.uah.math.distributions.Distribution
This method returns a default approximation of the moment of a specified order about a specified point.
getMoment(int) - Method in class edu.uah.math.distributions.Distribution
This method returns a default approximation of the moment of a specified order about 0.
getMoment(int) - Method in class edu.uah.math.distributions.ExponentialDistribution
This method computes the moment of order n.
getMoment(int) - Method in class edu.uah.math.distributions.FisherDistribution
This method returns the moment of a specified order.
getMoment(double, int) - Method in class edu.uah.math.distributions.FisherDistribution
This method returns the moment of a specified order about a specified point.
getMoment(int) - Method in class edu.uah.math.distributions.GammaDistribution
This method returns the moment of order n.
getMoment(double, int) - Method in class edu.uah.math.distributions.GammaDistribution
This method returns the moment a specified order about a specified point.
getMoment(int) - Method in class edu.uah.math.distributions.LogNormalDistribution
This method computes the moment of a specified order.
getMoment(double, int) - Method in class edu.uah.math.distributions.LogNormalDistribution
This method returns the moment of a specified order about a specified point.
getMoment(double, int) - Method in class edu.uah.math.distributions.NormalDistribution
This method computes the moment of a specified order about a specified point.
getMoment(int) - Method in class edu.uah.math.distributions.ParetoDistribution
This method computes the moment of a specified order.
getMoment(double, int) - Method in class edu.uah.math.distributions.ParetoDistribution
This method computes the moment of a specified order about a specified point.
getMoment(int) - Method in class edu.uah.math.distributions.StudentDistribution
This method returns the moment of order n about 0.
getMoment(double, int) - Method in class edu.uah.math.distributions.StudentDistribution
This method returns the moment a specified order about a specified point.
getMoment(int) - Method in class edu.uah.math.distributions.WeibullDistribution
This method returns the moment of a specified order.
getMoment(double, int) - Method in class edu.uah.math.distributions.WeibullDistribution
This method returns the moment of a specified order about a specified point.
getMomentType() - Method in class edu.uah.math.devices.DistributionGraph
This method return the type of moment bar that is displayed.
getMSEGroup() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getMSSError() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
Corrected total residual sum of squares.
getMSSModel() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getMu() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
 
getMu() - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method returns mu
getMu() - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This method returns the location parameter
getMu() - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
This method returns the location parameter
getMu() - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
Get center parameters
getMu() - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method returns mu
getMu() - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method returns the location parameter
getMultiNomialTestResults() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This method returns a Text Array with All cumulative Multinomial results
getMultipleComparisonHeader() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getMultipleComparisonInformation() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getMultipleMeanPlotPoints() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getMultipleMeanPlotPoints() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getMultiplePowerPlotPoints() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getMultiplePowerPlotPoints() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getN() - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
This method returns the Sum of X-values
getN() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
getName() - Method in class edu.uah.math.devices.Parameter
This method returns the name
getName() - Method in class edu.uah.math.devices.Timeline
This method retunrs the name.
getName() - Method in class edu.uah.math.devices.UrnChain
This method returns the name of the chain.
getName() - Method in class edu.uah.math.distributions.Data
This method gets the name of the data set.
getName() - Method in class edu.uah.math.distributions.IntervalData
This method gets the name of the data set.
getName() - Method in class edu.uah.math.distributions.RandomVariable
This method gets the name of the random variable.
getName() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get the names of the actual color map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.BlueColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.BoneColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.CoolColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.CopperColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.GEColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.GrayColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.GreenColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.HotColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.HotmetalColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.HSVColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.RedColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.SpecialSpectralColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.SpectralColorMap
Get the names of the current map
getName() - Method in class edu.ucla.loni.LOVE.colormap.plugins.ThreeColorMap
Get the names of the current map
getName() - Method in class edu.ucla.stat.SOCR.analyses.data.Column
 
getName() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getName() - Method in class edu.ucla.stat.SOCR.core.Distribution
 
getName() - Method in class edu.ucla.stat.SOCR.core.Experiment
 
getName() - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
getName() - Method in interface edu.ucla.stat.SOCR.core.Pluginable
 
getName() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method gets the name of the data set.
getName() - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
getName() - Method in class edu.ucla.stat.SOCR.distributions.RandomVariable
Get the name of the random variable
getName() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getName() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getName() - Method in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
getNDegrees() - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method returns the numerator degrees of freedom
getNearestValue(double) - Method in class edu.uah.math.distributions.Domain
This method returns the value (midpoint) that is closest to a given value.
getNeedleColor() - Method in class edu.uah.math.devices.NeedleFloor
This method returns the color for the needle.
getNegativeMultiNomialTestResults() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
This method returns a Text Array with All cumulative Negative-Multinomial results
getNeighbor() - Method in class edu.uah.math.devices.Voters
This emthod returns the currently selected neighbor.
getNewMaskMetropolisMatrix(ContingencyTable, double) - Method in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
getNewState() - Method in class edu.uah.math.devices.Voters
This method returns the new state.
getNextInputDataBuffer(int, int, int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
This method READS IN a bufferSize chunk of all input volumes and returns it as a double[]
getNextInputDataBuffer(int, int, int, int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
This method READS IN a bufferSize chunk of all input volumes and returns it as a double[]
getNextInputDataBuffer(int, int, int, int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
This method READS IN a bufferSize chunk of all input volumes and returns it as a double[]
getNextInputDataBuffer(int, int, int, int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
This method READS IN a bufferSize chunk of all input volumes and returns it as a double[]
getNextInputDataBuffer(int, int, int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
This method READS IN a bufferSize chunk of all input volumes and returns it as a double[]
getnk() - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
getnk() - Method in class edu.ucla.stat.SOCR.util.Mixture
 
getNodeCount() - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
getNodeCount() - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
getNodeIndex() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getNodeModels() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
Gets the table models for each provenance element.
getNodes() - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
get nodes
getNodes() - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
getNodeTableModels() - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
getNodeURLPrefix() - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
getNormalAnalysis(double, double, double) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getNormalAnalysis(double, double, double) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getNormalAnalysis() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getNormalCriticalPoint(double) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getNormalPower(int, double, double, double, double, String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getNormalPower(int, double, double, double, double, String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getNormalPowerSampleSize(double, double, double, double, double, String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getNormalPowerSampleSize(double, double, double, double, double, String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getNormalQuantile(int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getNormalQuantile1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getNormalQuantile2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getNotify() - Method in class edu.ucla.stat.SOCR.util.EnhancedDefaultTableModel
Returns true if notifications are enabled for all listeners.
getNThreshold() - Method in class edu.ucla.stat.SOCR.analyses.command.volume.FDR
 
getNTrials() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getNu() - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method returns the NU value.
getNullExample() - Method in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
getNumberCensored() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
getNumberCensored() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getNumberCol() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getNumberDead() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
getNumberOfTrials() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
getNumberOfTrials() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
 
getNumberRow() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getNumeratorDegrees() - Method in class edu.uah.math.distributions.FisherDistribution
This method returns the numerator degrees of freedom.
getNumOfGroup() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getNumOfKernels() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getNumPoints() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getNumSamples() - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
getObjectArray() - Method in class edu.ucla.stat.SOCR.analyses.data.Column
 
getObjectArray() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
getObjectList() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
getObserved(int, int) - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getObserved() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getOneMinusProb() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getOnFireColor() - Method in class edu.uah.math.devices.Forest
This method returns the color of on fire trees
getOnlineDescription() - Method in class edu.uah.math.experiments.Experiment
 
getOnlineDescription() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
 
getOnlineDescription() - Method in class edu.uah.math.games.Game
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method returns an online description of this Statistical Analysis.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method returns an online description of this Statistical Analysis.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.applications.Application
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.chart.Chart
This method returns an online description
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.core.Experiment
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.core.Game
This method returns an online description of this Statistical Analysis.
getOnlineDescription() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
 
getOnlineDescription() - Method in interface edu.ucla.stat.SOCR.core.IGame
This method returns an online description of this Statistical Analysis.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
This method returns an online description of this Model.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.BenfordDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.BernoulliDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.CauchyDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.DieDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.DiscreteArcsineDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.DiscreteUniformDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.GeometricDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.GompertzDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.MatchDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.WalkMaxDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method returns an online description of this distribution.
getOnlineDescription() - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
This method returns an online description of this distribution.
getOnlineHelp() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
getOnlineHelp() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
getOnlineHelp() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getOpenColor() - Method in class edu.uah.math.devices.Door
This method returns the open color
getOrder() - Method in class edu.uah.math.distributions.ExtremeValueDistribution
This method returns the type parameter.
getOrder() - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method returns the order.
getOrder() - Method in class edu.uah.math.distributions.OrderStatisticDistribution
This method returns the order
getOrder() - Method in class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This method returns the order.
getOrderStatistic(int) - Method in class edu.uah.math.distributions.Data
This method returns the i'th order statistic.
getOrientation() - Method in class edu.uah.math.distributions.TriangleDistribution
This method returns the orientation.
getOrientation() - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This method returns the orientation.
getOutcomeCount() - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
This method returns the number of outcomes
getOutlineColor() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getOutlineColor1() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getOutlineColor2() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getOutputXmlString(String) - Static method in class edu.ucla.stat.SOCR.analyses.xml.JRIRequestDispatcher
 
getOverColor() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get over color.
getOverColor() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get over color.
getP() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
getP() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
Returns the parameter vector p of this object.
getPanel() - Method in class edu.ucla.stat.SOCR.core.sampler
 
getPanel(JDialog, DefaultTableModel, ArrayList<String>) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMouseListener
 
getPanelFile() - Method in class edu.ucla.stat.SOCR.core.DistributionGraphPanel
This method returns the filename for which distributions belong to this panel.
getPanelFile() - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
getPanelFile() - Method in class edu.ucla.stat.SOCR.core.MGFGraphPanel
This method returns the filename for which distributions belong to this panel.
getPanelFile() - Method in class edu.ucla.stat.SOCR.core.PGFGraphPanel
This method returns the filename for which distributions belong to this panel.
getPar() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
getPar() - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
getParameter() - Method in class edu.uah.math.devices.EstimateGraph
This method gets the true value of the parameter.
getParameter() - Method in class edu.uah.math.distributions.MatchDistribution
This method gets the parameter.
getParameter() - Method in class edu.uah.math.distributions.ParetoDistribution
This method returns the parameter.
getParameter() - Method in class edu.uah.math.distributions.PoissonDistribution
This method sets the rate parameter.
getParameter(short, String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getParameter() - Method in class edu.ucla.stat.SOCR.distributions.DiscreteArcsineDistribution
This method gets the parameter, the number of steps.
getParameter() - Method in class edu.ucla.stat.SOCR.distributions.MatchDistribution
This method gets the parameter
getParameter() - Method in class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
This method returns the radius parameter.
getParameter() - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
This method returns the parameter
getParameter(int) - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
getParameter() - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
Get the parameter
getParameter() - Method in class edu.ucla.stat.SOCR.util.EstimateGraph
This method gets the true value of the parameter
getParameter() - Method in class edu.ucla.stat.SOCR.util.ParameterScrollbar
Get the value of the parameter
getParameter1() - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
 
getParameter1() - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
 
getParameter2() - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
 
getParameter2() - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
 
getParameterColor() - Method in class edu.uah.math.devices.EstimateGraph
This method returns the parameter color.
getParameterFromHtml() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
getParameterFromHtml() - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
getParameterFunctorFromHtml() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
getParameterInfo() - Method in class edu.ucla.stat.SOCR.util.SortItem
 
getParameterItemFromHtml() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
getParameters() - Static method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
This method returns the degrees parameter
getParameters() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method gets the 3 parameters
getParameters() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
This method gets the 4 parameters
getParameters() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method gets the 4 parameters
getParameters() - Static method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
This method returns the degrees parameter
getParameters() - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
 
getParameters() - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
 
getPassword() - Method in class edu.ucla.stat.SOCR.servlet.util.ClientObject
 
getPathToImage() - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultImageWrapper
Returns path to image that wrapper keeps.
getPCutoff() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getPCutoff(boolean) - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getPCutoff() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
getPearsonChiSquareStat() - Method in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
getPearsonChiSquareStat() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
getPegColor() - Method in class edu.uah.math.devices.GaltonBoard
This method returns the peg color.
getPGF(double) - Method in class edu.uah.math.distributions.BinomialDistribution
This method computes the probability generating function in terms of the number of trials and the probability of success.
getPGF(double) - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method computes the probability generating function in terms of the probability generating function of the number of trials and the probability of success.
getPGF(double) - Method in class edu.uah.math.distributions.CouponDistribution
This method computes the probability generating function of the distribution.
getPGF(double) - Method in class edu.uah.math.distributions.Distribution
This method computes a default approximation to the probability generating function.
getPGF(double) - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method computes the probability generating function.
getPGF(double) - Method in class edu.uah.math.distributions.PoissonDistribution
This method returns the probability generating function.
getPGF(double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method should be overriden if the PGF is known in closed form
getPGF(double) - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Computes the probability generating function in closed form for a parameter t which lies in the domain of the distribution.
getPGF(double) - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Computes the probability generating function in closed form for a parameter t which lies in the domain of the distribution.
getPGF(double) - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Computes the moment generating function in closed form for a parameter t which lies in the domain of the distribution.
getPGF(double) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Computes the probability generating function in closed form for a parameter t which lies in the domain of the distribution.
getPGFDomain() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns the domain of the pgf for that particular distribution.
getPieChart(String, JTable, int[][], String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
this will generate a Pie Chart
getPlot() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
 
getPlotData(Element) - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
getPlotData(Element) - Method in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
getPlotDescription() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getPlotType() - Method in class edu.ucla.stat.SOCR.chart.gui.HiddenPlot
 
getPointColor(int) - Method in class edu.ucla.stat.SOCR.util.Database
 
getPointInChart(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
getPointInChart(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.gui.SOCRChartPanel
Receives chart x,y axis.
getPoints() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getPointSize() - Method in class edu.uah.math.devices.Graph
This method returns the points size.
getPointSize() - Method in class edu.ucla.stat.SOCR.util.Graph
This method returns the points size
getPolygon() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
getPolygon() - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
getPoolSampleSD() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getPoolSampleVariance() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getPopSize() - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This method returns the population size
getPopSize() - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
Get the population size
getPopulationSize() - Method in class edu.uah.math.distributions.BirthdayDistribution
This method returns the population size.
getPopulationSize() - Method in class edu.uah.math.distributions.CouponDistribution
This method returns the population size.
getPopulationSize() - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method returns the population size.
getPopulationSize() - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method gets the population size.
getPopulationSize() - Method in class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This method returns the population size.
getPopulationSize() - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Get population size
getPopulationSize() - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Get population size
getPopulationSize() - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Get population size
getPosition() - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Get the current position of the thumb.
getPosteriorColor() - Method in class edu.uah.math.devices.BetaGraph
This method returns the color for the posterior density graph
getPower() - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method returns the convolution power.
getPower() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getPower() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
This method gets the current Power parameter.
getPower() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
This method gets the current Power parameter.
getPower() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
This method gets the current Power parameter.
getPower() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
This method gets the current Power parameter.
getPower() - Method in class edu.ucla.stat.SOCR.distributions.Convolution
This method returns the convolution power.
getPower() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Get the right LIMIT
getPower() - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Get sub-population size
getPowerOneSidedGT() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getPowerOneSidedLT() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getPowerPlotPoints() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getPowerPlotPoints() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getPowerResult() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getPowerTwoSidedNE() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getPowerX() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
This method gets the current PowerX parameter.
getPowerY() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
This method gets the current PowerY parameter.
getPredicted() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getPredicted() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getPredicted() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getPredicted() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getPredicted() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getPredicted() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getPredicted() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getPredictedLowerBound() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getPredictedUpperBound() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getPredictor(Element) - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
getPredictor(Element) - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getPredictor(Element) - Method in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
getPreferredScrollableViewportSize() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
Gets the preferred size of the scrollable viewport.
getPreferredSize() - Method in class edu.uah.math.devices.Card
This method returns the preferred size.
getPreferredSize() - Method in class edu.uah.math.devices.Door
This method specifies the preferred size.
getPreferredSize() - Method in class edu.uah.math.devices.Parameter
This method sets the width of the preferred size to the specified value.
getPreferredSize() - Method in class edu.uah.math.devices.RouletteWheel
This method returns the preferred size.
getPreferredSize() - Method in class edu.ucla.loni.LOVE.colormap.ActiveBar
 
getPreferredSize() - Method in class edu.ucla.loni.LOVE.colormap.ColorBar
 
getPreferredSize() - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
 
getPreferredSize() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getPreferredSize() - Method in class edu.ucla.stat.SOCR.distributome.gui.LoadAndShowFormula
 
getPreferredSize() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasSimple
 
getPreferredSize() - Method in class edu.ucla.stat.SOCR.games.wavelet.basisCanvas
 
getPreferredSize() - Method in class edu.ucla.stat.SOCR.gui.GraphBase
 
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.Ball
This method specifies the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method specifies the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.BetaGraph
This method specifies the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.Card
This method specifies the preferred size of the card
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.Coin
This method specifies the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method specifiies the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.DataGraph
This method specifies the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.Die
Specify the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.Door
This method specifies the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.EstimateGraph
This method specifies the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method specifies the preferred size of the Galton board
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.Histogram
This method specifies the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.QuantileGraph
This method specifies the preferred size.
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.RandomVariableGraph
This method gets the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.RouletteWheel
 
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
Specify the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.Spinner
This method gets the preferred size of the spinner.
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.Timeline
This method specifies the preferred size
getPreferredSize() - Method in class edu.ucla.stat.SOCR.util.Triangle
This method specifies the preferred size
getPriorColor() - Method in class edu.uah.math.devices.BetaGraph
This method returns the color for the prior density graph
getProb() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getProbabilites(int) - Method in class edu.uah.math.devices.Voters
This method returns an individual probability.
getProbabilities() - Method in class edu.uah.math.devices.DiceBoard
This method returns the probability distribution.
getProbabilities(int) - Method in class edu.uah.math.devices.DiceBoard
This method returns an individual probability in the common probability distribution.
getProbabilities(int) - Method in class edu.uah.math.devices.Die
This method returns the probability of a specified face.
getProbabilities() - Method in class edu.uah.math.devices.Die
This method returns the probability distribution of the die.
getProbabilities() - Method in class edu.uah.math.devices.Forest
This method returns the array of fire spread probabilities.
getProbabilities(int) - Method in class edu.uah.math.devices.Forest
This method gets the fire spread probabilities.
getProbabilities() - Method in class edu.uah.math.devices.ProbabilityDialog
This method returns all of the probabilities.
getProbabilities(int) - Method in class edu.uah.math.devices.ProbabilityDialog
This method returns the probability of value i.
getProbabilities() - Method in class edu.uah.math.devices.QuantileTable
This method returns the array of probabilites.
getProbabilities() - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
This method returns the first row (probabilities)
getProbabilities() - Method in class edu.uah.math.devices.Spinner
This method returns the all of the probabilities.
getProbabilities(int) - Method in class edu.uah.math.devices.Spinner
This method returns an individual probability.
getProbabilities() - Method in class edu.uah.math.devices.TransitionMatrixDialog
This method returns the transition probability matrix.
getProbabilities() - Method in class edu.uah.math.devices.UrnChain
This method returns the transition matrix.
getProbabilities() - Method in class edu.uah.math.devices.Voters
This method gets the array of probabilities.
getProbabilities(int) - Method in class edu.uah.math.distributions.FiniteDistribution
This method gets the probability for a specified index.
getProbabilities() - Method in class edu.uah.math.distributions.FiniteDistribution
This method gets the entire array of probabilities.
getProbabilities(double[]) - Static method in class edu.uah.math.distributions.Functions
This method takes an array of numbers and returns a probability array (nonnegatie numbers that sum to 1).
getProbabilities() - Method in class edu.uah.math.distributions.MixtureDistribution
This method returns the array of probabilities.
getProbabilities() - Method in class edu.ucla.stat.SOCR.distributions.FiniteDistribution
This method gets the probability vector.
getProbabilities(double[]) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method takes an array of numbers and returns a probability array (nonnegatie numbers that sum to 1).
getProbabilities() - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method returns the array of probabilities.
getProbabilities() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This method gets the array of Multinomail parameters (probabilities[]).
getProbabilities() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
Returns the parameter gamma of this object.
getProbabilities() - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method returns the probability distribution of die 0.
getProbabilities() - Method in class edu.ucla.stat.SOCR.util.Die
This method returns the probability vector.
getProbabilities() - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
This method returns the probabilities.
getProbability() - Method in class edu.uah.math.devices.BallotGraph
This method gets the probability of the ballot event.
getProbability(int) - Method in class edu.uah.math.devices.BertrandFloor
This method gets the probability of the event that the chord is longer than the lenght of the triangle side.
getProbability() - Method in class edu.uah.math.devices.BetaGraph
This method returns the probability of success.
getProbability() - Method in class edu.uah.math.devices.Coin
This method gets the probability of heads.
getProbability() - Method in class edu.uah.math.devices.CoinBox
This method returns the probability of heads.
getProbability() - Method in class edu.uah.math.devices.CoinFloor
This method gets the probability of the cross event.
getProbability() - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method gets the theoretical probability.
getProbability() - Method in class edu.uah.math.devices.GaltonBoard
This method returns the probability of a step to the right.
getProbability() - Method in class edu.uah.math.devices.NeedleFloor
This method gets the probability of the cross event.
getProbability() - Method in class edu.uah.math.devices.RandomWalkGraph
This method returns the probability of a move in the positive direction.
getProbability(int, int) - Method in class edu.uah.math.devices.TransitionMatrixDialog
This method returns the probability of the i, j entry of the transition probability matrix.
getProbability() - Method in class edu.uah.math.distributions.BinomialDistribution
This method returns the probability of success.
getProbability() - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method returns the probability of success.
getProbability(double) - Static method in class edu.uah.math.distributions.Functions
This method takes a real number and converts it to a probability (a number between 0 and 1).
getProbability(int) - Method in class edu.uah.math.distributions.MixtureDistribution
This method returns a particular probability .
getProbability() - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method returns the probability parameter.
getProbability() - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method returns the probability parameter.
getProbability() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Get the probability of success
getProbability(int) - Method in class edu.ucla.stat.SOCR.distributions.FiniteDistribution
This method gets the probability for a specified index
getProbability(double) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method takes a real number and converts it to a probability (a number between 0 and 1).
getProbability(int) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method returns a particular probability .
getProbability(int[]) - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
getProbability(int, double[], int[]) - Static method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This method computes the density function of the Multinomail distribution
getProbability() - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Get the probability parameter
getProbability() - Method in class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This method returns the probability of a step to the right.
getProbability() - Method in class edu.ucla.stat.SOCR.util.BallotGraph
This method gets the probability of the ballot event
getProbability(int) - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method gets the probability of the chord event
getProbability() - Method in class edu.ucla.stat.SOCR.util.Coin
This method gets the probability of heads.
getProbability() - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method gets the probability of the cross event
getProbability(int) - Method in class edu.ucla.stat.SOCR.util.Die
This method returns the probability of face i.
getProbability(int) - Method in class edu.ucla.stat.SOCR.util.Forest
This method gets the fire spread probabilities.
getProbability() - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
Get the probability of the cross event
getProbability(int) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
This method returns the probability of value i
getProbability() - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method gets the probability of a move to the right.
getProportion(int) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method gets the H/(H+T) proportion at a specified time index.
getProportion() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
getProportion() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
getProvenanceNode() - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Gets the parsed provenance data.
getPSD() - Method in class edu.uah.math.distributions.Data
This method gets the standard deviation of the data set treated as a population.
getPValue() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getPValue() - Method in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
getPValue() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getPValue() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getPValue() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
getPValueGroup() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getPValueOneSided() - Method in class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
getPValueOneSided() - Method in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
getPValueOneSided() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
get MeanU when using the exact method.
getPValueOneSided() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
getPValueOneSided() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
getPValueOneSidedPooled() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getPValueOneSidedUnpooled() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getPValueTwoSided() - Method in class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
getPValueTwoSided() - Method in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
getPValueTwoSided() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
getPValueTwoSided() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
getPValueTwoSided() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
getPValueTwoSidedPooled() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getPValueTwoSidedUnpooled() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getPVariance() - Method in class edu.uah.math.distributions.Data
This method returns the variance of the data set treated as a population.
getQQChart(String, String, String, String, double[], double[], String, double, double, String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Chart
 
getQQChart(String, String, String, String, double[], double[], String, double, double, String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator
 
getQQSummary(int) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
return both X and Y Summary
getQuantile() - Method in class edu.uah.math.devices.QuantileGraph
This method returns the quantile.
getQuantile(int) - Method in class edu.uah.math.devices.QuantileTable
This method returns the quantile corresponding to a given index.
getQuantile(double) - Method in class edu.uah.math.distributions.CauchyDistribution
This method computes the quantile function in closed form.
getQuantile(double) - Method in class edu.uah.math.distributions.CircleDistribution
This method computes the quantile function in terms of the radius parameter.
getQuantile(double) - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method computes the quantile function in terms of the parameters.
getQuantile(double) - Method in class edu.uah.math.distributions.Distribution
This method computes an approximate quantile function.
getQuantile(double) - Method in class edu.uah.math.distributions.ExponentialDistribution
The method computes the quantile function.
getQuantile(double) - Method in class edu.uah.math.distributions.ExtremeValueDistribution
This method returns the quantile function
getQuantile(double) - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method returns the quantile function of the location-scale distribution in terms of the quantile function of the given distribution and the location and scale parameters.
getQuantile(double) - Method in class edu.uah.math.distributions.LogisticDistribution
This method comptues the quantile function.
getQuantile(double) - Method in class edu.uah.math.distributions.ParetoDistribution
This method computes the quantile function.
getQuantile(double) - Method in class edu.uah.math.distributions.WeibullDistribution
This method returns the quantile function
getQuantile(double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method computes an approximate getQuantile function.
getQuantile(double) - Method in class edu.ucla.stat.SOCR.distributions.CauchyDistribution
This method computes the quantile function.
getQuantile(double) - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method computes the getQuantile function.
getQuantile(double) - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
The method defines the getQuantile function
getQuantile(double) - Method in class edu.ucla.stat.SOCR.distributions.LocationScaleDistribution
This method returns the getQuantile function
getQuantile(double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
This method comptues the getQuantile function
getQuantile(double) - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
This method computes the getQuantile function
getQuantile(double) - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
getQuantile(double) - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method returns the getQuantile function
getQuantileArray(double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getQuantiles() - Method in class edu.uah.math.devices.QuantileTable
This method returns the array of quantiles.
getQuartile(int) - Method in class edu.uah.math.distributions.IntervalData
This method returns the quartiles of the data set.
getQuartile(int) - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the quartiles of the data set.
getRadius() - Method in class edu.uah.math.devices.CoinFloor
This method gets the coin radius,
getRadius() - Method in class edu.uah.math.devices.CoinScatter
This method gets the radius.
getRadius() - Method in class edu.uah.math.devices.GaltonBoard
This method returns the radius of the pegs and the ball.
getRadius() - Method in class edu.uah.math.distributions.CircleDistribution
This method returns the radius parameter.
getRadius() - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
This method returns the radius parameter.
getRadius() - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method gets the coin radius
getRadius() - Method in class edu.ucla.stat.SOCR.util.CoinScatter
This method gets the radius
getRAnalysisResult(PrintWriter, String) - Method in class edu.ucla.stat.SOCR.servlet.analyses.RInterface
 
getRandomExample() - Method in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentTExamples
 
getRandomExample() - Method in class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
 
getRandomVariable() - Method in class edu.uah.math.devices.RandomVariableGraph
This method returns the random variable associated with the graph.
getRandomVariable() - Method in class edu.uah.math.devices.RandomVariableTable
This method returns the random variable.
getRandomVariable() - Method in class edu.ucla.stat.SOCR.util.RandomVariableGraph
This method returns the random variable associated with the graph.
getRangeBounds(boolean) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the range of values in the range (y-values).
getRangeLowerBound() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the minimum range value.
getRangeLowerBound(boolean) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the lower bound for the range.
getRangeUpperBound() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the maximum range value.
getRangeUpperBound(boolean) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the upper bound for the range.
getRank() - Method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
getRankArray() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getRankedArray() - Method in class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
getRankedArray() - Method in class edu.ucla.stat.SOCR.analyses.data.KruskalWallisTest
 
getRankedArray() - Method in class edu.ucla.stat.SOCR.analyses.data.WilcoxonRankTest
 
getRankGrandAverage() - Method in class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
getRankGroupAverage() - Method in class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
getRankGroupSum() - Method in class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
getRankSumLargerGroup() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
get the sum of the ranks of the larger group.
getRankSumList() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getRankSumSmallerGroup() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
get the sum of the ranks of the smaller group.
getRate() - Method in class edu.uah.math.distributions.ExponentialDistribution
This method gets the rate.
getRate() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This method gets the rate
getRawData() - Method in class edu.ucla.stat.SOCR.util.NormalCurve
 
getRealRowIndex(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.FilteredTableModel
Returns row index in original TableModelMapping.model by index in current model (view index).
getRealRowIndex(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Returns row index in original TableModelMapping.model by index in current model (view index).
getRecordTable() - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
This method returns the record table
getRedMap() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get Red map
getRedMap() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get red map
getRef() - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Get the reference.
getRefCount() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getRefCount() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getRefCount() - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
getReferences() - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
getRefId(int) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getRefId(int) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getRefModels() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
 
getRefString() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getRefString() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getRefTableModels() - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
getRegressorNode(String) - Method in class edu.ucla.stat.SOCR.analyses.xml.AnalysisOutput
 
getRelFreq(double) - Method in class edu.uah.math.distributions.IntervalData
This method returns the relative frequency of the class containing a given value.
getRelFreq(double) - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the relative frequency of the class containing a given value.
getRelFreqArray() - Method in class edu.ucla.stat.SOCR.util.Frequency
 
getRenderer() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
 
getResearch() - Method in class edu.ucla.stat.SOCR.core.Modeler
return the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
return the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
return the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
Returns the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
Returns the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
Returns the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
return the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
Returns the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
return the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
return the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
Returns the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
return the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
Returns the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
return the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
return the references for this modeler
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
getResearch() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
return the references for this modeler
getResidualNormalQuantiles(double[], int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getResiduals() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getResiduals() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getResiduals() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getResource(String) - Method in class edu.ucla.stat.SOCR.util.JarResources
Extracts a jar resource as a blob.
getResult() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.JRIAnalysisType
 
getResult() - Method in class edu.ucla.stat.SOCR.analyses.ri.RIAnalysisType
 
getResultHypothesisType() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getResultsTable() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BallotExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BertrandExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BetaCoinExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BetaEstimateExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BirthdayExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BivariateNormalExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BivariateUniformExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BuffonCoinExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.BuffonNeedleExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.CardExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.ChuckALuckExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.CoinDieExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.CoinSampleExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.CrapsExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.DiceExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.DiceSampleExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.DieCoinExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.Experiment
 
getResultTable() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.FireExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.GammaEstimateExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.GammaExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.MarkovChainExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.MatchExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.MeanEstimateExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.MeanTestExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.MontyHallExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.NormalEstimateExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.OrderStatisticExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.ParetoEstimateExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.PointExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.Poisson2DExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.PoissonExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.PokerDiceExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.PokerExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.ProportionTestExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.RandomVariableExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.RandomWalkExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.RedBlackExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.RouletteExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.SampleMeanExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.SignTestExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.SpinnerExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.TriangleExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.Uniform_E_EstimateExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.UniformEstimateExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.UrnExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.VarianceTestExperiment
 
getResultTable() - Method in class edu.uah.math.experiments.VoterExperiment
 
getResultTable() - Method in class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
getResultTable() - Method in class edu.ucla.stat.SOCR.applications.Application
 
getResultTable() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
getResultTable() - Method in class edu.ucla.stat.SOCR.core.Experiment
 
getResultTable() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
 
getResultXML() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.JRIAnalysisType
 
getResultXML() - Method in class edu.ucla.stat.SOCR.analyses.ri.RIAnalysisType
 
getReturnStatus() - Method in class edu.ucla.stat.SOCR.gui.OKDialog
 
getReturnStatus() - Method in class edu.ucla.stat.SOCR.util.OKDialog
 
getRight() - Method in class edu.uah.math.devices.BetaGraph
This method returns the right beta parameter.
getRight() - Method in class edu.uah.math.distributions.BetaDistribution
This method gets the right parameter.
getRight() - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
Get the right parameter
getRight() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Get the right parameter
getRight() - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
 
getRight() - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Get the right parameter
getRight() - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Get the right parameter
getRight() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Get the right parameter
getRightCDF() - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
getRightCDF() - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
getRightCDF() - Method in class edu.ucla.stat.SOCR.core.MGFGraphPanel
 
getRightCDF() - Method in class edu.ucla.stat.SOCR.core.PGFGraphPanel
 
getRightCutOff() - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
getRightCutOff() - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
getRightCutOffValue() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
getRightCutOffValue() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getRightCutOffValue() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getRightLimit() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Get the right LIMIT
getRightMargin() - Method in class edu.uah.math.devices.Graph
This method gets the right margin.
getRoot(String) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
getRow() - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method returns the row posiiton of the ball
getRowComparator() - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Returns RowComparator used to sort table rows.
getRowCount() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Returns the number of rows in the model.
getRowCount() - Method in class edu.ucla.stat.SOCR.util.tablemodels.FilteredTableModel
 
getRowFilter() - Method in class edu.ucla.stat.SOCR.util.tablemodels.FilteredTableModel
Returns RowFilter used to filter table rows.
getRowHeaderModel() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
getRowHeaderTable() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
getRowNames() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getRowNames() - Method in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
getRowNames() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
getRows() - Method in class edu.uah.math.devices.CellGrid
This method returns the number of rows in the cell grid.
getRows() - Method in class edu.uah.math.devices.Forest
This method gets the number of rows in the forest lattice.
getRows() - Method in class edu.uah.math.devices.GaltonBoard
This method returns the number of rows.
getRows() - Method in class edu.uah.math.devices.Voters
This method returns the number of rows.
getRows() - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method returns the number of rows
getRowSum() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getRowSum() - Method in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
getRowSum() - Method in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
getRowSumObserved() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
getRSquare() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getRSquare() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getRSquare() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getRSquare() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getRSSError() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
Error (within) mean sum of squares.
getRSSGroup() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
getRSSModel() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
Model (between) mean sum of squares.
getRSSTotal() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
Corrected total mean sum of squares.
getSample(int[], int, int) - Static method in class edu.uah.math.distributions.Functions
This method computes a sample of a specified size from a specified population and of a specified type (with or without replacement).
getSample(int, int, int) - Static method in class edu.uah.math.distributions.Functions
This method computes a sample of a specified size from a population of the form 1, 2, ..., m
getSample(int[], int, int) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method computes a sample of a specified size from a specified population and of a specified type (with or without replacement).
getSample(int, int, int) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method computes a sample of a specified size from a population of the form 1, 2, ..., m
getSampleData() - Method in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
Accessors
getSampleData() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getSampleData() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getSampleEize() - Method in class edu.ucla.stat.SOCR.analyses.data.DataFrame
 
getSampleMean() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getSampleMean() - Method in class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
getSampleMean() - Method in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
getSampleMeanInput() - Method in class edu.ucla.stat.SOCR.analyses.result.OneTResult
Accessors
getSampleMeanInput() - Method in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
Accessors
getSampleMoment(int, double[]) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns the n-th sample moment of a data series
getSampleProportion() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getSampleProportionP() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
Accessors
getSampleProportionQ() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getSampleSEP() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getSampleSEQ() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getSampleSize() - Method in class edu.uah.math.distributions.BirthdayDistribution
This method returns the sample size.
getSampleSize() - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method returns the sample size.
getSampleSize() - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method gets the sample size.
getSampleSize() - Method in class edu.uah.math.distributions.OrderStatisticDistribution
This method returns the sample size.
getSampleSize() - Method in class edu.uah.math.experiments.EstimateExperiment
This method returns the sample size.
getSampleSize() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getSampleSize() - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getSampleSize() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getSampleSize() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getSampleSize() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getSampleSize() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getSampleSize() - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This method returns the sample size
getSampleSize() - Method in class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This method returns the sampleSize.
getSampleSize() - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Get sample size
getSampleSize() - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Get sample size
getSampleSize() - Method in class edu.ucla.stat.SOCR.experiments.EstimateExperiment
This method returns the sample size
getSampleSize() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
getSampleSize() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
 
getSampleSize() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getSampleSizeResult() - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
getSampleSizes() - Method in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
getSampleVariance() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getSampleVariance() - Method in class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
getSampleVariance() - Method in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
getSampleVariance() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
getSampleVarianceX() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getSampleVarianceY() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getScale() - Method in class edu.uah.math.distributions.GammaDistribution
This method returns the scale parameter.
getScale() - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method gets the scale parameter
getScale() - Method in class edu.uah.math.distributions.LogNormalDistribution
This method gets the scale parameter of ln(Y).
getScale() - Method in class edu.uah.math.distributions.NormalDistribution
This method gets the scale parameter.
getScale() - Method in class edu.uah.math.distributions.WeibullDistribution
This method returns the scale parameter.
getScale() - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Get the scale paramter
getScale() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Get the scale paramter
getScale() - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Get the right parameter
getScale() - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
Get scale parameters
getScale() - Method in class edu.ucla.stat.SOCR.distributions.GompertzDistribution
Get scale parameters
getScale() - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
Get scale parameters
getScale() - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This method returns the scale
getScale() - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
Get the right parameter
getScale() - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Get the scale paramter
getScale() - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method returns the scale parameter
getScore() - Method in class edu.uah.math.devices.RouletteWheel
This method returns the current score.
getScore(int) - Method in class edu.uah.math.devices.RouletteWheel
This method returns the score corresponding to a given index.
getScore() - Method in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
getScore() - Method in class edu.ucla.stat.SOCR.util.RouletteWheel
 
getScoreColor(int) - Method in class edu.uah.math.devices.RouletteWheel
This method returns the color of a given score.
getScoreColor() - Method in class edu.uah.math.devices.RouletteWheel
This method returns the color of the current score.
getScoreIndex() - Method in class edu.uah.math.devices.RouletteWheel
This method returns the index of the current score.
getScoreX(int) - Method in class edu.uah.math.devices.RouletteWheel
This method returns the x-coordinate of the upper left corner of the slot corresponding to a given score.
getScoreY(int) - Method in class edu.uah.math.devices.RouletteWheel
This method returns the y-coordinate of the upper left corner of the slot corresponding to a given score.
getScrollableBlockIncrement(Rectangle, int, int) - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
Gets the scroll increment that will completely expose one new block of rows or columns, depending upon the value of the orientation.
getScrollableTracksViewportHeight() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
Determines if a viewport should always force the height of this Scrollable to match the height of the viewport.
getScrollableTracksViewportWidth() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
Determines if a viewport should always force the width of this Scrollable to match the width of the viewport.
getScrollableUnitIncrement(Rectangle, int, int) - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
Gets the scroll increment that will completely expose one new row or column, depending upon the value of the orientation.
getSD() - Method in class edu.uah.math.distributions.Data
This method gets the sample standard deviation of the data set treated as a sample.
getSD() - Method in class edu.uah.math.distributions.Distribution
This method returns the standard deviation, as the square root of the variance.
getSD() - Method in class edu.uah.math.distributions.IntervalData
This method returns the standard deviation of the data set treated as a sample (that is, the sum is divided by n − 1 where n is the number of points.
getSD() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns the standard deviation, as the square root of the variance
getSD() - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Specify the SD in close form
getSD() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Specify the SD in close form
getSD() - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Compute the variance in closed form
getSD() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Compute the variance in closed form
getSD() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
Compute the variance in closed form
getSD() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method returns the SD http://en.wikipedia.org/wiki/Generalized_extreme_value_distribution
getSD() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the sample standard deviation.
getSD() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method returns the Johnson SU SD http://www.mathwave.com/articles/johnson_su_distribution.html
getSD() - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Compute the variance in closed form
getSD() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Compute the variance in closed form
getSD() - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Compute the variance in closed form
getSD() - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method computes the Standard Diviation
getSD() - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
This method returns the SD
getSD() - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method computes the Standard Diviation
getSD1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getSD2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getSDP() - Method in class edu.uah.math.distributions.IntervalData
This method returns the standard deviation of the data set treated as a population (that is, the sum is divided by the number of points n rather than n − 1).
getSDP() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the population standard deviation.
getSDPredict() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getSDPredicted() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getSDResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getSDs() - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
This method returns the second row (of Standard Deviations for all Distributions in the mixture)
getSDX() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getSDY() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getSegmentedPoints() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
getSelectedClassName() - Method in class edu.ucla.stat.SOCR.core.SOCRJComboBox
use this class to get Selected Implement Class
getSerieName(int) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
 
getSeriesCount() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset
Returns the number of series in the dataset.
getSeriesCount() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the number of series in the dataset.
getSeriesCount() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYZDataset
Returns the number of series in the dataset.
getSeriesCount() - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Returns the number of series in the dataset.
getSeriesCount() - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Returns the number of series in the dataset.
getSeriesCount() - Method in class edu.ucla.stat.SOCR.chart.data.Summary
 
getSeriesCount() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the number of series in the dataset.
getSeriesKey(int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset
Returns the key for a series.
getSeriesKey(int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the key for the series.
getSeriesKey(int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYZDataset
Returns the key for a series.
getSeriesKey(int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Returns the key for a series.
getSeriesKey(int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Returns the key for a series.
getSeriesKey(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the key for a series.
getSeriesPanel(JDialog, ChartMouseEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMouseListener
 
getSeriesSummary(int) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
return serie summary this is also for getting Y summary for XYDataset
getSeriesVisible(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Returns the flag that controls whether a series is visible.
getSet() - Method in class edu.ucla.stat.SOCR.util.Frequency
 
getShape() - Method in class edu.uah.math.distributions.GammaDistribution
This method returns the shape parameter.
getShape() - Method in class edu.uah.math.distributions.WeibullDistribution
This method returns the shape parameter.
getShape() - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Get the shape parameter
getShape() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Get the shape parameter
getShape() - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
Get shape parameters
getShape() - Method in class edu.ucla.stat.SOCR.distributions.GompertzDistribution
Get shape parameters
getShape() - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
Get shape parameters
getShape() - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Get the shape parameter
getShape() - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This method returns the shape
getShape() - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Get the shape parameter
getShape() - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method returns the shape parameter
getShift() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This method gets the shift
getShift() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
 
getShifte() - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Get Shift
getShortName(int) - Method in class edu.ucla.stat.SOCR.distributome.data.Type
 
getShortName(int[]) - Method in class edu.ucla.stat.SOCR.distributome.data.Type
 
getShow() - Method in class edu.uah.math.devices.CellGrid
This method gets the show parameter.
getSideLength() - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
 
getSigma() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
Get sigma
getSigma() - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method gets sigma
getSigma() - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This method gets the scale parameter
getSigma() - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method gets sigma
getSigma() - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method gets the scale parameter
getSigma() - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method returns the SIGMA value.
getSign() - Method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
getSignificanceLevel() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getSignificanceLevel() - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getSingleGroupSize() - Method in class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
getSingleGroupSize() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getSize(int) - Method in class edu.uah.math.devices.Stick
This method returns the length of the sides, in increasing order.
getSize() - Method in class edu.uah.math.distributions.Data
This method gets the number of points in the data set.
getSize() - Method in class edu.uah.math.distributions.Domain
This method returns the size of the partition (the number of subintervals).
getSize() - Method in class edu.uah.math.distributions.FiniteDistribution
This method returns the size (the number of values).
getSize() - Method in class edu.uah.math.distributions.IntervalData
This method returns the number of points in the data set.
getSize() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get size of this colormap.
getSize() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get the size of the colormap.
getSize() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
getSize() - Method in class edu.ucla.stat.SOCR.distributions.Domain
This method returns the size of the partition (the number of subintervals)
getSize() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the number of pointCount in the data set
getSize(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the size for the specified item in the series.
getSize(int) - Method in class edu.ucla.stat.SOCR.util.Triangle
This method returns the length of the i'th side, in increasing order
getSizeLabel() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the size label for the dataset.
getSizeMapping() - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
getSizeOffset() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
getSlider() - Method in class edu.uah.math.devices.Parameter
This method returns the slider.
getSlope() - Method in class edu.uah.math.devices.UserScatterPlot
This method returns the slope of the regression line between the x data and the y data.
getSlope() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getSlope() - Method in class edu.ucla.stat.SOCR.util.RegressionLine
 
getSOCRAppletCodeBase() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
getSOCRAppletCodeBase() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
getSOCRDistributionFunctors() - Method in class edu.ucla.stat.SOCR.core.Distribution
 
getSOCRDistributions() - Method in class edu.ucla.stat.SOCR.core.Distribution
 
getSOCRTextArea() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
getSortedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getSortedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getSortedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getSortedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getSortedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getSortedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getSortedRedidual(double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getSortedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getSortedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getSortedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getSortedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getSortedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getSortedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getSortedResidualsIndex() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getSortedResidualsIndex() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getSortedResidualsIndex() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getSortedResidualsIndex() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getSortedResidualsIndex() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getSortedResidualsIndex() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getSortedStandardizedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getSortedStandardizedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getSortedStandardizedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getSortedStandardizedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getSortedStandardizedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getSortedStandardizedNormalQuantiles() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getSortedStandardizedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
getSortedStandardizedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
getSortedStandardizedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
getSortedStandardizedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
getSortedStandardizedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
getSortedStandardizedResiduals() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getSortedTimeSet() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
getSortingColumnIndexes() - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Returns array that contains sorted columns indexes.
getSortingColumns() - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Returns list with sorted columns info.
getSortingColumnsCount() - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Returns the number of sorting columns.
getSourceId() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getSpotColor() - Method in class edu.uah.math.devices.DiceBoard
This method returns the common spot color
getSpotColor() - Method in class edu.uah.math.devices.Die
The method gets the spot color.
getSpotColor() - Method in class edu.ucla.stat.SOCR.util.Die
The method gets the spot color
getSpread() - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Compute the Spread in closed form
getSSqaured() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getStandardizedResidual(DataCase[], int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getStandardizedResidual(double[], int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getStandardNormalQuantile(int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getStartX(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Returns the starting X value for the specified series and item.
getStartX(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Returns the starting X value for the specified series and item.
getStartY(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Returns the starting Y value for the specified series and item.
getStartY(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Returns the starting Y value for the specified series and item.
getStat(String, float[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
getState() - Method in class edu.uah.math.devices.UrnChain
This method returns the current state
getState(int, int) - Method in class edu.ucla.stat.SOCR.util.Voters
This method returs the state of a specified voter.
getStateColor() - Method in class edu.uah.math.devices.UrnChain
This method gets the state color, the color of the current state.
getStateCount(int) - Method in class edu.uah.math.devices.Voters
This method returns the number of voters in a specified state.
getStates() - Method in class edu.uah.math.devices.Forest
This method gets the array of states.
getStates(int, int) - Method in class edu.uah.math.devices.Forest
This method gets the state of an individual tree.
getStates(int, int) - Method in class edu.uah.math.devices.Voters
This method returns the state of a specified voter.
getStates() - Method in class edu.uah.math.devices.Voters
This method returns the array of states.
getStatesAlive() - Method in class edu.uah.math.devices.Voters
This method returns the number of states alive (that is, at least one voter has this state.
getStaticExample(short, short) - Static method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
getStatisticsType() - Method in class edu.uah.math.devices.DataTable
This method returns the statistics type.
getStatisticsType() - Method in class edu.uah.math.devices.Histogram
This method returns the type of boxplot.
getStatisticsType() - Method in class edu.uah.math.devices.RandomVariableTable
This method returns the type variable for the type of statistics that are displayed.
getStats(float[], float[]) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
getStdDensity(double) - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
Define the Standard Muth Density function
getStdDev() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getStdDev() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getSteps() - Method in class edu.uah.math.devices.Parameter
This method gets the number of steps.
getSteps() - Method in class edu.uah.math.devices.RandomWalkGraph
This method gets the time parameter.
getSteps() - Method in class edu.uah.math.distributions.DiscreteArcsineDistribution
This method gets the steps, the number of steps.
getSteps() - Method in class edu.uah.math.distributions.WalkMaxDistribution
This method returns the time parameter.
getSteps() - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method returns the number of steps in the random walk.
getSteps() - Method in class edu.ucla.stat.SOCR.distributions.WalkMaxDistribution
This method returns the number ofsteps.
getSteps() - Method in class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This method returns the number of steps.
getSteps() - Method in class edu.ucla.stat.SOCR.util.ParameterScrollbar
Get the number of steps
getStepSize() - Method in class edu.uah.math.devices.Parameter
This method gets the step size of the parameter.
getStepSize() - Method in class edu.ucla.stat.SOCR.util.ParameterScrollbar
Get the step size
getStickColor() - Method in class edu.uah.math.devices.Stick
This methd returns the stick color.
getStopChoice() - Method in class edu.uah.math.experiments.Experiment
This method returns the stop choice.
getStopChoice() - Method in class edu.ucla.stat.SOCR.core.Experiment
This method returns the stop choice.
getStopFreq() - Method in class edu.uah.math.experiments.Experiment
This method returns the stop frequency.
getStopFreq() - Method in class edu.ucla.stat.SOCR.applications.Application
 
getStopFreq() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
This method returns the stop frequency
getStopFreq() - Method in class edu.ucla.stat.SOCR.core.Experiment
This method returns the stop frequency
getStopFreq() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
This method returns the stop frequency
getStorage() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getStringArray() - Method in class edu.ucla.stat.SOCR.analyses.data.Column
 
getStringAttachment() - Method in class edu.ucla.stat.SOCR.servlet.util.ClientObject
 
getStringAttachment() - Method in class edu.ucla.stat.SOCR.servlet.util.ServerObject
 
getStringFromDocument(Document) - Static method in class edu.ucla.stat.SOCR.servlet.analyses.RInterface
 
getStudentTCriticalPoint(double, int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
getStudentTCriticalPoint95CI(int) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
getSubset() - Method in class edu.uah.math.devices.GaltonBoard
This method returns the subset of {1, 2, ..., n} (where n is the number of rows) that corresponds to the path of the ball through the Galton board, up to the current ball location.
getSubset() - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method returns the subset that corresponds to the path of the ball through the Galton board
getSuccesses() - Method in class edu.uah.math.devices.BetaGraph
This method returns the number of successes.
getSuccesses() - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method returns the successes parameter.
getSuccesses() - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Get the successes parameter
getSuit() - Method in class edu.uah.math.devices.Card
This method gets the suit of the card.
getSuit() - Method in class edu.ucla.stat.SOCR.util.Card
This method gets the suit of the card: 0 for clubs, 1 for diamonds, 2 for hearts, and 3 for spades.
getSuits() - Method in class edu.uah.math.devices.CardHand
This method returns the array of suits.
getSuits(int) - Method in class edu.uah.math.devices.CardHand
This method returns the suit of an individual card
getSum() - Method in class edu.uah.math.devices.DiceBoard
This method returns the sum of the scores of the first n dice.
getSum(int) - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method returns the sum of the scores of the first n dice.
getSum() - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method returns the sum of all of the dice.
getSumSquares() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
getSumXvalues() - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
This method returns the Sum of X-values
getSurvivalAtRisk() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getSurvivalAtRiskArray() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
getSurvivalGroupNames() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getSurvivalLowerCI() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getSurvivalRate() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
getSurvivalRate() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getSurvivalRateArray() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
getSurvivalResult(double[], byte[], String[]) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getSurvivalResult(double[], byte[], String[]) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getSurvivalResult() - Method in class edu.ucla.stat.SOCR.analyses.model.Survival
 
getSurvivalSE() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getSurvivalSEArray() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
getSurvivalTime() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
Accessors
getSurvivalTimeArray() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
getSurvivalTimeList() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getSurvivalUpperCI() - Method in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
getSymbol() - Method in class edu.uah.math.devices.Parameter
This method returns the symbol
getTable() - Method in class edu.uah.math.devices.QuantileTable
This method returns the underlying JTable.
getTable() - Method in class edu.uah.math.devices.RandomVariableTable
This method returns the underlying JTable.
getTable() - Method in class edu.uah.math.devices.RecordTable
This method returns the underlying JTable.
getTable() - Method in class edu.uah.math.devices.SampleTable
This method returns the underlying JTable.
getTable() - Method in class edu.uah.math.devices.StatisticsTable
This method returns the underlying JTable.
getTable() - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
returns a JTable object containing the Example Data
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class edu.ucla.stat.SOCR.util.RowHeaderRenderer
 
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.renderers.DefaultImageCellRenderer
Returns the default table cell renderer.
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.renderers.DefaultTextCellRenderer
Returns the default table cell renderer.
getTableCellRendererComponent(JTable, Object, boolean, boolean, int, int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableHeaderRenderer
Returns the component used for drawing the cell.
getTableModel() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the table model for the dataset.
getTableModel() - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
getTableModel() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
getTableVal(int) - Method in class edu.ucla.stat.SOCR.util.SOCRJTable
 
getTableXYAreaChart(String, String, String, JTable, int, int[][], String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
given XY data, this method will generate a stacked Area Chart
getTailColor() - Method in class edu.uah.math.devices.Coin
This method gets the tail color.
getTailColor() - Method in class edu.uah.math.devices.CoinBox
This method returns the tail color.
getTailColor() - Method in class edu.ucla.stat.SOCR.util.Coin
This method gets the tail color
getTailCount() - Method in class edu.uah.math.devices.CoinBox
This method returns the number of tails
getTails(int) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method returns the Tails up to index (ind).
getTails() - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method returns the total number of Tails.
getTargetId() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getTestColor() - Method in class edu.uah.math.devices.MeanTestGraph
This method returns the mean color.
getTestColor() - Method in class edu.uah.math.devices.MedianGraph
This method returns the color for the test medain.
getTestMean() - Method in class edu.uah.math.devices.MeanTestGraph
This method returns the test mean.
getTestMedian() - Method in class edu.uah.math.devices.MedianGraph
This method returns the test median.
getTestSD() - Method in class edu.uah.math.devices.VarianceTestGraph
This method returns the test standard deviation.
getText() - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Returns text that holds by this wrapper.
getTextColor() - Method in class edu.uah.math.devices.Ball
This method gets the text color.
getTextColor() - Method in class edu.uah.math.devices.Coin
This method gets the text color.
getTextColor() - Method in class edu.uah.math.devices.CoinBox
This method returns the tail color.
getTextPanel() - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
getTexture() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
getTexture() - Method in class edu.ucla.stat.SOCR.analyses.result.Result
 
getTextValue(Element, String) - Static method in class edu.ucla.stat.SOCR.analyses.xml.DomParserUtility
 
getThirdQuartile1() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getThirdQuartile2() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getThreshold() - Method in class edu.ucla.stat.SOCR.analyses.command.volume.FDR
 
getThresholdedArray() - Method in class edu.ucla.stat.SOCR.analyses.command.volume.FDR
 
getThresholdedArrayNP() - Method in class edu.ucla.stat.SOCR.analyses.command.volume.FDR
 
getTieArray() - Method in class edu.ucla.stat.SOCR.analyses.data.FriedmanTest
 
getTieArray() - Method in class edu.ucla.stat.SOCR.analyses.data.KruskalWallisTest
 
getTieArray() - Method in class edu.ucla.stat.SOCR.analyses.data.WilcoxonRankTest
 
getTieMap() - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
getTime(int) - Method in class edu.uah.math.devices.Timeline
This method returns the time at a specified index.
getTime() - Method in class edu.uah.math.devices.UrnChain
This method returns the current time.
getTime() - Method in class edu.uah.math.experiments.Experiment
This method gets the time parameter of the stochastic process.
getTime() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalObject
 
getTime() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method gets the time parameter of the analysis process.
getTime() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method gets the time parameter of the analysis process.
getTime() - Method in class edu.ucla.stat.SOCR.applications.Application
 
getTime() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
getTime() - Method in class edu.ucla.stat.SOCR.core.Experiment
This method gets the time parameter of the stochastic process.
getTime() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
This method gets the time parameter of the stochastic process.
getTimer() - Method in class edu.uah.math.experiments.Experiment
This method returns the timer.
getTimes() - Method in class edu.uah.math.devices.Timeline
This method returns the entire vector of times.
getTimeSeriesResult(String[]) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
getTitle() - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
getTitle() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Returns the main chart title.
getTitle() - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
getTopestParent(Component) - Static method in class edu.ucla.stat.SOCR.util.GUIUtil
Gets the toppest parent of a component.
getTopMargin() - Method in class edu.uah.math.devices.Graph
This method gets the top margin.
getTotal() - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method returns the total number of experiments (H + T).
getTotal() - Method in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
Accessors
getTotalCount() - Method in class edu.ucla.stat.SOCR.util.BallotGraph
This method returns the total count
getTotalCount() - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
getTotalFormatter() - Method in class edu.ucla.stat.SOCR.chart.gui.ExtendedStackedBarRenderer
Returns the total formatter.
getTotalMeanScore() - Method in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
getTranslate() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset
Returns the translation factor.
getTree() - Method in class edu.ucla.stat.SOCR.chart.ChartTree
 
getTree() - Method in class edu.ucla.stat.SOCR.chart.ChartTree_dynamic
 
getTreeObjectX(String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getTreeObjectY(String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getTreeX() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getTreeY() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getTrials() - Method in class edu.uah.math.devices.BetaGraph
This method gets the number of trials.
getTrials() - Method in class edu.uah.math.distributions.BinomialDistribution
This method returns the number of trials.
getTrials() - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Get the number of trials
getTrials() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Get the number of trials
getTriangleColor() - Method in class edu.uah.math.devices.BertrandFloor
This method returns the color of the triangle.
getTStat() - Method in class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
getTStat() - Method in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
getTStat() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
getTStat() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
getTStatPooled() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getTStatUnpooled() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
getType() - Method in class edu.uah.math.devices.Stick
This method returns the type of triangle.
getType() - Method in class edu.uah.math.distributions.Distribution
This method returns the type of the distribution (discrete or continuous).
getType() - Method in class edu.uah.math.distributions.Domain
This method returns the type of the domain (DISCRETE or CONTINUOUS).
getType() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns the type of the distribution (discrete or continuous)
getType() - Method in class edu.ucla.stat.SOCR.distributions.Domain
This method returns the type of the domain (DISCRETE or CONTINUOUS).
getType(int) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getType(int) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getType() - Method in class edu.ucla.stat.SOCR.util.Triangle
 
getType1Size() - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method gets the number of type 1 elements.
getType1Size() - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Get sub-population size
getType1Size() - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Get sub-population size
getTypeCount() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getTypeCount() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getTypeCount() - Method in class edu.ucla.stat.SOCR.distributome.data.Type
 
getTypeString() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
getTypeString() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getUMeanFormula() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
getUnderColor() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get under color.
getUnderColor() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get under color.
getUpdateChoice() - Method in class edu.uah.math.experiments.Experiment
This method returns the update choice.
getUpdateChoice() - Method in class edu.ucla.stat.SOCR.core.Experiment
This method returns the update choice.
getUpperBound() - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method returns the upper bound of the domain.
getUpperBound() - Method in class edu.uah.math.distributions.Domain
This method returns the upper bound of the domain.
getUpperBound() - Method in class edu.uah.math.distributions.TriangleDistribution
This method returns the upper bound.
getUpperBound() - Method in class edu.ucla.stat.SOCR.distributions.Domain
This method returns the upper bound
getUpperCIArray() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
getUpperCritical() - Method in class edu.uah.math.devices.CriticalGraph
This method gets the upper critical value.
getUpperEstimate() - Method in class edu.uah.math.devices.MeanEstimateGraph
This method returns the upper estiamte.
getUpperEstimate() - Method in class edu.uah.math.devices.VarianceEstimateGraph
This method returns the upper estimate.
getUpperLimit() - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Get upper limit.
getUpperLimit() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Gets the upper limit.
getUpperLimit() - Method in class edu.ucla.stat.SOCR.core.Modeler
return the allowaable x limit values.
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
getUpperLimit() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
getUpperP() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getUpperQ() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getUpperTime(int) - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method gets the time parameter.
getUpperValue() - Method in class edu.uah.math.distributions.Domain
This method returns the upper midpoint of the domain.
getUpperValue() - Method in class edu.uah.math.distributions.FiniteDistribution
This method returns the lower value.
getUpperValue() - Method in class edu.ucla.stat.SOCR.distributions.Domain
This method returns the upper midpoint
getURL() - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
getUrl() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
getUserName() - Method in class edu.ucla.stat.SOCR.servlet.util.ClientObject
 
getUStatLargerGroup() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
get the U statistic of the larger group.
getUStatSmallerGroup() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
get the U statistic of the smaller group.
getUVarianceFormula() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
getValue() - Method in class edu.uah.math.devices.Ball
This method gets the value of the ball.
getValue() - Method in class edu.uah.math.devices.Card
This method gets the value (denomination) of the card.
getValue() - Method in class edu.uah.math.devices.Coin
This method gets the value of the coin.
getValue() - Method in class edu.uah.math.devices.CriticalGraph
This method returns the value of the test statistic.
getValue() - Method in class edu.uah.math.devices.Die
This method gets the value of the die.
getValue(int) - Method in class edu.uah.math.devices.InteractiveHistogram
This method returns the values from the data set.
getValue() - Method in class edu.uah.math.devices.InteractiveHistogram
This method returns the last value.
getValue() - Method in class edu.uah.math.devices.Parameter
This method gets the value of the parameter.
getValue(double) - Method in class edu.uah.math.devices.Spinner
This method computes the value (sector number) corresponding to a give angle.
getValue() - Method in class edu.uah.math.devices.Spinner
This method returns the current value of the spinner
getValue() - Method in class edu.uah.math.distributions.Data
This method gets the current value of the data set.
getValue(int) - Method in class edu.uah.math.distributions.Data
This method returns the value of the data set corresponding to a given index.
getValue(int) - Method in class edu.uah.math.distributions.Domain
This method return the midpoint of the interval corresponding to a given index.
getValue() - Method in class edu.uah.math.distributions.IntervalData
This method returns the current value of the data set.
getValue() - Method in class edu.uah.math.distributions.RandomVariable
This method gets the current value of the random variable.
getValue() - Method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
getValue() - Method in class edu.ucla.stat.SOCR.core.ValueSetter
 
getValue(int) - Method in class edu.ucla.stat.SOCR.distributions.Domain
This method return the midpoint of the interval corresponding to a given index
getValue() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the current value of the data set
getValue() - Method in class edu.ucla.stat.SOCR.distributions.RandomVariable
Get the current value of the random variable
getValue(Node) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
getValue(NodeList) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
getValue() - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
getValue() - Method in class edu.ucla.stat.SOCR.util.Ball
This method gets the value of the ball
getValue(int) - Method in class edu.ucla.stat.SOCR.util.BallotGraph
This method gets the value of the random walk at a specified index
getValue() - Method in class edu.ucla.stat.SOCR.util.Card
This method gets the value (denomination) of the card: 1 for ace, 2 through 10, 11 for jack, 12 for queen, 13 for king.
getValue() - Method in class edu.ucla.stat.SOCR.util.Coin
This method gets the value of the coin
getValue() - Method in class edu.ucla.stat.SOCR.util.Die
This method gets the value of the die
getValue(int) - Method in class edu.ucla.stat.SOCR.util.InteractiveHistogram
This method returns the values from the data set.
getValue() - Method in class edu.ucla.stat.SOCR.util.InteractiveHistogram
This method returns the last value.
getValue(int) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
This method returns the values from the data set.
getValue() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
This method returns the last value.
getValue(int) - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method gets the position of the walk at a specified time.
getValue() - Method in class edu.ucla.stat.SOCR.util.Spinner
This method returns the value of a spin.
getValue() - Method in class edu.ucla.stat.SOCR.util.ValueSlider
 
getValue() - Method in class edu.ucla.stat.SOCR.util.ValueSliderFloat
 
getValueArray(DataCase[]) - Static method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
getValueAsInt() - Method in class edu.ucla.stat.SOCR.core.ValueSetter
 
getValueAsInt() - Method in class edu.ucla.stat.SOCR.util.ValueSlider
 
getValueAsInt() - Method in class edu.ucla.stat.SOCR.util.ValueSliderFloat
 
getValueAt(int, int) - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Returns the value of the specified table cell.
getValueAt(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
getValueAt(int, int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.FilteredTableModel
 
getValueAt(int, int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
 
getValueByName(String) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
getValueByName(Element, String) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
getValueColor() - Method in class edu.uah.math.devices.CriticalGraph
This method returns the value color.
getValueList() - Method in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
getValueRange() - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the range of y-values.
getValues() - Method in class edu.uah.math.devices.CardHand
This method returns the array of values.
getValues(int) - Method in class edu.uah.math.devices.CardHand
This method returns the value of an individual coin
getValues() - Method in class edu.uah.math.devices.CoinBox
This method returns the array of values.
getValues(int) - Method in class edu.uah.math.devices.CoinBox
This method returns the value of an individual coin
getValues() - Method in class edu.uah.math.devices.DiceBoard
This method returns the array of values.
getValues(int) - Method in class edu.uah.math.devices.DiceBoard
This method returns the value of an individual coin
getValues() - Method in class edu.uah.math.devices.RandomWalkGraph
This method returns the array of values (positions).
getValues(int) - Method in class edu.uah.math.devices.RandomWalkGraph
This method gets the position of the walk at a specified time.
getValues() - Method in class edu.uah.math.devices.Urn
This method returns the array of ball values.
getValues(int) - Method in class edu.uah.math.devices.Urn
This method returns the value of an individual ball.
getValueSetter(int) - Method in class edu.ucla.stat.SOCR.core.SOCRValueSettable
 
getValueSetters() - Method in interface edu.ucla.stat.SOCR.core.IValueSettable
 
getValueSetters() - Method in class edu.ucla.stat.SOCR.core.SOCRValueSettable
implements IValueSettable
getVariable1LogX() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getVariable1X() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getVariable1Y() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
Accessors
getVariable2LogX() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getVariable2X() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getVariable2Y() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getVariableList() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
Accessors
getVariableList() - Method in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
Accessors
getVariableList() - Method in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
Accessors
getVariableNames() - Method in class edu.uah.math.devices.RecordTable
This method returns the array of variable names.
getVariance() - Method in class edu.uah.math.distributions.BetaDistribution
This method computes the variance in terms of the parameters.
getVariance() - Method in class edu.uah.math.distributions.BinomialDistribution
This method computes the variance in terms of the probability of success and the number of trials.
getVariance() - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method computes the variance in terms of the mean and variance of the number of trials and the probability of success.
getVariance() - Method in class edu.uah.math.distributions.BirthdayDistribution
This method computes the variance of the distribution in terms of the parameters.
getVariance() - Method in class edu.uah.math.distributions.CircleDistribution
This method computes the variance in terms of the radius parameter.
getVariance() - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method computes the variance of the distribution in terms of the parameters.
getVariance() - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method computes the variance of the convolution distribution in terms of the variance of the given distribution and the convolution power.
getVariance() - Method in class edu.uah.math.distributions.CouponDistribution
This method computes the variance of the distribution.
getVariance() - Method in class edu.uah.math.distributions.Data
This method gets the variance of the data set treated as a sample.
getVariance() - Method in class edu.uah.math.distributions.Distribution
This method returns a default approximate variance.
getVariance() - Method in class edu.uah.math.distributions.ExtremeValueDistribution
This method returns the variance of the distribution.
getVariance() - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method computes the variance of the distribution.
getVariance() - Method in class edu.uah.math.distributions.FisherDistribution
This method returns the variance of the distribution.
getVariance() - Method in class edu.uah.math.distributions.GammaDistribution
This method returns the variance kb2.
getVariance() - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method computes the variance, which is given by n (r/m) (1 − r/m)(m − n) / (m − 1).
getVariance() - Method in class edu.uah.math.distributions.IntervalData
This method returns the variance of the data set treated as a sample (that is, the sum is divided by n − 1 where n is the number of points).
getVariance() - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method returns the variance of the location-scale distribution in terms of the given distribution and the location and scale parameters.
getVariance() - Method in class edu.uah.math.distributions.LogisticDistribution
This method computes the variance of the distribution, which is π2 / 3.
getVariance() - Method in class edu.uah.math.distributions.LogNormalDistribution
This method computes the variance of the distribution.
getVariance() - Method in class edu.uah.math.distributions.MatchDistribution
This method returns the variance, which is 1 regardless of the parameter value.
getVariance() - Method in class edu.uah.math.distributions.MixtureDistribution
This method computes the variance of the mixture distributions in terms of the variances and means of the given distributions and the mixing parameters.
getVariance() - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method computes the variance of the distribution.
getVariance() - Method in class edu.uah.math.distributions.NormalDistribution
This method returns the variance of the distribution.
getVariance() - Method in class edu.uah.math.distributions.ParetoDistribution
This method computes the variance of the distribution.
getVariance() - Method in class edu.uah.math.distributions.PoissonDistribution
This method returns the variance of the distribution.
getVariance() - Method in class edu.uah.math.distributions.StudentDistribution
This method returns the variance of the distribution.
getVariance() - Method in class edu.uah.math.distributions.TriangleDistribution
This method computes the variance.
getVariance() - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method computes the variance.
getVariance() - Method in class edu.uah.math.distributions.WeibullDistribution
This method returns the variance of the distribution.
getVariance() - Method in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
getVariance() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns a default approximate variance.
getVariance(double[]) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method returns the sample variance of a data series
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Specify the variance in close form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Specify the variance in close form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.BinomialRandomNDistribution
 
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This method computes the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
Variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
This method computes the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method computes the variance.
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.Convolution
Variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
Variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This method computes the variance.
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method returns the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
Variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method returns the Variance http://en.wikipedia.org/wiki/Generalized_extreme_value_distribution
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method computes the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
These methods return the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the sample variance.
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
Variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
These methods return the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method returns the Johnson SU Variance http://www.mathwave.com/articles/johnson_su_distribution.html
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
Variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.LocationScaleDistribution
This method returns the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Compute the variance in closed form
getVariance(double[]) - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
 
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
This method computes the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method computes the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
This method computes the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.MatchDistribution
This method returns the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
This method computes the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method computes the variance of the mixture distributions in terms of the variances and means of the given distributions and the mixing parameters.
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
These methods return the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
This method computes the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method computes the Rician variance.
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
This method returns the variance
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This method computes the variance.
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Compute the variance in closed form
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method computes the variance.
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method computes the variance.
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This method computes the variance.
getVariance() - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method returns the variance
getVariance(int) - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
getVariance() - Method in class edu.ucla.stat.SOCR.util.normComponent
 
getVarianceP() - Method in class edu.uah.math.distributions.IntervalData
This method returns the variance of the data set treated as a population (that is, the sum is divided by the number of points n rather than n − 1).
getVarianceP() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method returns the population variance
getVarianceU() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
get VarianceU when the sample is large sample.
getVarianceW() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
getVarPredict() - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
getVersion() - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
getVersion() - Static method in class edu.ucla.stat.SOCR.JRI.Rengine
version of the Rengine itself; see also rniGetVersion() for binary version.
getVerticalAlignment() - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Returns the alignment of the wrapper's contents along the Y axis.
getVisibleSeries() - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Returns indices of all visible series.
getVolumnInfo() - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
getVoter() - Method in class edu.uah.math.devices.Voters
This method returns the currently selected voter.
getVoteTotal() - Method in class edu.uah.math.devices.BallotGraph
This method returns the total number of votes.
getWeight() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
getWeight(int) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
getWeight(int) - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
getWeight() - Method in class edu.ucla.stat.SOCR.util.normComponent
 
getWeights() - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
This method returns the third row (of weights for all Distributions in the mixture)
getWeights() - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
getWidth() - Method in class edu.uah.math.distributions.Domain
This method returns the width (step size) of the domain.
getWidth() - Method in class edu.uah.math.distributions.FiniteDistribution
This method returns the width.
getWidth() - Method in class edu.ucla.stat.SOCR.distributions.Domain
This method returns the width of the partition
getWikiAbout() - Method in class edu.ucla.stat.SOCR.applications.Application
 
getWikiAbout() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getWikiHelp() - Method in class edu.ucla.stat.SOCR.applications.Application
 
getWikiHelp() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
getWinnerCount() - Method in class edu.ucla.stat.SOCR.util.BallotGraph
This method returns the winner count
getWinnerLead(int) - Method in class edu.uah.math.devices.BallotGraph
This method gets the winner lead at a specified time index.
getWinnerLead() - Method in class edu.uah.math.devices.BallotGraph
This method gets the array of winner leads.
getWinnerTotal() - Method in class edu.uah.math.devices.BallotGraph
This method returns the total number of votes that the winner receives.
getWStat() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
getX(int) - Method in class edu.uah.math.devices.ScatterPlot
This method gets the x-coordinate of the point with a specified index.
getX(String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getX(String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getX(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset
Returns the x-value for the specified series and item.
getX(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the x-value for the specified series and item.
getX(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYZDataset
Returns the x-value for an item within a series.
getX(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Returns the x-value for an item within a series.
getX(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Returns the x-value for an item within a series.
getX(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the x-value for an item within a series.
getX() - Method in class edu.ucla.stat.SOCR.util.Forest
This method gets the x mouse coordinates.
getX(int) - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method gets the x-coordinate at index i
getX() - Method in class edu.ucla.stat.SOCR.util.Voters
This method returns the x coordinate of the mouse.
getX_bar() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
getX_bar() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
getXAxisColor() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the x-axix color.
getXAxisMapping() - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
getXBar() - Method in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
getXCenter() - Method in class edu.uah.math.devices.CoinFloor
This method gets the x coordinate of the coin center.
getXCenter() - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method gets the x coordinate of the coin center
getXCoordinate() - Method in class edu.uah.math.devices.BertrandFloor
This method gets the x-corrdinate of the chord.
getXCoordinate() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method gets the x-corrdinate of the chord
getXCoordinates() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the vector of x coordinates.
getXData() - Method in class edu.uah.math.devices.UserScatterPlot
This method returns the x data as an interval dataset.
getXData() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getXData() - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method returns the x data
getXDomain() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the domain of the x variable.
getXGraph(double) - Method in class edu.uah.math.devices.Graph
This method converts between scale and graph units.
getXi() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
 
getXi() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
 
getXIntWidth() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getXLabel() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the x-axis label for the dataset.
getXMax() - Method in class edu.uah.math.devices.Graph
This method returns the maximum x value.
getXMax() - Method in class edu.ucla.stat.SOCR.util.Graph
This method returns the maximum x value
getXMaxLocation() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getXMin() - Method in class edu.uah.math.devices.Graph
This method returns the minimum x value.
getXMin() - Method in class edu.ucla.stat.SOCR.util.Graph
This method returns the minimum x value
getXMinLocation() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getXmlDocument(String) - Method in class edu.ucla.stat.SOCR.analyses.xml.AnalysisOutput
 
getXMLInputFile() - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
 
getXMLInputFile() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
getXMLInputString() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
getXMLOutputString() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
getXMLroot() - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
getXMouse() - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method returns the x coordinate of the mouse
getXName() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the name of the x variable.
getXPixels(double) - Method in class edu.uah.math.devices.Graph
This method converts scale units to graph units for the x variable.
getXScale(int) - Method in class edu.uah.math.devices.Graph
This method converts between graph and scale units for the x variable.
getXScatterPlot_Range() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getXSize() - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
getXSize() - Method in class edu.ucla.stat.SOCR.util.Database
 
getXStart() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
getXStart(int) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
getXStart() - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
getXStart() - Method in class edu.ucla.stat.SOCR.util.Database
 
getXString() - Method in class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
getXSummary(int) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
return X summary for XYDataset
getXValue(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the x-value (as a double primitive) for an item within a series.
getXvalues() - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
This method returns the second row (X-values)
getXvalues() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This method gets the array of Multinomail parameters (x-Values[]).
getXvalues() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
This method gets the array of Negative Multinomail parameters (x-Values[]).
getXvaluesSum() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This method gets the array of Multinomail parameters (x-Values[]).
getXvaluesSum() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
This method gets the array of Multinomail parameters (x-Values[]).
getXYChart(String, String, String, String, JTable, int, int[][], String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
given XY data, this method will generate a Bar Chart, Line Chart, Area Chart etc
getXYZBubbleChart(String, String, String, JTable, int, int[][], String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
given XYZ data, this method will generate a Bubble Chart
getXYZSummary(XYZDataset, int) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
return the statistical summary for the given serie
getY(int) - Method in class edu.uah.math.devices.ScatterPlot
This method gets the y-coordinate of the point with a specified index.
getY(String) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
getY(String) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
getY(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset
Returns the y-value for the specified series and item.
getY(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Returns the y-value for the specified series and item.
getY(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYZDataset
Returns the y-value for an item within a series.
getY(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Returns the y-value for an item within a series.
getY(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Returns the y-value for an item within a series.
getY(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the y-value for an item within a series.
getY() - Method in class edu.ucla.stat.SOCR.util.Forest
This method gets the y mouse coordinate.
getY(int) - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method gets the y-coordinate at index i
getY() - Method in class edu.ucla.stat.SOCR.util.Voters
This method returns the y coordinate of the mouse.
getYAxisColor() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the y-axis color.
getYAxisMapping() - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
getYCenter() - Method in class edu.uah.math.devices.CoinFloor
This method gets the y coordinate of the coin center.
getYCenter() - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method gets the y coordinate of the coin center
getYCoordinate() - Method in class edu.uah.math.devices.BertrandFloor
This method gets the y-corrdinate of the chord.
getYCoordinate() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method gets the y-corrdinate of the chord
getYCoordinates() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the vector of y coordinates.
getYData() - Method in class edu.uah.math.devices.UserScatterPlot
This method returns the y data as an interval dataset.
getYData() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
getYData() - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method returns the y data
getYDomain() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the domain of the y variable.
getYear() - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
getYGraph(double) - Method in class edu.uah.math.devices.Graph
This method converts between scale and graph units for the y variable.
getYIntercept() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getYIntervalChart(String, String, String, JTable, int, int[][], String) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
given XY data, this method will generate a YInterval Chart
getYIntWidth() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getYLabel() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the y-axis label for the dataset.
getYMax() - Method in class edu.uah.math.devices.Graph
This method returns the maximum y value.
getYMax() - Method in class edu.ucla.stat.SOCR.util.Graph
This method returns the maximum y value
getYMaxLocation() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getYMin() - Method in class edu.uah.math.devices.Graph
This method returns the minimum y value.
getYMin() - Method in class edu.ucla.stat.SOCR.util.Graph
This method returns the minimum y value
getYMinLocation() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getYMouse() - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method returns the y coordinate of the mouse
getYName() - Method in class edu.uah.math.devices.ScatterPlot
This method returns the name of the y variable.
getYPixels(double) - Method in class edu.uah.math.devices.Graph
This method converts scale units to graph units for the y variable.
getYScale(int) - Method in class edu.uah.math.devices.Graph
This method converts between graph and scale units for the y variable.
getYScatterPlot_Range() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
getYSize() - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
getYSize() - Method in class edu.ucla.stat.SOCR.util.Database
 
getYStart() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
getYStart(int) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
getYStart() - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
getYStart() - Method in class edu.ucla.stat.SOCR.util.Database
 
getYString() - Method in class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
getYSummary(int) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
return Y summary for XYDataset
getYValue(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the y-value (as a double primitive) for an item within a series.
getZ(int, int) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYZDataset
Returns the z-value for the specified series and item.
getZ(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the z-value for the specified series and item.
getZeta() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
Get zeta
getZFormula() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getZLabel() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the z-axis label for the dataset.
getZScore() - Method in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
getZScore() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
get MeanU when the sample is large sample.
getZScore() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
getZStat() - Method in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
getZValue(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Returns the z-value (as a double primitive) for an item within a series.
GilbratsDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Gilbrat's distribution: A continuous distribution in which the logarithm of a variable x has a Standard Normal distribution.
GilbratsDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This general constructor creates a new Gilbrat's distribution.
GL_MIX - Static variable in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
GLMix - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
GOAT - Static variable in class edu.uah.math.devices.Door
 
GompertzDistribution - Class in edu.ucla.stat.SOCR.distributions
Gompertz distribution with a specified shape parameter and scale parameter.
GompertzDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.GompertzDistribution
 
GompertzDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.GompertzDistribution
 
GompertzDistribution(double, double, int) - Constructor for class edu.ucla.stat.SOCR.distributions.GompertzDistribution
General Constructor: creates a new Gompertz distribution with shape parameter k, scale parameter b and upper-bount parameter (limiting distribution plot)
GompertzDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.GompertzDistribution
General Constructor: creates a new Gompertz distribution with shape parameter k and scale parameter b
GompertzDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.GompertzDistribution
Default Constructor: creates a new Gompertz distribution with shape parameter 1 and scale parameter 1
goToSOCR_CLT_Activity - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
GRAND_RANK_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
GRAND_RANK_TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
GRAND_TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
GRAND_TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
Graph - Class in edu.uah.math.devices
This class defines a basic two-dimensional graph to be sub-classed.
Graph(double, double, double, double) - Constructor for class edu.uah.math.devices.Graph
This general constructor creates a new graph with specified ranges on the x an y axes,
Graph() - Constructor for class edu.uah.math.devices.Graph
This default constructor creates a new graph with x and y between 0 and 1.
GRAPH - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
GRAPH - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
graph - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
graph - Variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
GRAPH - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
GRAPH - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
GRAPH - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
graph - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
graph - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
Graph - Class in edu.ucla.stat.SOCR.util
This class defines a basic two-dimensional graph to be sub-classed.
Graph(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.Graph
This general constructor creates a new graph with specified ranges on the x an y axes
Graph() - Constructor for class edu.ucla.stat.SOCR.util.Graph
This default constructor creates a new graph with x and y between 0 and 1
GRAPH_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
GRAPH_DEFAULT_X_MAX - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerConstant
 
GRAPH_DEFAULT_X_MIN - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerConstant
 
GRAPH_DEFAULT_Y_MAX - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerConstant
 
GRAPH_DEFAULT_Y_MIN - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerConstant
 
GRAPH_LOWER_LIMIT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerConstant
 
GRAPH_MARGIN_BOTTOM - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
GRAPH_MARGIN_LEFT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
GRAPH_MARGIN_RIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
GRAPH_MARGIN_TOP - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
GRAPH_UPPER_LIMIT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerConstant
 
GraphBase - Class in edu.ucla.stat.SOCR.gui
 
GraphBase(String, int, int) - Constructor for class edu.ucla.stat.SOCR.gui.GraphBase
 
GraphBase(String) - Constructor for class edu.ucla.stat.SOCR.gui.GraphBase
 
GraphBase.GraphItem - Class in edu.ucla.stat.SOCR.gui
 
GraphBase.GraphItem(String, int, Color) - Constructor for class edu.ucla.stat.SOCR.gui.GraphBase.GraphItem
 
GraphBgColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
graphLeft - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
graphPanel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
graphPanel - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
graphPanel - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
graphPanel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
GraphPanel - Class in edu.ucla.stat.SOCR.core
 
GraphPanel(SOCRDistributions) - Constructor for class edu.ucla.stat.SOCR.core.GraphPanel
 
graphPanel - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
graphPanel - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
graphPanel2 - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
graphPanel2 - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
GraphPanels - Class in edu.ucla.stat.SOCR.core
 
GraphPanels(SOCRDistributionFunctors) - Constructor for class edu.ucla.stat.SOCR.core.GraphPanels
 
graphRawData - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
graphRawData - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
graphRight - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
graphs - Variable in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
graphSampleMean - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
graphSampleMean - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
graphUpdate() - Method in class edu.uah.math.experiments.BallotExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.BertrandExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.BetaCoinExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.BirthdayExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.BivariateNormalExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.BivariateUniformExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.BuffonCoinExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.BuffonNeedleExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.ChuckALuckExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.CoinDieExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.CrapsExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.DiceExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.DieCoinExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.EstimateExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.Experiment
 
graphUpdate() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.GammaExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.MatchExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.MeanEstimateExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.MeanTestExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.MontyHallExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.NormalEstimateExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.OrderStatisticExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.ParetoEstimateExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.Poisson2DExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.PoissonExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.PokerDiceExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.PokerExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.ProportionTestExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.RandomVariableExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.RandomWalkExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.RedBlackExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.RouletteExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.SampleMeanExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.SignTestExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.SpinnerExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.TriangleExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.Uniform_E_EstimateExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.UniformEstimateExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.UrnExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
 
graphUpdate() - Method in class edu.uah.math.experiments.VarianceTestExperiment
 
graphUpdate() - Method in class edu.ucla.stat.SOCR.applications.Application
 
graphUpdate() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
graphUpdate() - Method in class edu.ucla.stat.SOCR.core.Experiment
 
graphUpdate() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
 
graphUpdate() - Method in class edu.ucla.stat.SOCR.experiments.CouponCollectorExperiment
 
graphZScore - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
graphZScore - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
GRAY - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Gray colormap
GrayColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a gray level colormap
GrayColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.GrayColorMap
Default constructor
GrayColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.GrayColorMap
Constructor
GREEN - Static variable in class edu.uah.math.experiments.Experiment
 
GREEN - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Green colormap
GREEN - Static variable in class edu.ucla.stat.SOCR.util.Forest
 
GreenColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a gray level colormap
GreenColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.GreenColorMap
Default constructor
GreenColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.GreenColorMap
Constructor
group - Variable in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
GROUP_COUNT - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
GROUP_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
GROUP_NAME_LARGE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
GROUP_NAME_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
GROUP_NAME_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
GROUP_NAME_SMALL - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
GROUP_RANK_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
GROUP_RANK_TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
GROUP_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
groupIdAssigned(String, URI[]) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when a group id for a source has been assigned.
groupIdNotAssigned(Exception, URI[]) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when the group id for a source cannot be assigned.
groupName - Variable in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
groupNameLabel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
groupNamesIndex - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
groupNamesIndex - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
groupNotTranslated(Exception, URI[], String[], String[]) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when a translation group cannot be translated.
groupTranslated(String[], String[]) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when a translation group is translated.
GUI_LOWER_LIMIT - Static variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
GUI_UPPER_LIMIT - Static variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
GUIUtil - Class in edu.ucla.stat.SOCR.util
 
GUIUtil() - Constructor for class edu.ucla.stat.SOCR.util.GUIUtil
 
GumbelDistr - Variable in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
GumbelDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implmentation of the Gumbel distribution with specified alpha & beta parameters http://mathworld.wolfram.com/GumbelDistribution.html .
GumbelDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.GumbelDistribution
General Constructor: creates a Gumbel distribution with specified alpha & beta parameters
GumbelDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Default constructor: creates a Gumbel distribution with alpha & beta parameters equal to 0 & 1
GumbelFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
GumbelFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
GumbelFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
GZIP - Class in edu.ucla.stat.SOCR.util
 
GZIP() - Constructor for class edu.ucla.stat.SOCR.util.GZIP
 

H

h - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
HalfNormalDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Half-Normal distribution with specified starting and SD parameters.
HalfNormalDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This general constructor creates a new Half-Normal distribution with specified parameter values
HalfNormalDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This default constructor creates a new standard normal distribution
halfSampleCount - Static variable in class edu.ucla.stat.SOCR.games.FourierGame
 
halfSampleCount - Static variable in class edu.ucla.stat.SOCR.games.WaveletGame
 
halfSampleCount - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
halfSampleCount - Static variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
halfSampleCountFloat - Static variable in class edu.ucla.stat.SOCR.games.FourierGame
 
halfSampleCountFloat - Static variable in class edu.ucla.stat.SOCR.games.WaveletGame
 
halfSampleCountFloat - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
halfSampleCountFloat - Static variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
HARDWAY10 - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
HARDWAY10 - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
HARDWAY4 - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
HARDWAY4 - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
HARDWAY6 - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
HARDWAY6 - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
HARDWAY8 - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
HARDWAY8 - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
hasExample - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
hasExample - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
hasExample - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
hashCode() - Method in class edu.ucla.stat.SOCR.motionchart.MotionKey
 
hasInput - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
hasTie() - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
haveData - Variable in class edu.ucla.stat.SOCR.util.ProbabilityPlotGraph
 
HEADER_ROW - Variable in class edu.ucla.stat.SOCR.util.EditableHeader
 
headerDataObject - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
headerEditor - Variable in class edu.ucla.stat.SOCR.util.EditableHeaderTableColumn
 
headerTable - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
headerTable - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
headerTable - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
headerTable - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
HEADS - Static variable in class edu.uah.math.devices.Coin
 
HEALTHY - Static variable in class edu.uah.math.devices.Forest
 
HEARTS - Static variable in class edu.uah.math.devices.Card
 
HEARTS - Static variable in class edu.ucla.stat.SOCR.util.Card
 
height - Variable in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
HELP - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
HELP - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
HELP - Static variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
HELP - Static variable in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
HELP - Static variable in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
HELP - Variable in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
HELP - Variable in class edu.ucla.stat.SOCR.core.SOCRGames
 
HELP - Static variable in class edu.ucla.stat.SOCR.core.SOCRJRIAnalyses
 
hh - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
hhh - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
hhhh - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
HiddenPlot - Class in edu.ucla.stat.SOCR.chart.gui
 
HiddenPlot() - Constructor for class edu.ucla.stat.SOCR.chart.gui.HiddenPlot
 
HideNeighbor - Static variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
HideNeighbor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
hideNeighbor() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
hideWaitDialog() - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
HIGH_CORRELATION - Static variable in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
HighlightAsBoth - Static variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
HighlightAsChild - Static variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
HighlightAsParent - Static variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
Highlighted - Static variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
highlightEdgeColorChoice - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
highlightEdgeType(int) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
HighLightedType - Class in edu.ucla.stat.SOCR.distributome.data
 
HighLightedType() - Constructor for class edu.ucla.stat.SOCR.distributome.data.HighLightedType
 
highlightedType - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
highlightNodeAndNeighbors() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
highlightNodeColorChoice - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
highlightNodeType(int) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
highlightSearchResult() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
highlightSingleEdge() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
histBinNos - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
histBins(float[], float, float) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
histBins - Variable in class edu.ucla.stat.SOCR.core.SOCRModeler
 
histLabel - Variable in class edu.ucla.stat.SOCR.core.SOCRModeler
 
Histogram - Class in edu.uah.math.devices
This class is a basic graph for displaying the density and moments for a specified interval data set.
Histogram(IntervalData) - Constructor for class edu.uah.math.devices.Histogram
This general constructor creates a new data graph with a specified domain.
Histogram() - Constructor for class edu.uah.math.devices.Histogram
This default constructor creates a new data graph with a new data set on the interval [0, 1] with subintervals of length 0.1.
Histogram - Class in edu.ucla.stat.SOCR.util
 
Histogram(IntervalData, int) - Constructor for class edu.ucla.stat.SOCR.util.Histogram
This general constructor creates a new data graph with a specified data set and axis type.
Histogram() - Constructor for class edu.ucla.stat.SOCR.util.Histogram
This default constructor creates a new data graph with a new data set on the interval [0, 1] with subintervals of length 0.1.
HISTOGRAM_AXIS - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
HISTOGRAM_BAR_FILL - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
HISTOGRAM_BAR_OUTLINE - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
HISTOGRAM_FOURIER_DATA - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
HISTOGRAM_FOURIER_MODEL - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
HISTOGRAM_LABEL - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
HISTOGRAM_RANGE - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
HISTOGRAM_TICKMARK - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
HistogramChartDemo - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart using an XYPlot.
HistogramChartDemo() - Constructor for class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo
 
HistogramChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart using an XYPlot.
HistogramChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo2
 
HistogramChartDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart using an XYPlot.
HistogramChartDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo3
 
HistogramChartDemo4 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart using an XYPlot.
HistogramChartDemo4() - Constructor for class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo4
 
HistogramChartDemo5 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart using an XYPlot.
HistogramChartDemo5() - Constructor for class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo5
 
HistogramChartDemo6 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart using an XYPlot.
HistogramChartDemo6() - Constructor for class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo6
 
HistogramChartDemo7 - Class in edu.ucla.stat.SOCR.chart.demo
A sample waterfall chart.
HistogramChartDemo7() - Constructor for class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
 
HistogramGame - Class in edu.uah.math.games
This class models an interactive historgram.
HistogramGame() - Constructor for class edu.uah.math.games.HistogramGame
 
HistogramGame - Class in edu.ucla.stat.SOCR.games
This class models an interactive historgram
HistogramGame() - Constructor for class edu.ucla.stat.SOCR.games.HistogramGame
This method initialize the applet
histToRaw() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
hModel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
hModel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
hModel - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
hookTableAction() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
Add customized table actions.
hookTableAction() - Method in class edu.ucla.stat.SOCR.chart.Chart
Add customized table actions.
hookTableAction() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
Add customized table actions.
HORIZONTAL - Static variable in class edu.uah.math.devices.Graph
 
HORIZONTAL - Static variable in class edu.ucla.loni.LOVE.colormap.ActiveBar
 
HORIZONTAL - Static variable in class edu.ucla.loni.LOVE.colormap.ColorBar
 
HORIZONTAL - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
HORIZONTAL - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
HORIZONTAL - Static variable in class edu.ucla.stat.SOCR.util.Graph
 
HOST_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.ServletConstant
 
HOST_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.ri.ServletConstant
 
HOST_NAME - Static variable in class edu.ucla.stat.SOCR.analyses.server.ServletConstant
 
HOT - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Hot colormap
HotColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a hot colormap
HotColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.HotColorMap
Default constructor
HotColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.HotColorMap
Constructor
HOTMETAL - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Hotmetal colormap
HotmetalColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a hotmetal colormap
HotmetalColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.HotmetalColorMap
Default constructor
HotmetalColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.HotmetalColorMap
Constructor
HSV - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
HSV colormap
HSVColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a gray level colormap
HSVColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.HSVColorMap
Default constructor
HSVColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.HSVColorMap
Constructor
HyperbolicSecantDistribution - Class in edu.ucla.stat.SOCR.distributions
This class encapsulates the Hyperbolic-Secant distribution -- no parameters.
HyperbolicSecantDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
This general constructor creates a new HyperbolicSecant distribution with specified parameter values
HypergeometricDistribution - Class in edu.uah.math.distributions
This class models the hypergeometric distribution with a specified population size, sample size, and number of type 1 objects.
HypergeometricDistribution(int, int, int) - Constructor for class edu.uah.math.distributions.HypergeometricDistribution
This general constructor creates a new hypergeometric distribution with specified values of the parameters.
HypergeometricDistribution() - Constructor for class edu.uah.math.distributions.HypergeometricDistribution
This default constructor: creates a new hypergeometric distribuiton with population 100 containing 50 type 1 objects, and with sample size 10.
HypergeometricDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the HyperGeometric distribution with parameters m (population size), n (sample size), and r (number of type 1 objects).
HypergeometricDistribution(int, int, int) - Constructor for class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
General constructor: creates a new hypergeometric distribution with specified values of the parameters
HypergeometricDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Default constructor: creates a new hypergeometric distribuiton with parameters m = 100, r = 50, n = 10
HYPOTHESIS_TYPE - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
HYPOTHESIS_TYPE_GT - Static variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
HYPOTHESIS_TYPE_GT - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
HYPOTHESIS_TYPE_LT - Static variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
HYPOTHESIS_TYPE_LT - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
HYPOTHESIS_TYPE_NE - Static variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
HYPOTHESIS_TYPE_NE - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
hypothesisType - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
hypothesisType - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
hypothesisType - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 

I

I0(double) - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method Calls the Bessel Function of the ZERO kind defined in edu.ucla.stat.SOCR.util.BesselFunction
I0(double) - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method Calls the Bessel Function defined in edu.ucla.stat.SOCR.util.BesselFunction
i0(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the modified BesselFunction function of order 0 of the argument.
i0e(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the exponentially scaled modified BesselFunction function of order 0 of the argument.
I1(double) - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method Calls the Bessel Function of the FIRST kind defined in edu.ucla.stat.SOCR.util.BesselFunction
I1(double) - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method Calls the Bessel Function defined in edu.ucla.stat.SOCR.util.BesselFunction
i1(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the modified BesselFunction function of order 1 of the argument.
i1e(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the exponentially scaled modified BesselFunction function of order 1 of the argument.
id - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
idleEval(String) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
This method is very much like Rengine.eval(String), except that it is non-blocking and return null if the engine is busy.
IExperiment - Interface in edu.ucla.stat.SOCR.core
 
IGame - Interface in edu.ucla.stat.SOCR.core
 
IJMean(factor, factor, double[]) - Method in class edu.ucla.stat.SOCR.util.Anova
 
imageName - Variable in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
images - Variable in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
implementedFile - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
implementedFile - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
implementedFile - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
implementedFile - Variable in class edu.ucla.stat.SOCR.core.WaveletLoader
 
implementedFunctor - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
IMSD - Static variable in class edu.uah.math.devices.DataTable
 
IMSD - Static variable in class edu.uah.math.devices.Histogram
 
in - Variable in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
in - Variable in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
in - Variable in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
INDEPENDENT - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
INDEPENDENT - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
INDEPENDENT_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.data.Data
 
INDEPENDENT_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
independentHeaderArray - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
independentHeaderArray - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
independentHeaders - Variable in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
independentHeaders - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
independentIndex - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
independentIndex - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
independentIndex - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
independentLength - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
independentLength - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
independentLength - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
independentList - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
independentList - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
independentList - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
independentListCursor - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
independentListCursor - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
independentListCursor - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
independentVarLength - Variable in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
independentVarLength - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
indepValues - Variable in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
indepValues - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
index - Variable in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
INDEX_0 - Static variable in class edu.ucla.stat.SOCR.chart.Chart
 
INDEX_1 - Static variable in class edu.ucla.stat.SOCR.chart.Chart
 
IndexChart - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
IndexChart() - Constructor for class edu.ucla.stat.SOCR.chart.demo.IndexChart
 
indLabel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
indLabel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
indLabel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
indMax - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
indMax - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
indMax - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
inEP - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
INFO_COL - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
INFO_ROW - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
infoAreaMiddle - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
infoAreaReference - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
infoAreaUpper - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
infoAreaUpperContainer - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
InfoBgColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
InfoBgColor2 - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
infoPanel - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
infoPanel - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
infoPanelTextArea - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
init() - Method in class edu.uah.math.experiments.BallotExperiment
This method initialize the experiment, including the name, the scroll bars, the toolbar, the graphs and tables.
init() - Method in class edu.uah.math.experiments.BertrandExperiment
Initialize the experiment: Set the name, add the toolbar with the model choices; add the floor graph and the random variable graph; add the record table and the random variable table.
init() - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method initializes the experiment by setting up the toolbar, scrollbars.
init() - Method in class edu.uah.math.experiments.BetaEstimateExperiment
This method initializes the experiment, including the addition of the parameter label and scrollbar to the toolbar
init() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method initializes the experiment, including the coin box, the toolbar with the random variable choice, and the random variable table and graph.
init() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method initializes the experiment, including the timeline, toolbar, record table, random variable graph and table.
init() - Method in class edu.uah.math.experiments.BirthdayExperiment
This method initializes the experiment, including the set up of the toolbar with scrollbars, the panel containing the balls, the random variable graph and table.
init() - Method in class edu.uah.math.experiments.BivariateNormalExperiment
This method initializes the experiment, including the scatterplot, parameter scrollbars labels, random variable graphs, and the correlation table.
init() - Method in class edu.uah.math.experiments.BivariateUniformExperiment
This method initializes the experiment, including the distribution choice, toolbar, scatterplot, random variable tables and graphs.
init() - Method in class edu.uah.math.experiments.BuffonCoinExperiment
This method initializes the experiment, including the graphs, labels, scrollbars, and tables.
init() - Method in class edu.uah.math.experiments.BuffonNeedleExperiment
This method initialize the experiment, including the tables, graphs, toolbar.
init() - Method in class edu.uah.math.experiments.CardExperiment
This method initializes the experiment: including the scrollbar, cards, record table.
init() - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
This method initializes the experiment.
init() - Method in class edu.uah.math.experiments.ChuckALuckExperiment
This method initialize the experiment, including the recrod table, the bet choice, the toolbar, the dice board, and the random variable graph and table.
init() - Method in class edu.uah.math.experiments.CoinDieExperiment
This method initializes the experiment, including the record table, the die probability buttons, the probability slider, the toolbar, the die and coin, and the random variable graph and table.
init() - Method in class edu.uah.math.experiments.CoinSampleExperiment
This method initializes the experiment, including the record table, sliders for the number of coins and the probabiltiy of heads, the toolbar, and the coin box.
init() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method initializes the experiment, including the coin box, the toolbar with the random variable choice, and the random variable table and graph.
init() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method initialize the experiment, including the record table, the sliders for the population size and the number of distinct values to be obtained, the toolbar, the cell grid, and the random variable graph and table.
init() - Method in class edu.uah.math.experiments.CrapsExperiment
This method initializes the experiment, including the record table, bet choice, toolbar, dice board, and the random variable graph and table.
init() - Method in class edu.uah.math.experiments.DiceExperiment
This method initializes the experiment, including the random variables, the record table, the buttons for the die probability dialog, the random variable choice, the slider for the number of dice, the toolbar, the dice board, and the random variable graph and table.
init() - Method in class edu.uah.math.experiments.DiceSampleExperiment
This method initializes the experiment, including the record table, die probability dialog button, toolbar, slider for the number of dice, and the dice board.
init() - Method in class edu.uah.math.experiments.DieCoinExperiment
This method initializes the experiment, including the record table, die and coins, the die probability dialog button, the slider for the probability of heads, the toolbar, and the random variable graph and table.
init(RandomVariable) - Method in class edu.uah.math.experiments.EstimateExperiment
This method initializes the experiment, including the toolbar with the sample size scroll and label, the random variable graph and table, and the statistics table.
init() - Method in class edu.uah.math.experiments.Experiment
This method initializes the experiment, by setting up the basic simulation buttons (step, run, stop, reset), and the update and stop choices on the main toolbar.
init() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method initializes the experiment by setting up the toolbar, random variable graph and table, timeline.
init() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This method initializes the experiment, including the ball panel, the random variable table and graph, the toolbar with the scrollbars and labels, and the record table.
init() - Method in class edu.uah.math.experiments.FireExperiment
This method initializes the experiment, including the toolbars, scrollbars, labels, and forest.
init() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method initializes the experiment, including the Galton board, random variable table and graph, and the toolbar.
init() - Method in class edu.uah.math.experiments.Game
This method initializes the game, including the basic toolbar with reset and about buttons, and the record table to record the outcome of the game.
init() - Method in class edu.uah.math.experiments.GammaEstimateExperiment
This method initializes the experiment, including the toolbar, scrollbars and labels.
init() - Method in class edu.uah.math.experiments.GammaExperiment
This method initializes the experiment, including the layout of the toolbar, timeline, random variable graph and table.
init() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method initializes the experiment, including the coin box, the toolbar with the random variable choice, and the random variable table and graph.
init() - Method in class edu.uah.math.experiments.MarkovChainExperiment
This method initialize the experiment, including the toolbar, record table, Markov chain, histogram, and data table.
init() - Method in class edu.uah.math.experiments.MatchExperiment
This method initializes the experiment, including the ball panel, the toolbar with scrollbar, and the random variable graph and table.
init() - Method in class edu.uah.math.experiments.MeanEstimateExperiment
This method initializes the experiment, including the toolbars with scrollbars and labels for changing parameters, choices for the sampling distribution, interval type, and confidence level, graphs and tables for the sampling variable, the standard score variable, and the success variable.
init() - Method in class edu.uah.math.experiments.MeanTestExperiment
This method initializes the experiment, including the slider for the parameters of the sampling distribution, the graph and table showing the reject random variable, the choice boxes for the type of sampling distribution, the type of test, the significnce leve, and the type of test statistic, and the toolbar.
init() - Method in class edu.uah.math.experiments.MontyHallExperiment
This method initializes the experiment, including the toolbar with the drop down boxes and scrollbar, the random variable table and graph, the record table, and the doors.
init() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method initializes the experiment by setting up the toolbar, random variable graph and table, timeline.
init() - Method in class edu.uah.math.experiments.NormalEstimateExperiment
This method intializes the experiment, including the toolbar and scrollbars.
init() - Method in class edu.uah.math.experiments.OrderStatisticExperiment
This method initializes the experiment, including the toolbar with scrollbars, the random variable graphs and tables.
init() - Method in class edu.uah.math.experiments.ParetoEstimateExperiment
This method initializes the experiment, including the addition of the parameter label and scrollbar to the toolbar
init() - Method in class edu.uah.math.experiments.PointExperiment
This method initializes the experiment, including the toolbar with scrollbars and labels, the random variable table and graph, the record table and the coin panel.
init() - Method in class edu.uah.math.experiments.Poisson2DExperiment
This method initializes the experiment, including the toolbar with scrollbars and labels, the scatterplot, and the random variable graph and table.
init() - Method in class edu.uah.math.experiments.PoissonExperiment
This method initializes the experiment, including the timeline, the random variable graph and table, the record table, and the toolbar containing the scrollbars and label.
init() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method initializes the experiment, including the toolbar with the scrollbars and labels, the random variable graphs and tables, the timeline and the record table.
init() - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method initializes the experiment, including the record table, the random variable graph and table, and the choice box for the stopping frequency.
init() - Method in class edu.uah.math.experiments.PokerExperiment
This method initializes the experiment, including the cards, random variable graph and table, and the record table.
init() - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
This method initializes the experiment, including the record table, the sliders for the parameters of the sampling distribution, the graphs of the sampling and test distributions, the choice boxes for the sampling and test distributions, the toolbar, the probability plot graph, amd the quantile table.
init() - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
This method initializes the experiment, including the record table, the sliders for the sample size and the probability of heads, the choice boxes for the type of interval and the significance level, the toolbar, the random variable graph and table for the success random varaible, and the estimate and standard score graphs.
init() - Method in class edu.uah.math.experiments.ProportionTestExperiment
This method initializes the experiment, including the record table, the sliders for the probability parameter and the test value, the graph and table for the reject random variable, the choice boxes for the significance level and type of test, the toolbar,
init() - Method in class edu.uah.math.experiments.QuantileApplet
This method initializes the applet, including the sliders for the parameters of the distribution, the about button, the choice box for the type of graph, the choice box for the type of distribution, the toolbar, and the quantile and probability fields.
init() - Method in class edu.uah.math.experiments.RandomVariableExperiment
This method initializes the experiment, including the toolbar with the distribution choice, scrollbars and label, and the random variable graph and table.
init() - Method in class edu.uah.math.experiments.RandomWalkExperiment
This method initializes the experiment, including the toolbar containing the scrollbar, choice, and label, the graph panel containing the random walk graph and the random variable graph, and the table panel containing the record table and the radnom walk table.
init() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method initializes the experiment, including the record table, the sliders for the probability of success and the initial fortune, the choice box fo the type of strategy and the target fortune, the toolbar, the red-black, success, and number of trials graphs, and the success and number of trials tables.
init() - Method in class edu.uah.math.experiments.RouletteExperiment
This method initializes the experiment by setting up the toolbar with the bet choice, and initializing the roulette wheel.
init() - Method in class edu.uah.math.experiments.SampleMeanExperiment
This method initializes the experiment, including the record table, the sliders for the parameters of the sampling distribution, the choice box for the type of distribution, the toolbar, the graphs of the sampling and sample mean random variables, the tables of the sampling and sample mean random variables.
init() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
Initialize the experiment: tables, graphs, scrollbars, labels, drop-down box
init() - Method in class edu.uah.math.experiments.SignTestExperiment
This method initializes the experiment, including the record table, the labels for the median, test median, and critical values, the sliders for the parameters of the sampling distribution, the sliders for the quantile and sample size, the choice box for the type of distribution, the toolbars, the sign test graph, the graph and table for the reject random variable, and the sample table.
init() - Method in class edu.uah.math.experiments.SpinnerExperiment
This method initializes the experiment, including the record table, the slider for the number of divisions, the button for the spinner probability dialog box, the random variable graph and table, and the toolbar.
init() - Method in class edu.uah.math.experiments.TriangleExperiment
This method initializes the experiment, including the toolbar, triangle, scatterplot, random variable graph and table.
init() - Method in class edu.uah.math.experiments.Uniform_E_EstimateExperiment
This method initializes the experiment by calling the initialization method in the superclass,and by setting up the toolbar containing the parameter scrollbar and label.
init() - Method in class edu.uah.math.experiments.UniformEstimateExperiment
This method initializes the experiment by calling the initialization method in the superclass,and by setting up the toolbar containing the prameter scrollbar and label.
init() - Method in class edu.uah.math.experiments.UrnExperiment
This method initialize the experiment, including the record table, the sliders for the number of balls, the sample size, and the number of red balls, the choice box for the type of sampling, the tool bar, the urn, and the graph and table for the number of red balls.
init() - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
This method initializes the experiment, including the record table, the label for the critical values, the sliders that control the parameters of the sampling distribution, the choice box for the type of distribution, the choice box for the type of interval, the choice box for the confidence level, the choice box for mu known or unknown, the toolbar, the estimate graph, the chi-square graph, the success graph, and the success table.
init() - Method in class edu.uah.math.experiments.VarianceTestExperiment
This method initializes the experiment, including the record table, the label for the critical values, the sliders for adjusting the parameters of the sampling distribution, the graph and table for the reject random variable, the choice box for the type of sampling distribution, the choice box for the type of text, the choice box for the significance level, the choice box for mu known or unknown, the toolbar, the test graph and chi-square graph, and the sample table.
init() - Method in class edu.uah.math.experiments.VoterExperiment
This method initializes the experiment, including the set of voters, the toolbar with choices and labels.
init() - Method in class edu.uah.math.games.BivariateGame
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
init() - Method in class edu.uah.math.games.ErrorGame
This method initializes the experiment, including the label for the class width, the slider for the number of classes, the choice for the type of histogram, the choice for the error function, the toolbar, the histogram, and the record table.
init() - Method in class edu.uah.math.games.GaltonBoardGame
This method initializes the experiment, including the buttons for moving the ball, the Galton board, and the record table.
init() - Method in class edu.uah.math.games.Game
This method initializes the game, including the basic toolbar with reset and about buttons, and the record table to record the outcome of the game.
init() - Method in class edu.uah.math.games.HistogramGame
This method initialize the applet, including the slider for adjusting the number of classes, the choice for the type of histogram, the choice of the type of summary statistics to display, the toolbar, the histogram, and the record table.
init() - Method in class edu.uah.math.games.MontyHallGame
This method initializes the game, including the toolbar buttons, doors, images.
init() - Method in class edu.uah.math.games.RedBlackGame
This method initializes the experiment, including the play button, the new game button, the slider for the probability of success, the slider for the amount of bet, the slider for the intial fortune, the choice box for the target fortune, the toolbar, the graph for the success random variable, the red-black graph, the table for the success random variable, the table for the outcome of the game, the table for the number of trials, and the record table.
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method initializes the Analysis, by setting up the basic tabbedPanes.
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.ServletCaller
 
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method initializes the Analysis, by setting up the basic tabbedPanes.
init() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
Initialize the Analysis
init() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
init() - Method in class edu.ucla.stat.SOCR.applications.Application
 
init() - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
This method initializes the application.
init() - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
init() - Method in class edu.ucla.stat.SOCR.applications.demo.NoApp
 
init() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
init() - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
init() - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
init() - Method in class edu.ucla.stat.SOCR.chart.Chart
This method initializes the Gui, by setting up the basic tabbedPanes.
init() - Method in class edu.ucla.stat.SOCR.chart.demo.AreaChartDemo1
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.BarChart3DDemo1
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.CompassDemo1
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo5
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo6
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.IndexChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1a
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1b
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.LineChartDemo2
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.NoChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.NormalDistributionDemo
sample code showing how to use ChartGenerator_JTable to create chart
init() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo1
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo2
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo3
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.QQData2DataDemo
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.QQNormalPlotDemo
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo2
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo4
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo1
 
init() - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo2
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperNormalDistributionChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_Time
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
init() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
init(double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
init() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
init() - Method in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
init() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
init() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
init() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
init() - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
init() - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
 
init() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
init() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
init() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
 
init() - Method in class edu.ucla.stat.SOCR.util.SOCRLogoApplet
 
init() - Method in class edu.ucla.stat.SOCR.util.SortItem
Initialize the applet.
initControlPanel() - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
 
initControlPanel() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
initGraph() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
initGraphPanel() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
initGraphPanel() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
initGraphPanel() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
initGraphPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
initGraphPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
initialize gui, however it don't have to create Controlpane from scratch, it should itialize the implementedFile add invoke addButton() to add buttons, if it is necessary
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
initialize gui, however it don't have to create Controlpane from scratch, it should itialize the implementedFile add invoke addButton() to add buttons, if it is necessary
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
initialize gui, however it don't have to create Controlpane from scratch, it should itialize the implementedFile add invoke addButton() to add buttons, if it is necessary
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRApplications
 
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRGames
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
initGUI() - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
initialize() - Method in class edu.uah.math.experiments.Experiment
 
initialize() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
used for some sublcass to initialize befrore be used
initialize() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
used for some sublcass to initialize befrore be used
initialize() - Method in class edu.ucla.stat.SOCR.applications.Application
 
initialize() - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
initialize() - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
initialize() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
initialize() - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
initialize() - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
initialize() - Method in class edu.ucla.stat.SOCR.core.Distribution
used for some subclass to initialize before being used
initialize() - Method in class edu.ucla.stat.SOCR.core.Experiment
used for some sublcass to initialize before be used
initialize() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.BenfordDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.BernoulliDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.CauchyDistribution
override just not let create valueSetters
initialize() - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.DieDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.DiscreteArcsineDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.DiscreteUniformDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Class initialization.
initialize() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.FiniteDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.GeometricDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.GompertzDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.MatchDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.BallotExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.BertrandExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.BetaCoinExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.BetaEstimateExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.BinomialCoinExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.BinomialTimelineExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.CardExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.ChiSquareFitExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.DiceSampleExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.EstimateExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.GammaExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.experiments.NormalEstimateExperiment
 
initialize() - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
initializeAnimation() - Method in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
initializeColorMap(int, int) - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Initialize this colormap.
InitializeKernel - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
initializePane() - Method in class edu.ucla.stat.SOCR.experiments.EstimateExperiment
 
initInputPanel() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
initKernel(Object, int, int) - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
initKernel(Object, int, int) - Method in class edu.ucla.stat.SOCR.util.Mixture
 
initMapPanel() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
initMapPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
initMapPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
initMixPanel() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
initMixPanel() - Method in class edu.ucla.stat.SOCR.chart.Chart
setup GUI layout for the show-all panel
initMixPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
initMixPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
initMLE() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
initResutlsTable() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
initScreenSize() - Static method in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
initTable() - Method in class edu.ucla.stat.SOCR.chart.Chart
setup GUI layout for the data panel including datatable and summary textArea
initTable() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
innerProduct(double[], double[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
innerProduct(double[], double[]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
INPUT - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
input - Variable in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
INPUT - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
input - Variable in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
input - Variable in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
inputCount - Variable in class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
inputDefault - Variable in class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
inputLongNames - Variable in class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
inputNames - Variable in class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
inputPanel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
inputPanel - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
inputValue - Variable in class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
inputXMLString - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
inputXMLString - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
inR - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
insert(String, String) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
insert(String, String) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
insertChildren(String, String) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
insertSiblingWithChildren(String, String) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
insertTableRows(int, int) - Method in class edu.ucla.stat.SOCR.util.SOCRJTable
 
insertUpdate(DocumentEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
inSigma - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
inSo - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
installUI(JComponent) - Method in class edu.ucla.stat.SOCR.util.EditableHeaderUI
 
INTERACTION_SWITCH - Static variable in class edu.ucla.stat.SOCR.analyses.command.AnovaTwoWayCSV
 
INTERACTION_SWITCH - Static variable in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
INTERACTIONOFF - Variable in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
INTERACTIONON - Variable in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
InteractiveHistogram - Class in edu.uah.math.devices
This class models an interactive histogram.
InteractiveHistogram(Domain) - Constructor for class edu.uah.math.devices.InteractiveHistogram
This general constructor creates a new interactive histogram corresponding to a specified domain.
InteractiveHistogram(double, double, double, int) - Constructor for class edu.uah.math.devices.InteractiveHistogram
This general constructor creates a new interactive histogram corresponding to a specified domain, given in terms of its parameters.
InteractiveHistogram() - Constructor for class edu.uah.math.devices.InteractiveHistogram
This default domain creates a new interactive histogram with the default domain (0, 1), with step size 0.1.
InteractiveHistogram - Class in edu.ucla.stat.SOCR.util
This class models an interactive histogram.
InteractiveHistogram(double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.InteractiveHistogram
This general constructor creates a new interactive histogram corresponding to a specified domain.
intercept - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
intercept - Variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
INTERVAL - Static variable in class edu.uah.math.experiments.MeanEstimateExperiment
 
INTERVAL - Static variable in class edu.uah.math.experiments.ProportionEstimateExperiment
 
INTERVAL - Static variable in class edu.uah.math.experiments.VarianceEstimateExperiment
 
INTERVAL - Static variable in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
 
INTERVAL - Static variable in class edu.ucla.stat.SOCR.experiments.ProportionEstimateExperiment
 
INTERVAL - Static variable in class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
 
IntervalData - Class in edu.uah.math.distributions
This class defines a simple implementation of an interval data distribution.
IntervalData(Domain, String) - Constructor for class edu.uah.math.distributions.IntervalData
This general constructor creates a new data distribution with a specified domain and a specified name.
IntervalData(double, double, double, String) - Constructor for class edu.uah.math.distributions.IntervalData
This general constructor creates a new data distribution with a specified (continuous) domain and a specified name.
IntervalData(Domain) - Constructor for class edu.uah.math.distributions.IntervalData
This special constructor creates a new data distribution with a specified domain and the default name "X".
IntervalData(double, double, double) - Constructor for class edu.uah.math.distributions.IntervalData
This spcial constructor creates a new data distribution with a specified (continuous) domain and the name "X".
IntervalData() - Constructor for class edu.uah.math.distributions.IntervalData
This default constructor creates a new data distribution on the interval [0, 1] with subintervals of length 0.1, and the default name "X".
IntervalData - Class in edu.ucla.stat.SOCR.distributions
This class defines a simple implementation of an interval data distribution.
IntervalData(Domain, String) - Constructor for class edu.ucla.stat.SOCR.distributions.IntervalData
This general constructor creates a new data distribution with a specified domain and a specified name
IntervalData(double, double, double, String) - Constructor for class edu.ucla.stat.SOCR.distributions.IntervalData
This general constructor creates a new data distribution with a specified domain and a specified name.
IntervalData(Domain) - Constructor for class edu.ucla.stat.SOCR.distributions.IntervalData
This special constructor creates a new data distribution with a specified domain and the default name "X".
IntervalData(double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.IntervalData
This spcial constructor creates a new data distribution with a specified domain and the name "X"
IntervalData() - Constructor for class edu.ucla.stat.SOCR.distributions.IntervalData
This default constructor creates a new data distribution on the interval [0, 1] with subintervals of length 0.1, and the default name "X".
intervalData - Variable in class edu.ucla.stat.SOCR.util.NormalCurve
 
intervals - Variable in class edu.ucla.stat.SOCR.util.varHistogram
 
IntervalType - Enum in edu.ucla.stat.SOCR.analyses.util
 
IntervalType - Enum in edu.ucla.stat.SOCR.experiments.util
Rahul Gidwani - UCLA Statistics
INTSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
intToBytes(int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Convert an int to an array of 4 bytes.
intValue() - Method in class edu.ucla.stat.SOCR.util.Numeric
 
INVALID_P_VALUE_CUTOFF - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
INVALID_P_VALUE_CUTOFF_1_TAIL - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
INVALID_P_VALUE_CUTOFF_2_TAIL - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
inverse(Matrix) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
inverse(Matrix) - Static method in class edu.ucla.stat.SOCR.util.Matrix
 
inverseCDF(double) - Method in class edu.ucla.stat.SOCR.core.Distribution
Inverse of the cumulative distribution function (CDF) of the specified distribution.
inverseCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Inverse of the cumulative Poisson distribution function.
inverseCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
Inverse of the cumulative InverseGaussian distribution function.
inverseCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
Computes the inverse Johnson SB CDF function
inverseCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
Computes the inverse Johnson SU CDF function
inverseCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
Inverse of the cumulative Normal distribution function.
inverseCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Inverse of the cumulative Poisson distribution function.
inverseCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
Inverse of the cumulative Student's T distribution function.
InverseGammaDistribution - Class in edu.ucla.stat.SOCR.distributions
Gamma distribution with a specified shape parameter and scale parameter.
InverseGammaDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
 
InverseGammaDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
 
InverseGammaDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
General Constructor: creates a new gamma distribution with shape parameter k and scale parameter b
InverseGammaDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
Default Constructor: creates a new gamma distribution with shape parameter 1 and scale parameter 1
InverseGammaFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
InverseGammaFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
InverseGammaFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
InverseGaussianDistribution - Class in edu.ucla.stat.SOCR.distributions
This class encapsulates the normal distribution with specified (mean, SD) parameters.
InverseGaussianDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
Default constructor creates a new Wald distribution with specified parameter values
InverseGaussianDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
This general constructor creates a new Wald distribution with specified parameter values
InverseGaussianDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
 
InverseGaussianDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
 
InverseGaussianDistribution(double, double, boolean) - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
 
InverseGaussianDistribution(double[], boolean) - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
 
InverseGaussianDistribution(float[], boolean) - Constructor for class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
 
InverseGaussianFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
InverseGaussianFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
InverseGaussianFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
inverseStdNormalCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
Inverse of the cumulative Standar-Normal distribution function.
invertColorMap() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
 
InvGammaDistr - Variable in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
InvGausDistr - Variable in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
invTransform(double[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.Daubechies
 
invTransform(float[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.Daubechies
 
invTransform(float[], int) - Static method in class edu.ucla.stat.SOCR.games.wavelet.Daubechies
 
invTransform(double[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastCDF2_4
 
invTransform(float[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastCDF2_4
 
invTransform(float[], int) - Static method in class edu.ucla.stat.SOCR.games.wavelet.FastCDF2_4
 
invTransform(double[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastDaubechies2
 
invTransform(float[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastDaubechies2
 
invTransform(float[], int) - Static method in class edu.ucla.stat.SOCR.games.wavelet.FastDaubechies2
 
invTransform(float[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastHaar
 
invTransform(double[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastHaar
 
invTransform(double[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastSymmlet8
 
invTransform(float[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastSymmlet8
 
invTransform(float[], int) - Static method in class edu.ucla.stat.SOCR.games.wavelet.FastSymmlet8
 
IS_LARGE_SAMPLE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
isAscending() - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedColumnInfo
Returns columns sort order
isBallDrawn() - Method in class edu.uah.math.devices.RouletteWheel
This method returns the boolean state of the ball
isCellEditable(int, int) - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Determines if the specified table cell is editable.
isCellEditable(int) - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
isCellEditable(int, int) - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTable
Returns true if the cell at row and column is editable.
isCellsEditable() - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTable
Returns true if the cells in the table are editable.
isCellsEditable() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
isChordDrawn() - Method in class edu.uah.math.devices.BertrandFloor
This method gets the chord drawn state
isCoinDropped() - Method in class edu.uah.math.devices.CoinFloor
This method returns the boolean condition of dorpping the coin.
isColumnAscending(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Returns true if columnIndex is sorted and sort mode is SortOrderConstants.ASCENDING, false otherwise.
isColumnDescending(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Returns true if columnIndex is sorted and sort mode is SortOrderConstants.DESCENDING, false otherwise.
isColumnSorted(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Returns true if column is sorted, false otherwise.
isConsensus() - Method in class edu.uah.math.devices.Voters
This method checks to see if the voters are all in the same state.
isContinuous() - Method in class edu.ucla.stat.SOCR.core.Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
isContinuous() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
isDataHighlyCorrelated(double[], double[]) - Static method in class edu.ucla.stat.SOCR.analyses.gui.DataValidation
 
isDataHighlyCorrelated(double[], double[]) - Static method in class edu.ucla.stat.SOCR.analyses.jri.gui.DataValidation
 
isDebug() - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
isDebug() - Static method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
isDemo - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
isDrawn() - Method in class edu.uah.math.devices.Ball
This method returns the state of the ball.
isDrawn() - Method in class edu.uah.math.devices.Urn
This method returns the common state of all of the balls.
isEditing() - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
isEmpty() - Method in class edu.ucla.stat.SOCR.analyses.data.Column
 
isExtensionListInDescription() - Method in class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Returns whether the extension list (.jpg, .gif, etc) should show up in the human readable description.
isFaceUp() - Method in class edu.uah.math.devices.Card
This method returns the showing state of the card.
isFaceUp() - Method in class edu.uah.math.devices.CardHand
This method returns the showing state of the deck.
isFitCellRect() - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultImageWrapper
Indicates whether the image should fit the cell.
isHeaderEditable - Variable in class edu.ucla.stat.SOCR.util.EditableHeaderTableColumn
 
isHeaderEditable() - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTableColumn
 
isHeadersEditable() - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTable
Returns true if the column headers are editable.
isHeadersEditable() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
isHighlightedItem(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Determines whether or not the item in the series is highlighted.
isInitialInput - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
isInitialInput - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
isItemLabelVisible(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Returns true if an item label is visible, and false otherwise.
isKeepAspectRatio() - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultImageWrapper
 
isLargeSample() - Method in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
isLastZeroShown() - Method in class edu.uah.math.devices.RandomWalkGraph
This method returns the boolean condition for showing the last zero
isMaxShown() - Method in class edu.uah.math.devices.RandomWalkGraph
This method returns the boolean condition for showing the maximum value
isMeanInterval() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
isMeanInterval() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
isMinShown() - Method in class edu.uah.math.devices.RandomWalkGraph
This method returns the boolean condition for showing the minimum value
isMLEInterval() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
isNeedleDropped() - Method in class edu.uah.math.devices.NeedleFloor
This method returns the boolean condition for the needle drop.
isNewDeath() - Method in class edu.uah.math.devices.Voters
This method checks to see if a state has died.
isNotify() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Returns a flag that controls whether or not change events are sent to registered listeners.
isOK() - Method in class edu.uah.math.devices.ProbabilityDialog
This method returns a flag that specifies whether the OK or Cancel buttons have been pushed.
isOK() - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
This method returns a flag that specifies whether the OK or Cancel buttons have been pushed.
isOK() - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
This method returns a flag that specifies whether the OK or Cancel buttons have been pushed.
isOK() - Method in class edu.uah.math.devices.TransitionMatrixDialog
This method returns the flag that specifies whether the OK or Cancel button has been pushed.
isOK() - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
This method returns the flag that specifies whether the OK or Cancel buttons have been pushed.
isOpened() - Method in class edu.uah.math.devices.Door
This method tests to see if the door is opened.
isOpened() - Method in class edu.ucla.stat.SOCR.util.Door
This method tests to see if the door is opened
isOutsideTheInterval(double, double) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
isOutsideTheInterval(double, double) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
isPathDrawn() - Method in class edu.uah.math.devices.GaltonBoard
This method returns the path drawn boolean variable.
isPosteriorDrawn() - Method in class edu.uah.math.devices.BetaGraph
This method returns the boolean condition for drawing the posterior graph.
isProportionInterval() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
isProportionInterval() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
isPullout(int) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
isReal(double) - Static method in class edu.uah.math.distributions.Functions
This class method tests to see if a specified number is real.
isReal(double) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This class method tests to see if a specified number is real.
isReal(double) - Static method in class edu.ucla.stat.SOCR.util.Graph
This class method tests to see if a specified number is real
isRolled() - Method in class edu.uah.math.devices.DiceBoard
This method returns the state of the dice (rolled or not rolled).
isRolled() - Method in class edu.uah.math.devices.Die
This method returns the state of the die (rolled or not rolled).
isSelected() - Method in class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
isSelectedCategory(Object) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Determines whether or not the category is selected.
isSelectedItem(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Determines whether or not the item in the series is selected.
isShowGraph() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
isSuccess() - Method in class edu.uah.math.devices.CriticalGraph
This method returns the boolean value of the success event.
isTossed() - Method in class edu.uah.math.devices.Coin
This method returns the state of the coin (tossed or untossed).
isTossed() - Method in class edu.uah.math.devices.CoinBox
This method returns the state of the all of the coins (tossed or untossed).
isValueDrawn() - Method in class edu.uah.math.devices.CriticalGraph
This method returns the boolean condition for drawing the empirical value.
isVarInterval() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
isVarInterval() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
isVotesCounted() - Method in class edu.uah.math.devices.BallotGraph
This method gets the state of the votes counted variable
isWalkShown() - Method in class edu.uah.math.devices.RandomWalkGraph
This method returns the boolean state for showing the random walk
isWhiteSpacePicked - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
isWinnerAlwaysAhead() - Method in class edu.uah.math.devices.BallotGraph
This method gets the state of the ballot event (true or false).
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.sampler
 
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
subclass should implement this method to do whatever needed coressponding the itemchanged event of JComboBox.
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
subclass should implement this method to do whatever needed coressponding the itemchanged event of JComboBox.
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
subclass should implement this method to do whatever needed coressponding the itemchanged event of JComboBox.
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplications
 
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRGames
 
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
itemChanged(String) - Method in class edu.ucla.stat.SOCR.core.WaveletLoader
 
items - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.BertrandExperiment
This method determines which model is used: random distance or random angle.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method handles events associated with the choice of the random variable, the number of heads or the proportion of heads can be chosen.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method handles the events associated with the combo box that is used to switch between the random variables: the number of successes and the proportion of successes.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.BirthdayExperiment
This method handles the choice events associated with the random variable choice.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.BivariateUniformExperiment
This method handles the choice events that occur when the distribuiton is changed.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.ChuckALuckExperiment
This method handles the choice events associated with the choice of the player's bet number.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.CrapsExperiment
This method handles the events associated with the choice of the player's bet.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.DiceExperiment
This method handles the choice events, including the choice of the die distribution and the choice of the selected variable.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.Experiment
This method handles the choice events, associated with the update and stop choices.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.FireExperiment
This method handles the choice events associated with changing the size of the forest and changing the edit color.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method handles the choice event, for selecting the random variable to display.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.Game
 
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.MeanEstimateExperiment
This method handles evens related to the choice boxes, for the choice of sampling distribution, interval type, significance level, type of pivot variable.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.MeanTestExperiment
This event handles the choice events associated with a change in the sampling distribution, a change in the type of test, a change in the significance level, or a change in the type of test statistic.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.MontyHallExperiment
This method handles the choice event that determines whether the host follows the standard strategy or the blind strategy.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.OrderStatisticExperiment
This method handles the choice events that correspond to changing the basic distribution.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method handles events for the stop frequency choice box.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.PokerExperiment
This method handles events for the stop frequency choice box.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
This method handles the choice events associated with changing the sampling distribution or the test distribution.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
This method handles the choice events associated with changing the interval type of the confidence level.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.ProportionTestExperiment
This method handles the choice events associated with changing the type of test and the
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.QuantileApplet
This method handles the choice events associated with changes in the type of graph (density or quantile) and changes in the distribution type.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.RandomVariableExperiment
This method handles the choice events for changing the selected distribution.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.RandomWalkExperiment
This method handles the event associated with the random variable choice.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.RedBlackExperiment
This method handles the choice events associated with a change in strategy or a change in the target fortune.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.RouletteExperiment
This method sets the distribution when the bet has changed.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.SampleMeanExperiment
This method handles the choice events associated with changing the sampling distribution.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.SignTestExperiment
This method handles the choice events associated with changes in the sampling distribution.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.UrnExperiment
This method handles the events associated with the choice box that determines the type of sampling.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
This method handles the choice events associated with changing distribution type, interval type, confidence level, or the state of knowledge of mu.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.VarianceTestExperiment
This method handles the choice events associated with a change of distribution type, test type, significance level, or state of knowledge of mu.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.experiments.VoterExperiment
This method handles the events associated with the stop choice and the voter choice.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.games.ErrorGame
This method handles the choice events associated with the changing the type of the frequency distribution, the type of error graph, and the type of summary statistics.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.games.Game
 
itemStateChanged(ItemEvent) - Method in class edu.uah.math.games.HistogramGame
This method handles the choice events associated with changes in the histogram type and changes in the type of summary statistics to display.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.games.MontyHallGame
This method handles the events for the choice of host strategy, blind or standard.
itemStateChanged(ItemEvent) - Method in class edu.uah.math.games.RedBlackGame
This method handles the choice events assoicated with changing the target fortune.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.core.Experiment
This method handles the choice events, associated with the update and stop choices.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.BertrandExperiment
Determine which model is used: random distance or random angle
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.BinomialCoinExperiment
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.BinomialTimelineExperiment
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.BivariateUniformExperiment
This method handles the choice events that occur when the distribuiton is changed.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.ChiSquareFitExperiment
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.ChuckALuckExperiment
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.DiceExperiment
This method handles the choice events, including the choice of the die distribution and the choice of the selected variable
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.FireExperiment
This method handles the choice events associated with changing the size of the forest and changing the edit color.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.GaltonBoardExperiment
This method handles the choice event, for selecting the random variable to display
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
This event handles the choice events associated with a change in the sampling distribution, a change in the type of test, a change in the significance level, or a change in the knowledge of sigma.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.MontyHallExperiment
This method handles the choice event that determines whether the host follows the standard strategy or the blind strategy
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.OrderStatisticExperiment
This method handles the choice events that correspond to changing the basic distribution.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.PokerDiceExperiment
This method causes the experiment to stop when the hand is a certain value.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.PokerExperiment
This method overrides the corresponding method in Experiment, to determine when stops occur automatically in run mode
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.ProbabilityPlotExperiment
This method handles the choice events associated with changing the sampling distribution or the test distribution.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.ProportionEstimateExperiment
This method handles the choice events associated with changing the interval type of the confidence level.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
This method handles the choice events associated with changing the type of test and the significance level.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.RandomVariableExperiment
This method handles the choice events for changing the selected distribution
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.RandomWalkExperiment
This method handles the event associated with the random variable choice.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
This method handles the choice events associated with a change in strategy or a change in the target.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
This method sets the distribution when the bet has changed.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.SampleMeanExperiment
This method handles the choice events associated with changing the sampling distribution.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.SignTestExperiment
This method handles the choice events associated with changes in the sampling distribution.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.UrnExperiment
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
This method handles the choice events associated with changing distribution type, interval type, confidence level, or the state of knowledge of mu.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
This method handles the choice events associated with a change of distribution type, test type, significance level, or state of knowledge of mu.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.experiments.VoterExperiment
This method handles the events associated with the stop choice and the voter choice.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.games.ErrorGame
This method handles the choice events associated with the changing the type of the frequency distribution, the type of error graph, and the type of summary statistics.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.games.HistogramGame
This method handles the choice events associated with changes in the histogram type and changes in the type of summary statistics to display.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.games.MontyHallGame
This method handles the events for the host choice
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.games.RedBlackGame
This method handles the choice events assoicated with changing the target fortune.
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
itemStateChanged(ItemEvent) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
IterationsField - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
IterationsLabel - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
IValueSettable - Interface in edu.ucla.stat.SOCR.core
this interface means the object provides one or more ValueSetter through which the client changes the value.

J

j0(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the BesselFunction function of the first kind of order 0 of the argument.
j1(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the BesselFunction function of the first kind of order 1 of the argument.
JACK - Static variable in class edu.uah.math.devices.Card
 
JACK - Static variable in class edu.ucla.stat.SOCR.util.Card
 
JarResources - Class in edu.ucla.stat.SOCR.util
JarResources: JarResources maps all resources included in a Zip or Jar file.
JarResources(String) - Constructor for class edu.ucla.stat.SOCR.util.JarResources
creates a JarResources.
JAVA_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
JAVA_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
jgraph - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
jgraphPanel - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
jn(int, double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the BesselFunction function of the first kind of order n of the argument.
JohnsonSBDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Johnson SB (Special Bounded) distribution with specified first 4 parameters (mean, SD, skewness, kurtosis): The Johnson family of distributions (N.L.
JohnsonSBDistribution(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
This general constructor creates a new JohnsonSBDistribution distribution with specified parameters
JohnsonSBDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
Default constructor: creates a beta distribution with xi and lambda parameters equal to 1
JohnsonSUDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Johnson SU (Special Unbounded) distribution with specified first 4 parameters (mean, SD, skewness, kurtosis): The Johnson family of distributions (N.L.
JohnsonSUDistribution(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This general constructor creates a new JohnsonSBDistribution distribution with specified parameters
JohnsonSUDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
Default constructor: creates a beta distribution with xi and lambda parameters equal to 1
journal - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
JRIAnalysis - Class in edu.ucla.stat.SOCR.analyses.jri.gui
 
JRIAnalysis() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.gui.JRIAnalysis
 
JRIAnalysisType - Class in edu.ucla.stat.SOCR.analyses.jri.gui
 
JRIAnalysisType() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.gui.JRIAnalysisType
 
jriBusy(int) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
jriChooseFile(int) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
jriFlushConsole() - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
jriLoadHistory(String) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
jriReadConsole(String, int) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
JRIRequestDispatcher - Class in edu.ucla.stat.SOCR.analyses.xml
 
JRIRequestDispatcher() - Constructor for class edu.ucla.stat.SOCR.analyses.xml.JRIRequestDispatcher
 
jriSaveHistory(String) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
jriShowMessage(String) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
jriWriteConsole(String) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
JScrollPaneAdjuster - Class in edu.ucla.stat.SOCR.util
 
JScrollPaneAdjuster(JScrollPane) - Constructor for class edu.ucla.stat.SOCR.util.JScrollPaneAdjuster
 
JTableRowHeaderResizer - Class in edu.ucla.stat.SOCR.util
 
JTableRowHeaderResizer(JScrollPane) - Constructor for class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
jTextAreaPane - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
jTextAreaPane - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 

K

k - Variable in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
k - Variable in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
 
k0(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the modified BesselFunction function of the third kind of order 0 of the argument.
k0e(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the exponentially scaled modified BesselFunction function of the third kind of order 0 of the argument.
k1(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the modified BesselFunction function of the third kind of order 1 of the argument.
k1e(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the exponentially scaled modified BesselFunction function of the third kind of order 1 of the argument.
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
kernalVar - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
kernalVarField - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
kernel - Variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
kernel - Variable in class edu.ucla.stat.SOCR.util.Mixture
 
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
KeyListener implementation - for search field
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
keyPressed(KeyEvent) - Method in class edu.ucla.stat.SOCR.util.SOCRJTable
 
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
keyListener implement
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
keyListener implement
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
keyReleased(KeyEvent) - Method in class edu.ucla.stat.SOCR.util.SOCRJTable
 
keys - Variable in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
keyType - Variable in class edu.ucla.stat.SOCR.motionchart.MotionKey
 
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
keyListener
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
keyListener
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.util.ObservableWrapper
 
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
keyTyped(KeyEvent) - Method in class edu.ucla.stat.SOCR.util.SOCRJTable
 
KeyUtil - Class in edu.ucla.stat.SOCR.servlet.util
 
KeyUtil() - Constructor for class edu.ucla.stat.SOCR.servlet.util.KeyUtil
 
KING - Static variable in class edu.uah.math.devices.Card
 
KING - Static variable in class edu.ucla.stat.SOCR.util.Card
 
kn(int, double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the modified BesselFunction function of the third kind of order nn of the argument.
KOLMOGOROV_SMIRNOFF - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
KolmogorovDistribution - Class in edu.ucla.stat.SOCR.distributions
This class defines the Kolmogorov distribution with a specifed parameter n>=1.
KolmogorovDistribution(int) - Constructor for class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
This general constructor creates a new Kolmogorov distribuiton with a specified parameter number of independent observations (degrees)
KolmogorovDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
 
KolmogorovSmirnoff - Class in edu.ucla.stat.SOCR.analyses.gui
Two Independent T Test
KolmogorovSmirnoff() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
 
KolmogorovSmirnoff - Class in edu.ucla.stat.SOCR.analyses.model
 
KolmogorovSmirnoff() - Constructor for class edu.ucla.stat.SOCR.analyses.model.KolmogorovSmirnoff
 
KolmogorovSmirnoffCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
KolmogorovSmirnoffCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.KolmogorovSmirnoffCSV
 
KolmogorovSmirnoffExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
KolmogorovSmirnoffExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.KolmogorovSmirnoffExamples
Constructor method for simple data generation for regression/correlation tests
KolmogorovSmirnoffExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.KolmogorovSmirnoffExamples
Constructor method for sampel data for ANOVA analysis.
KolmogorovSmirnoffResult - Class in edu.ucla.stat.SOCR.analyses.result
 
KolmogorovSmirnoffResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
Constructors
KolmogorovSmirnoffResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
KruskalWallisTest - Class in edu.ucla.stat.SOCR.analyses.data
 
KruskalWallisTest(DataCase[][], String[]) - Constructor for class edu.ucla.stat.SOCR.analyses.data.KruskalWallisTest
 
KS_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
KS_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
KS_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
KS_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
KS_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
KS_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
KS_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
KS_8 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 

L

L_half(double) - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method computes the maximum value of the getDensity function.
labels - Static variable in class edu.uah.math.devices.Coin
 
labels - Variable in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
labelTitles - Variable in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
labelWidth - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
LANGSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
LaplaceDistr - Variable in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
LaplaceDistribution - Class in edu.ucla.stat.SOCR.distributions
This class defines the Laplace distribution with parameters mu & beta.
LaplaceDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
This general constructor creates a new exponential distribution with a specified rate
LaplaceDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
This default constructor creates a new exponential distribution with rate 1
LaplaceFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
LaplaceFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
LaplaceFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
larger_row_count - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
LayeredBarChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a layered bar chart.
LayeredBarChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.LayeredBarChartDemo1
 
LayeredBarChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a layered bar chart.
LayeredBarChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.LayeredBarChartDemo2
 
layoutResults() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
lDataPts - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
LEFT - Static variable in class edu.uah.math.devices.DiceBoard
 
LEFT - Static variable in class edu.uah.math.devices.Die
 
LEFT - Static variable in class edu.uah.math.devices.Forest
 
LEFT - Static variable in class edu.uah.math.devices.Graph
 
LEFT - Static variable in class edu.uah.math.distributions.DieDistribution
 
LEFT - Static variable in class edu.uah.math.experiments.MeanTestExperiment
 
LEFT - Static variable in class edu.uah.math.experiments.ProportionTestExperiment
 
LEFT - Static variable in class edu.uah.math.experiments.VarianceTestExperiment
 
LEFT - Static variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Orientation of the triangle
LEFT - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
left - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
LEFT - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
LEFT - Static variable in class edu.ucla.stat.SOCR.distributions.DieDistribution
 
LEFT - Static variable in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
 
LEFT - Static variable in class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
 
LEFT - Static variable in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
 
left - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
LEFT - Static variable in class edu.ucla.stat.SOCR.util.DiceBoard
 
LEFT - Static variable in class edu.ucla.stat.SOCR.util.Die
 
LEFT - Static variable in class edu.ucla.stat.SOCR.util.Forest
 
LEFT - Static variable in class edu.ucla.stat.SOCR.util.Graph
 
leftAnalysisChoicePanel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
leftAnalysisChoicePanel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
leftCDFValue - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
leftCDFValue - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
leftControl - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
leftCutOff - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
leftCutOff - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
leftCutOffLabel - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
leftCutOffLabel - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
leftCutOffValue - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
leftCutOffValue - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
leftLimitField - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
leftLimitLabel - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
leftMargin - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
leftMargin - Variable in class edu.ucla.stat.SOCR.util.Graph
 
leftPanel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
leftPanel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
leftParamField - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
leftParamField - Variable in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
leftParamField - Variable in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
leftParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
leftParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
leftParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
leftx - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
LEGEND_SWITCH - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
LEGENDOFF - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
LEGENDON - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
legendPanel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
legendPanelOn - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
leig(double) - Method in class edu.ucla.stat.SOCR.util.Matrix
 
len - Variable in class edu.ucla.stat.SOCR.distributome.data.Edge
 
levelFactor(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.Regression
 
levelFactor(String[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
levelFactorTree(String[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
LGLSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
likelihood() - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
likelihood() - Method in class edu.ucla.stat.SOCR.util.Mixture
 
LINE_CHART - Static variable in class edu.ucla.stat.SOCR.chart.ChartType
 
LinearModel - Class in edu.ucla.stat.SOCR.analyses.jri.xml
 
LinearModel() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
LinearModel - Class in edu.ucla.stat.SOCR.analyses.ri
 
LinearModel() - Constructor for class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
LinearModelResult - Class in edu.ucla.stat.SOCR.analyses.jri.result
 
LinearModelResult(HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
LinearModelResult(HashMap<String, Object>, HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
LinearModelResult(String) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
LinearModelResult(Document) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
LinearModelResult - Class in edu.ucla.stat.SOCR.analyses.result
 
LinearModelResult(HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
LinearModelResult(HashMap<String, Object>, HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
LinearModelResult(String) - Constructor for class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
LinearModelResult(Document) - Constructor for class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
LinearModelResult.Intercept - Class in edu.ucla.stat.SOCR.analyses.jri.result
 
LinearModelResult.Intercept - Class in edu.ucla.stat.SOCR.analyses.result
 
LinearModelResult.PlotData - Class in edu.ucla.stat.SOCR.analyses.jri.result
 
LinearModelResult.PlotData - Class in edu.ucla.stat.SOCR.analyses.result
 
LinearModelResult.Predictor - Class in edu.ucla.stat.SOCR.analyses.jri.result
 
LinearModelResult.Predictor - Class in edu.ucla.stat.SOCR.analyses.result
 
LineChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from a CategoryDataset.
LineChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1
 
LineChartDemo1a - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from a CategoryDataset.
LineChartDemo1a() - Constructor for class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1a
 
LineChartDemo1b - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from a CategoryDataset.
LineChartDemo1b() - Constructor for class edu.ucla.stat.SOCR.chart.demo.LineChartDemo1b
 
LineChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
LineChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.LineChartDemo2
 
LineChartDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
This line chart demo shows many series, each displaying a different shape.
LineChartDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.LineChartDemo3
 
LineChartDemo5 - Class in edu.ucla.stat.SOCR.chart.demo
A line chart demo showing the use of a custom drawing supplier.
LineChartDemo5() - Constructor for class edu.ucla.stat.SOCR.chart.demo.LineChartDemo5
 
LineChartDemo6 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
LineChartDemo6() - Constructor for class edu.ucla.stat.SOCR.chart.demo.LineChartDemo6
 
LinkLabel - Class in edu.ucla.stat.SOCR.distributome.gui
 
LinkLabel(String) - Constructor for class edu.ucla.stat.SOCR.distributome.gui.LinkLabel
 
listAdded - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
listAdded - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
listAdded - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
listCensor - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
listCensor - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
listDepRemoved - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
listDepRemoved - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
listDepRemoved - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
listGroupNames - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
listGroupNames - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
listIndepRemoved - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
listIndepRemoved - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
listIndepRemoved - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
listIndex - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
listIndex - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
listIndex - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
listOfTicks - Variable in class edu.ucla.stat.SOCR.util.varHistogram
This general constructor creates a new data graph with a specified data set and axis type.
listPulloutRemoved - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
listSurvivalRate() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
LISTSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
listTime - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
listTime - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
listToByteArray(ArrayList) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
listToDoubleArray(ArrayList<Double>) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
listToDoubleArray(ArrayList<Double>) - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
listToDoubleArray(ArrayList) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
listToIntArray(ArrayList<Integer>) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
listToIntArray(ArrayList<Integer>) - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
listToIntArray(ArrayList) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
listToSurvivalObjectArray() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
LLN_SimpleExperiment - Class in edu.uah.math.experiments
This experiment consists of tossing n coins, each with probability of heads p.
LLN_SimpleExperiment() - Constructor for class edu.uah.math.experiments.LLN_SimpleExperiment
 
lm() - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
lm_xml(Rengine) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
lModelAdded - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
lModelDep - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
lModelIndep - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
lModelPullout - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
LOAD_FILE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
LOAD_FILE - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
loadAClass(String) - Static method in class edu.ucla.loni.LOVE.PluginLoader
Load a single class as specified by the parameter.
LoadAndShowFormula - Class in edu.ucla.stat.SOCR.distributome.gui
 
LoadAndShowFormula(BufferedImage, String) - Constructor for class edu.ucla.stat.SOCR.distributome.gui.LoadAndShowFormula
 
LoadAndShowFormula() - Constructor for class edu.ucla.stat.SOCR.distributome.gui.LoadAndShowFormula
 
loadClass(int) - Method in class edu.ucla.stat.SOCR.util.PluginLoader
 
loadClass(String) - Method in class edu.ucla.stat.SOCR.util.SimpleClassLoader
This is a simple version for external clients since they will always want the class resolved before it is returned to them.
loadClass(String, boolean) - Method in class edu.ucla.stat.SOCR.util.SimpleClassLoader
This is the required version of loadClass which is called both from loadClass above and from the internal function FindClassFromClass.
loadDirectory(String) - Static method in class edu.ucla.loni.LOVE.PluginLoader
Load the classes in a directory .plugins.* Example of usage: loadDirectory("edu.ucla.loni.LOVE.plugin.colormap");
loadEdge(Edge) - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
loadEdge(int, Edge) - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
loadElements(SOCRNode) - Method in class edu.ucla.stat.SOCR.distributome.editor.DistributomeEditor
 
loadElements(Edge) - Method in class edu.ucla.stat.SOCR.distributome.editor.DistributomeEditor
 
loadElements(Formula) - Method in class edu.ucla.stat.SOCR.distributome.editor.DistributomeEditor
 
loadElements(Reference) - Method in class edu.ucla.stat.SOCR.distributome.editor.DistributomeEditor
 
loadFormula(Formula) - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
loadFormula(int, Formula) - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
loadImage(BufferedImage) - Method in class edu.ucla.stat.SOCR.distributome.gui.LoadAndShowFormula
 
loadNode(SOCRNode) - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
loadNode(int, SOCRNode) - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
loadRef(Reference) - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
loadRef(int, Reference) - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
 
loadSlider(double[], double[], double[]) - Method in class edu.ucla.stat.SOCR.applications.Application
 
loadSlider(double[], double[], double[]) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
locationParamField - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
locationParamField - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
locationParamField - Variable in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
locationParamField - Variable in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
locationParamField - Variable in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
locationParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
locationParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
locationParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
locationParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
locationParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
LocationScaleDistribution - Class in edu.uah.math.distributions
This class applies a location-scale tranformation to a given distribution.
LocationScaleDistribution(Distribution, double, double) - Constructor for class edu.uah.math.distributions.LocationScaleDistribution
This general constructor creates a new location-scale transformation on a given distribuiton with given location and scale parameters.
LocationScaleDistribution() - Constructor for class edu.uah.math.distributions.LocationScaleDistribution
This default constructor creates a new location-scale distribution on the normal distribution with location parameter 0 and scale parameter 1.
LocationScaleDistribution - Class in edu.ucla.stat.SOCR.distributions
This class applies a location-scale tranformation to a given distribution.
LocationScaleDistribution(Distribution, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.LocationScaleDistribution
This general constructor creates a new location-scale transformation on a given distribuiton with given location and scale parameters
lock() - Method in class edu.ucla.stat.SOCR.JRI.Mutex
locks the mutex.
lockWithTimeout(long) - Method in class edu.ucla.stat.SOCR.JRI.Mutex
locks the mutex.
log(double, double) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Returns logbasevalue.
log10(double) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Returns log10value.
log10(double) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
log2(double) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Returns log2value.
LOG_NORMAL_SCORE_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
LOG_NORMAL_SCORE_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
LogarithmicSeriesDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implmentation of the LogarithmicSeries distribution with specified shape (shape) parameters http://en.wikipedia.org/wiki/Logarithmic_distribution .
LogarithmicSeriesDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Default constructor: creates a default Logarithmic Series distribution
LogarithmicSeriesDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
 
LogarithmicSeriesDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
 
LogarithmicSeriesDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
 
LogarithmicSeriesFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
LogarithmicSeriesFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
LogarithmicSeriesFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
logFactorial(int) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Returns log(k!).
logFactorials - Static variable in class edu.ucla.stat.SOCR.util.BesselArithmetic
 
logGamma(double) - Static method in class edu.uah.math.distributions.Functions
This method computes the log of the gamma function.
logGamma(double) - Static method in class edu.ucla.stat.SOCR.core.Distribution
This method computes the log of the gamma function.
logGamma(double) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method computes the log of the gamma function.
LOGISTIC_REGRESSION - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
LogisticDistr - Variable in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
LogisticDistribution - Class in edu.uah.math.distributions
This class models the logistic distribution.
LogisticDistribution() - Constructor for class edu.uah.math.distributions.LogisticDistribution
This default constructor creates a new logsitic distribution and sets up the default computational domain (−7, 7).
LogisticDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the logistic distribution
LogisticDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.LogisticDistribution
This general constructor creates a new Logistic distribution with specified parameter values
LogisticDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.LogisticDistribution
This default constructor creates a new logsitic distribution
LogisticDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.LogisticDistribution
 
LogisticDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.LogisticDistribution
 
LogisticExponentialDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the LogisticExponential distribution http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/lexpdf.htm
LogisticExponentialDistribution(double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This general constructor creates a new LogisticExponential distribution with specified parameter values
LogisticExponentialDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This default constructor creates a new logitic-exponential distribution
LogisticFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
LogisticFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
LogisticFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
LogisticRegression - Class in edu.ucla.stat.SOCR.analyses.jri.gui
this class is for logistic Regression only.
LogisticRegression() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
 
LogisticRegression - Class in edu.ucla.stat.SOCR.analyses.jri.xml
 
LogisticRegression() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
LogisticRegressionResult - Class in edu.ucla.stat.SOCR.analyses.jri.result
 
LogisticRegressionResult(HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
Constructors
LogisticRegressionResult(HashMap<String, Object>, HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
LogisticRegressionResult(String) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
LogisticRegressionResult(Document) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
LogNormalDistr - Variable in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
LogNormalDistribution - Class in edu.uah.math.distributions
This class models the lognormal distribution with specified parameters.
LogNormalDistribution(double, double) - Constructor for class edu.uah.math.distributions.LogNormalDistribution
This general constructor creates a new lognormal distribution with specified parameters.
LogNormalDistribution() - Constructor for class edu.uah.math.distributions.LogNormalDistribution
This default constructor creates the standard lognormal distribution.
LogNormalDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the lognormal distribution with specified (mean & SD) parameters.
LogNormalDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This general constructor creates a new lognormal distribution with specified parameters
LogNormalDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This default constructor creates the standard lognormal distribution
LogNormalFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
LogNormalFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
LogNormalFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
LOGPI - Static variable in class edu.ucla.stat.SOCR.util.BesselConstants
 
LogSeriesDistr - Variable in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
LomaxDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Lomax distribution (Pareto-distribution of hte second-kind) with a specified parameters (alpha=shape1; gamma=shape2).
LomaxDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.LomaxDistribution
This general constructor creates a new Lomax distribuiton with specified parameters, alpha and gamma
LomaxDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.LomaxDistribution
The default constructor creates a new Lomax distribution with parameters (a=1, gamma)
LomaxDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.LomaxDistribution
The default constructor creates a new Lomax distribution with parameters (1, 1)
longFactorial(int) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Instantly returns the factorial k!.
longFactorials - Static variable in class edu.ucla.stat.SOCR.util.BesselArithmetic
 
longToBytes(long) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Convert a long to an array of 8 bytes.
longValue() - Method in class edu.ucla.stat.SOCR.util.Numeric
 
lookup(short) - Static method in class edu.ucla.stat.SOCR.analyses.jri.gui.JRIAnalysisType
 
lookup(short) - Static method in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
lookup(short) - Static method in class edu.ucla.stat.SOCR.analyses.ri.RIAnalysisType
 
lookup(short) - Static method in class edu.ucla.stat.SOCR.chart.ChartType
 
lookupComponents() - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
LOWER_BOUND - Static variable in class edu.uah.math.experiments.MeanEstimateExperiment
 
LOWER_BOUND - Static variable in class edu.uah.math.experiments.ProportionEstimateExperiment
 
LOWER_BOUND - Static variable in class edu.uah.math.experiments.VarianceEstimateExperiment
 
LOWER_BOUND - Static variable in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
 
LOWER_BOUND - Static variable in class edu.ucla.stat.SOCR.experiments.ProportionEstimateExperiment
 
LOWER_BOUND - Static variable in class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
 
LOWER_P - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
LOWER_Q - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
lowerBound - Variable in class edu.ucla.stat.SOCR.distributions.Domain
 
lowerParamField - Variable in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
lowerParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
lowerValue - Variable in class edu.ucla.stat.SOCR.distributions.Domain
 

M

m - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
MACHEP - Static variable in class edu.ucla.stat.SOCR.util.BesselConstants
 
MAD - Static variable in class edu.uah.math.devices.DataTable
 
MAD - Static variable in class edu.uah.math.devices.DistributionGraph
 
MAD - Static variable in class edu.uah.math.devices.Histogram
 
MAD - Static variable in class edu.ucla.stat.SOCR.util.DataGraph
 
MAD - Static variable in class edu.ucla.stat.SOCR.util.Histogram
 
MAD - Static variable in class edu.ucla.stat.SOCR.util.varHistogram
 
main(String[]) - Static method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Test Program
main(String[]) - Static method in class edu.ucla.loni.LOVE.colormap.ColorMapControlPanel
main method to test this class.
main(String[]) - Static method in class edu.ucla.loni.LOVE.PluginLoader
Test program
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.AnovaOneWayCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.AnovaTwoWayCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.ChiSquareContingencyTableCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.ChiSquareModelFitCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.DichotomousProportionCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.FisherExactCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.FlignerKilleenCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.KolmogorovSmirnoffCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.MultiRegressionCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.OneTCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.SimpleRegressionCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.SplitMaskPositiveNegativeAnalysisResults
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.TwoIndependentFriedmanCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.TwoIndependentKruskaCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.TwoIndependentKruskalWallisCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.TwoIndependentTest
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.TwoIndependentWilcoxonCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.TwoPairedSignedTestCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.TwoPairedTCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.TwoPairSignedRankCSV
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
FDR object main method
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.VolumeMultipleRegression
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.data.Data
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.data.DataFrame
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.data.ProbabilityList
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.example.AnovaOneWayExamples
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.example.ExampleDataOnServer
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.example.MultiIndependentKruskalWallisExample
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.example.RandomExample
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.example.SimpleLinearRegressionExamples
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.example.SurvivalKaplanMeierExample
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.gui.SimpleTableDemo
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.gui.TableDemo
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.jri.gui.Encryptor
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.AnovaOneWay
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.ConfidenceInterval
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.DichotomousProportion
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.KolmogorovSmirnoff
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentWilcoxon
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.ri.Encryptor
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.xml.AnalysisOutput
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.analyses.xml.XMLComposer
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.core.CreateImplementationFile
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.core.CreateImplementedChartsFile
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.distributome.editor.DistributomeEditor
Main application method.
main(String[]) - Static method in class edu.ucla.stat.SOCR.gui.AnimatedSamplePane
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.servlet.analyses.RInterface
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.servlet.util.CryptoUtil
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.Frequency
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.Graph
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.GZIP
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.JarResources
Is a test driver.
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.Matrix
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.RandomGenerator
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.RegressionLine
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
main(String[]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
mainPane - Variable in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
makeFormulae(String) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
makeObservable(Distribution) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
makeObservable(Distribution) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
makeSequence(double, double, double) - Static method in class edu.ucla.stat.SOCR.analyses.model.KolmogorovSmirnoff
 
makeSequence(double, double) - Static method in class edu.ucla.stat.SOCR.analyses.model.KolmogorovSmirnoff
 
map - Variable in class edu.ucla.stat.SOCR.util.NormalCurve
 
mapDep - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
mapDep - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
mapIndep - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
mapIndep - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
mapPanel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
MAPPING - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
MAPPING - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
MAPPING - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
mappingInnerPanel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
mappingInnerPanel - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
mappingKeys - Variable in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
mappingPanel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
mappingPanel - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
mappings - Variable in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
mapPullout - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
mapToArray(HashMap<String, ArrayList<String>>) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
 
MarkovChainExperiment - Class in edu.uah.math.experiments
This class models a basic Markov chain with state space {0, 1, ..., n}.
MarkovChainExperiment() - Constructor for class edu.uah.math.experiments.MarkovChainExperiment
 
maskPValues() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
maskPValues() method This method extracts only the pValues that are under the mask (shrinks the pvalues array) Extract the data under the mask! p_values * mask -> MaskedPvalues --FDR--> thresholdedPMap -> FuseWithMask -> Results
MatchDistribution - Class in edu.uah.math.distributions
This class models the distribution of the number of matches in a random permutation.
MatchDistribution(int) - Constructor for class edu.uah.math.distributions.MatchDistribution
This general constructor creates a new matching distribution with a specified parameter.
MatchDistribution() - Constructor for class edu.uah.math.distributions.MatchDistribution
This default constructor creates a new mathcing distribuiton with parameter 5.
MatchDistribution - Class in edu.ucla.stat.SOCR.distributions
The distribution of the number of matches in a random permutation
MatchDistribution(int) - Constructor for class edu.ucla.stat.SOCR.distributions.MatchDistribution
This general constructor creates a new matching distribution with a specified parameter
MatchDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.MatchDistribution
this default constructor creates a new mathcing distribuiton with parameter 5
MatchExperiment - Class in edu.uah.math.experiments
This class models the matching experiment.
MatchExperiment() - Constructor for class edu.uah.math.experiments.MatchExperiment
 
MathFunction - Interface in edu.ucla.stat.SOCR.util
This interface should be implemented by classes which represent univariate mathematical functions.
Matrix - Class in edu.ucla.stat.SOCR.util
 
Matrix() - Constructor for class edu.ucla.stat.SOCR.util.Matrix
 
Matrix(int, int) - Constructor for class edu.ucla.stat.SOCR.util.Matrix
 
Matrix(JTable) - Constructor for class edu.ucla.stat.SOCR.util.Matrix
 
Matrix(double) - Constructor for class edu.ucla.stat.SOCR.util.Matrix
 
Matrix(int, int, double) - Constructor for class edu.ucla.stat.SOCR.util.Matrix
 
Matrix(int, int, double[][]) - Constructor for class edu.ucla.stat.SOCR.util.Matrix
 
Matrix(Matrix) - Constructor for class edu.ucla.stat.SOCR.util.Matrix
 
Matrix(int, int, char) - Constructor for class edu.ucla.stat.SOCR.util.Matrix
 
Matrix(String) - Constructor for class edu.ucla.stat.SOCR.util.Matrix
 
max(double[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
max - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
max() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
max(double[]) - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
max(double[]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
MAX_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
MAX_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
max_bin - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
max_numberForLegendPanelOff - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
MAX_TIME - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
MAX_VALUE - Static variable in class edu.ucla.stat.SOCR.util.Numeric
 
max_x - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
max_x - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
max_x - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
maxDiff() - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method computes the Maximum difference for the sample (for graph normalization)
maxDouble(double[]) - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
 
maxDouble(double[]) - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
 
maxDouble(double[]) - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
MAXGAM - Static variable in class edu.ucla.stat.SOCR.util.BesselConstants
 
MAXIMUM - Static variable in class edu.uah.math.distributions.ExtremeValueDistribution
 
MaximumSize() - Method in class edu.uah.math.devices.RouletteWheel
This method returns the preferred size.
maxkp - Static variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
maxkp - Static variable in class edu.ucla.stat.SOCR.util.Mixture
 
MAXLOG - Static variable in class edu.ucla.stat.SOCR.util.BesselConstants
 
MAXMGFXVAL - Static variable in class edu.ucla.stat.SOCR.core.Distribution
 
MAXMGFYVAL - Static variable in class edu.ucla.stat.SOCR.core.Distribution
 
maxRelFreq - Variable in class edu.ucla.stat.SOCR.util.NormalCurve
 
MAXSEARCHLENGTH - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
maxV(Vector<Double>) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
MAXVIEWABLENODES - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
MaxwellDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Maxwell distribution with parameter a.
MaxwellDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
This general constructor creates a new Maxwell distribution.
MaxwellDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
This special constructor creates a new Maxwell distribution with radius 1
maxY - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
mean(double[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.Regression
 
mean(double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
mean - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
MEAN_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
MEAN_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
MEAN_ALTERNATIVE - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
MEAN_DIFF - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
MEAN_DIFF - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
MEAN_DIFF - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
MEAN_NULL - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
MEAN_PLOT_POINTS - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
MEAN_PREDICTED - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
MEAN_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
MEAN_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
MEAN_U - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
MEAN_W - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
MEAN_X - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
The mean of The independent varialbe's data.
MEAN_X - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
the mean of .
MEAN_X - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
The mean of The independent varialbe's data.
MEAN_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
the mean of .
MEAN_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The mean of The independent varialbe's data.
MEAN_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
MEAN_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
MEAN_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
MEAN_Y - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
The mean of The dependent varialbe's data.
MEAN_Y - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
MEAN_Y - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
The mean of The dependent varialbe's data.
MEAN_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
MEAN_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The mean of The dependent varialbe's data.
MEAN_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
MEAN_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
MEAN_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
MeanEstimateExperiment - Class in edu.uah.math.experiments
This class models the interval estimation experiment in the standard normal model.
MeanEstimateExperiment() - Constructor for class edu.uah.math.experiments.MeanEstimateExperiment
 
MeanEstimateExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the interval estimation experiment in the standard normal model.
MeanEstimateExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
This method initializes the experiment, including the toolbars with scrollbars and labels for changing parameters, choices for the sampling distribution, interval type, and confidence level, graphs and tables for the sampling variable, the standard score variable, and the success variable.
MeanEstimateGraph - Class in edu.uah.math.devices
This class defines a special graph used in the mean estimation experiment.
MeanEstimateGraph(RandomVariable) - Constructor for class edu.uah.math.devices.MeanEstimateGraph
This general constructor creates a new mean estimate graph with a specified random variable.
MeanEstimateGraph() - Constructor for class edu.uah.math.devices.MeanEstimateGraph
This default constructor creates a new mean estimate graph with a default (normally distributed) random variable.
MeanEstimateGraph - Class in edu.ucla.stat.SOCR.util
This class defines a special graph used in the mean estimation experiment.
MeanEstimateGraph(RandomVariable) - Constructor for class edu.ucla.stat.SOCR.util.MeanEstimateGraph
This general constructor creates a new mean estimate graph with a specified random variable.
meanFac(double[]) - Method in class edu.ucla.stat.SOCR.util.factor
 
meanIJK() - Method in class edu.ucla.stat.SOCR.util.Anova
 
meanParamField - Variable in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
meanParamField - Variable in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
meanParamField - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
meanParamField - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
meanParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
meanParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
meanParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
meanParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
meanPlotPoints - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
meanSquaredError(double[], int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
MeanTestExperiment - Class in edu.uah.math.experiments
This class models the hypothesis test experiment in the standard normal model.
MeanTestExperiment() - Constructor for class edu.uah.math.experiments.MeanTestExperiment
 
MeanTestExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the hypothesis test experiment in the standard normal model.
MeanTestExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
This method initializes the experiment.
MeanTestGraph - Class in edu.uah.math.devices
This class defines a special graph used in the hypothesis testing experiment for the mean in the standard normal model.
MeanTestGraph(RandomVariable, double) - Constructor for class edu.uah.math.devices.MeanTestGraph
This general constructor creates a new mean test graph with a specified random variable and a specified test mean.
MeanTestGraph() - Constructor for class edu.uah.math.devices.MeanTestGraph
This default constructor creates a new mean test graph with a default (normally distributed) random variable and with test mean 0.
MeanTestGraph - Class in edu.ucla.stat.SOCR.util
This class defines a special graph used in the hypothesis testing experiment for the mean in the standard normal model.
MeanTestGraph(RandomVariable, double) - Constructor for class edu.ucla.stat.SOCR.util.MeanTestGraph
This general constructor creates a new mean test graph with a specified random variable and a specified test mean.
meanValueSlider - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
MEDIAN - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
MEDIAN_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
MEDIAN_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
MedianGraph - Class in edu.uah.math.devices
This is a special graph used in the sign test experiment.
MedianGraph(RandomVariable, double) - Constructor for class edu.uah.math.devices.MedianGraph
This general constructor creates a new median graph with a specified random variable and a specified test median.
MedianGraph() - Constructor for class edu.uah.math.devices.MedianGraph
This default constructor creates a new median graph with a normally distributed random variable and test median 0.
MedianGraph - Class in edu.ucla.stat.SOCR.util
This is a special graph used in the sign test experiment.
MedianGraph(RandomVariable, double) - Constructor for class edu.ucla.stat.SOCR.util.MedianGraph
This general constructor creates a new median graph with a specified random variable and a specified test median.
MGFGraphPanel - Class in edu.ucla.stat.SOCR.core
 
MGFGraphPanel(SOCRDistributionFunctors) - Constructor for class edu.ucla.stat.SOCR.core.MGFGraphPanel
 
MIDPOINTS - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
MIDPOINTS - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
MIDPOINTS - Static variable in class edu.ucla.stat.SOCR.util.Graph
 
min(double[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
min - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
min(double[]) - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
min(double[]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
MIN_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
MIN_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
min_bin - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
MIN_VALUE - Static variable in class edu.ucla.stat.SOCR.util.Numeric
 
min_x - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
min_x - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
min_x - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
minDouble(double[]) - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
 
minDouble(double[]) - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
 
minDouble(double[]) - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
MinimaxDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implmentation of the Minimax distribution with specified left(alpha) and right(Minimax) parameters http://mathworld.wolfram.com/topics/ContinuousDistributions.html .
MinimaxDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
Default constructor: creates a Minimax distribution with left and right parameters equal to 1
MinimaxDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
 
MINIMUM - Static variable in class edu.uah.math.distributions.ExtremeValueDistribution
 
minimum(double[]) - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
The method finds the minimum of a double array
minimum(double[]) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
The method finds the minimum of a double array directly copied from ExponentialDistribution.java.
MINLOG - Static variable in class edu.ucla.stat.SOCR.util.BesselConstants
 
MINMGFXVAL - Static variable in class edu.ucla.stat.SOCR.core.Distribution
 
minV(Vector<Double>) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
MISS_COUNT - Static variable in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
MIXED - Static variable in class edu.uah.math.distributions.Distribution
 
MIXED - Static variable in class edu.ucla.stat.SOCR.core.Distribution
 
MIXED - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
MIXED - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
MIXED_DISTRIBUTION_TYPE - Static variable in class edu.ucla.stat.SOCR.core.Modeler
 
MixedFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Normal Mixture model fitting curve.
MixedFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
MixedFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
mixInit(int, double[], double) - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
mixPanel - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
mixPanel - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
mixPanel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
mixPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
mixPanelContainer - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
Mixture - Class in edu.ucla.stat.SOCR.chart.util
 
Mixture(double, double, Database) - Constructor for class edu.ucla.stat.SOCR.chart.util.Mixture
 
Mixture - Class in edu.ucla.stat.SOCR.util
 
Mixture(int, int, Database) - Constructor for class edu.ucla.stat.SOCR.util.Mixture
 
MixtureDistribution - Class in edu.uah.math.distributions
This class models a distributions which is the mixture of a given set of distributions using a given set of probabilities as the mixing parameters
MixtureDistribution(Distribution[], double[]) - Constructor for class edu.uah.math.distributions.MixtureDistribution
This general constructor creates the mixture of a given array of distribuitons using a given array of probabilities as the mixing parameters.
MixtureDistribution(Distribution, Distribution, double) - Constructor for class edu.uah.math.distributions.MixtureDistribution
This special constructor creates the mixture of two distributions using a specified number and its complement as the mixing probabilities.
MixtureDistribution(Distribution, Distribution) - Constructor for class edu.uah.math.distributions.MixtureDistribution
This special constructor creates the mixture of two distributions with equal mixing probabilities
MixtureDistribution() - Constructor for class edu.uah.math.distributions.MixtureDistribution
This default constructor creates the mixture of two standard normal distributions with equal mixing parameters.
MixtureDistribution - Class in edu.ucla.stat.SOCR.distributions
The Mixture distribution with parameter-vector p=(p1, p2, ..., pn) http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_Activities_2D_PointSegmentation_EM_Mixture is the (linear) mixure of an array of distributions according to the mixing parameters.
MixtureDistribution(Distribution[], double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This general constructor creates the mixture of a given array of distributitons using a given array of probabilities as the mixing parameters.
MixtureDistribution(Distribution, Distribution, double) - Constructor for class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This special constructor creates the mixture of two distributions using a specified number and its complement as the mixing probabilities.
MixtureDistribution(Distribution, Distribution) - Constructor for class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This special constructor creates the mixture of two distributions with equal mixing probabilities
MixtureDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This default constructor creates the mixture of two standard normal distributions with equal mixing parameters.
mixtureDistributionObject - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
MixtureEMExperiment - Class in edu.ucla.stat.SOCR.chart.util
 
MixtureEMExperiment() - Constructor for class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
MixtureEMExperiment(double, double) - Constructor for class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
MixtureEMExperiment(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
MixtureEMExperiment - Class in edu.ucla.stat.SOCR.experiments
 
MixtureEMExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
MMM - Static variable in class edu.uah.math.devices.DataTable
 
MMM - Static variable in class edu.uah.math.devices.Histogram
 
MMM - Static variable in class edu.ucla.stat.SOCR.util.DataGraph
 
MMM - Static variable in class edu.ucla.stat.SOCR.util.Histogram
 
MMM - Static variable in class edu.ucla.stat.SOCR.util.varHistogram
 
model - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
model - Variable in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
MODEL_OUTLINE - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
MODEL_SWITCH - Variable in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
modelAnovaOneWay() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
modelAnovaOneWay() - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
modelAnovaTwoWay() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
modelAnovaTwoWay() - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
modelCount - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
modelCt - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
Modeler - Class in edu.ucla.stat.SOCR.core
 
Modeler() - Constructor for class edu.ucla.stat.SOCR.core.Modeler
 
ModelerColor - Class in edu.ucla.stat.SOCR.modeler
 
ModelerColor(float, float, float) - Constructor for class edu.ucla.stat.SOCR.modeler.ModelerColor
 
ModelerConstant - Class in edu.ucla.stat.SOCR.modeler
 
ModelerConstant() - Constructor for class edu.ucla.stat.SOCR.modeler.ModelerConstant
 
ModelerDimension - Class in edu.ucla.stat.SOCR.modeler
 
ModelerDimension() - Constructor for class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
ModelerGui - Class in edu.ucla.stat.SOCR.core
This class defines a basic modeler object.
ModelerGui() - Constructor for class edu.ucla.stat.SOCR.core.ModelerGui
 
ModelerHistogram - Class in edu.ucla.stat.SOCR.util
This class models an interactive histogram.
ModelerHistogram(double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.ModelerHistogram
This general constructor creates a new interactive histogram corresponding to a specified domain.
ModelerHistogram() - Constructor for class edu.ucla.stat.SOCR.util.ModelerHistogram
 
ModelerPluginLoader - Class in edu.ucla.stat.SOCR.util
 
ModelerPluginLoader(URL, ClassLoader) - Constructor for class edu.ucla.stat.SOCR.util.ModelerPluginLoader
 
modelLowerlimit - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
modelMultiLinearRegression() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
modelMultiLinearRegression() - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
modelObject - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
MODELOFF - Variable in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
MODELON - Variable in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
modelOneT(double[]) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
modelOneT(double[]) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
modelSimpleLinearRegression() - Method in class edu.ucla.stat.SOCR.analyses.data.Data
Linear Models
modelSimpleLinearRegression() - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
Linear Models
modelTwoIndependentT(double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
Parametric Testing
modelTwoIndependentT(double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
Parametric Testing
modelTwoIndependentWilcoxon(double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
Non-Parametric Testing
modelTwoIndependentWilcoxon(double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
Non-Parametric Testing
modelTwoPairedSignedRank(double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
modelTwoPairedSignedRank(double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
modelTwoPairedT(double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
modelTwoPairedT(double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
modelType - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
modelType - Variable in class edu.ucla.stat.SOCR.util.varHistogram
 
modelUpperlimit - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
modelX - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
modelX1 - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
modelX2 - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
modelXData - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
modelY - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
modelY1 - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
modelY2 - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
modelYData - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
modeParamField - Variable in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
modeParams - Variable in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
modn(int) - Method in class edu.ucla.stat.SOCR.games.wavelet.Daubechies
 
Module - Class in edu.ucla.stat.SOCR.chart.util
 
Module(double, double, double) - Constructor for class edu.ucla.stat.SOCR.chart.util.Module
 
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
convert a generic integer s to a fixed length string
monoString(String) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
convert a generic string s to a fixed length one.
monoString(double) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
convert a generic double s to a "nice" fixed length string
monoString(int) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
convert a generic integer s to a fixed length string
MontyHallExperiment - Class in edu.uah.math.experiments
This class models the famous Monty Hall experiment.
MontyHallExperiment() - Constructor for class edu.uah.math.experiments.MontyHallExperiment
 
MontyHallExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the famous Monty Hall experiment.
MontyHallExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.MontyHallExperiment
This method initializes the experiment, including the toolbar with the drop down boxes and scrollbar, the random variable table and graph, the record table, and the doors.
MontyHallGame - Class in edu.uah.math.games
This class models the famous Monty Hall game.
MontyHallGame() - Constructor for class edu.uah.math.games.MontyHallGame
 
MontyHallGame - Class in edu.ucla.stat.SOCR.games
This class models the famous Monty Hall game.
MontyHallGame() - Constructor for class edu.ucla.stat.SOCR.games.MontyHallGame
This method initializes the game, including the toolbar buttons, doors, images
MotionBubbleRenderer - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart Date: Dec 2, 2008 Time: 12:36:52 PM
MotionBubbleRenderer(MotionDataSet) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Creates a new MotionBubbleRenderer instance.
MotionBubbleRenderer(MotionDataSet, int) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Constructs a new MotionBubbleRenderer with the specified type of scaling.
MotionChart - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart User: Khashim Date: Sep 15, 2008 Time: 2:58:23 PM
MotionChart(MotionDataSet) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionChart
Creates a new chart based on the supplied dataset.
MotionChart(String, MotionDataSet) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionChart
Creates a new chart with the given title and dataset.
MotionChart(String, Font, MotionDataSet, boolean) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionChart
Creates a new chart with the given title and dataset.
MotionChartGUI - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart User: Khashim Date: Sep 19, 2008 Time: 11:28:18 AM
MotionChartGUI() - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
 
MotionChartGUI(boolean) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
 
MotionDataSet - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart User: Khashim Date: Dec 1, 2008 Time: 10:43:13 PM
MotionDataSet(MotionTableModel) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionDataSet
Creates a new MotionDataSet instance.
MotionDataSet.DateConverter - Class in edu.ucla.stat.SOCR.motionchart
 
MotionDataSet.DateConverter() - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionDataSet.DateConverter
 
MotionDataSet.DoubleConverter - Class in edu.ucla.stat.SOCR.motionchart
 
MotionDataSet.DoubleConverter() - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionDataSet.DoubleConverter
 
MotionDataSet.DoubleValue<T> - Interface in edu.ucla.stat.SOCR.motionchart
 
MotionDataSet.StringConverter - Class in edu.ucla.stat.SOCR.motionchart
 
MotionDataSet.StringConverter() - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionDataSet.StringConverter
 
MotionItemLabelGenerator - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart User: Khashim Date: Dec 21, 2008 Time: 6:42:35 PM
MotionItemLabelGenerator() - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionItemLabelGenerator
 
MotionKey - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart User: Khashim Date: Dec 12, 2008 Time: 9:38:25 PM
MotionKey(Object) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionKey
 
MotionMappingControl - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart User: Khashim Date: Dec 26, 2008 Time: 6:36:24 PM
MotionMappingControl(MotionTableModel) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
MotionMouseListener - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart Date: Dec 20, 2008 Time: 7:31:25 PM
MotionMouseListener() - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionMouseListener
 
MotionTableModel - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart User: Khashim Date: Dec 2, 2008 Time: 12:37:16 AM
MotionTableModel(TableModel) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionTableModel
Creates MotionTableModel object with specified TableModel as the data source.
MotionTableModel.MotionRowComparator - Class in edu.ucla.stat.SOCR.motionchart
 
MotionTableModel.MotionRowComparator() - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionTableModel.MotionRowComparator
 
MotionToolTipGenerator - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart User: Khashim Date: Dec 20, 2008 Time: 7:19:20 PM
MotionToolTipGenerator() - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionToolTipGenerator
Creates a new tool tip generator using default number formatters for the x, y and z-values.
MotionToolTipGenerator(String, NumberFormat, NumberFormat, NumberFormat, NumberFormat, NumberFormat) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionToolTipGenerator
Constructs a new tool tip generator using the specified number formatters.
MotionToolTipGenerator(String, DateFormat, DateFormat, DateFormat, DateFormat, DateFormat) - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionToolTipGenerator
Constructs a new tool tip generator using the specified date formatters.
MotionTypeParser - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart User: Khashim Date: Dec 16, 2008 Time: 9:58:35 AM
MotionTypeParser() - Constructor for class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
mouse_x - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
mouse_x - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
mouse_y - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
mouse_y - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
mouseClicked(MouseEvent) - Method in class edu.uah.math.devices.Forest
This method handles the mouse click event.The selected tree is set to the currently specified state (ON_FIRE, HEALTHY, or BURNT).
mouseClicked(MouseEvent) - Method in class edu.uah.math.devices.InteractiveHistogram
This method handles the events corresponding to mouse clicks.
mouseClicked(MouseEvent) - Method in class edu.uah.math.devices.UserScatterPlot
This method handles the mouse click event.
mouseClicked(MouseEvent) - Method in class edu.uah.math.devices.Voters
This method changes the state of the voter clicked on to the current edit state.
mouseClicked(MouseEvent) - Method in class edu.uah.math.experiments.Experiment
Mouse events
mouseClicked(MouseEvent) - Method in class edu.uah.math.experiments.FireExperiment
This method handles the mouse click events that are associated with changing the states of trees.
mouseClicked(MouseEvent) - Method in class edu.uah.math.experiments.Game
 
mouseClicked(MouseEvent) - Method in class edu.uah.math.experiments.MarkovChainExperiment
This method sets the initial state when the user clicks on a ball.
mouseClicked(MouseEvent) - Method in class edu.uah.math.experiments.VoterExperiment
This method handles the mouse events that correspond to clicking on a voter.
mouseClicked(MouseEvent) - Method in class edu.uah.math.games.BivariateGame
This method handles the mouse event generated when a user clicks on the scatterplot.
mouseClicked(MouseEvent) - Method in class edu.uah.math.games.ErrorGame
This method handles the mouse events generated when the user clicks on the interactive histogram.
mouseClicked(MouseEvent) - Method in class edu.uah.math.games.Game
 
mouseClicked(MouseEvent) - Method in class edu.uah.math.games.HistogramGame
This method handles the mouse clicks that correspond to the user adding points to the data set.
mouseClicked(MouseEvent) - Method in class edu.uah.math.games.MontyHallGame
This method handles events for the door clicks.
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
Mouse events
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
Mouse events
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
Mouse events
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
handle right button mouse events separates for getting more detail on the protein node
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
handle right button mouse events separates for getting more detail on the protein node
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.experiments.FireExperiment
This method handles the mouse click events that are associated with changing the states of trees.
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.experiments.VoterExperiment
This method handles the mouse events that correspond to clicking on a voter.
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.BivariateGame
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.ErrorGame
This method handles the mouse events generated when the user clicks on the interactive histogram.
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.HistogramGame
This method handles the mouse clicks that correspond to the user adding points to the data set.
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.MontyHallGame
This method handles events for the door clicks
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl.PlayerEventListener
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Forest
This method handles the mouse click event.The selected tree is set to the currently specified state.
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.InteractiveHistogram
This method handles the events corresponding to mouse clicks.
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
This method handles the events corresponding to mouse clicks.
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SortItem
 
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableHeaderMouseListener
Invoked when the mouse has been clicked on a component.
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method handles the mouse click event.
mouseClicked(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Voters
This method changes the state of the voter clicked on to the current edit state.
mouseDragged(MouseEvent) - Method in class edu.uah.math.devices.CellGrid
 
mouseDragged(MouseEvent) - Method in class edu.uah.math.devices.Forest
 
mouseDragged(MouseEvent) - Method in class edu.uah.math.devices.GaltonBoard
 
mouseDragged(MouseEvent) - Method in class edu.uah.math.devices.ScatterPlot
 
mouseDragged(MouseEvent) - Method in class edu.uah.math.devices.Spinner
 
mouseDragged(MouseEvent) - Method in class edu.uah.math.devices.Timeline
 
mouseDragged(MouseEvent) - Method in class edu.uah.math.devices.Voters
 
mouseDragged(MouseEvent) - Method in class edu.uah.math.experiments.Experiment
 
mouseDragged(MouseEvent) - Method in class edu.uah.math.experiments.Game
 
mouseDragged(MouseEvent) - Method in class edu.uah.math.games.Game
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Forest
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
 
mouseDragged(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Voters
 
mouseEntered(MouseEvent) - Method in class edu.uah.math.devices.CellGrid
 
mouseEntered(MouseEvent) - Method in class edu.uah.math.devices.Forest
 
mouseEntered(MouseEvent) - Method in class edu.uah.math.devices.GaltonBoard
 
mouseEntered(MouseEvent) - Method in class edu.uah.math.devices.InteractiveHistogram
 
mouseEntered(MouseEvent) - Method in class edu.uah.math.devices.UserScatterPlot
 
mouseEntered(MouseEvent) - Method in class edu.uah.math.devices.Voters
 
mouseEntered(MouseEvent) - Method in class edu.uah.math.experiments.Experiment
 
mouseEntered(MouseEvent) - Method in class edu.uah.math.experiments.Game
 
mouseEntered(MouseEvent) - Method in class edu.uah.math.games.Game
 
mouseEntered(MouseEvent) - Method in class edu.uah.math.games.HistogramGame
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl.PlayerEventListener
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Forest
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.InteractiveHistogram
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SortItem
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
 
mouseEntered(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Voters
 
mouseExited(MouseEvent) - Method in class edu.uah.math.devices.CellGrid
 
mouseExited(MouseEvent) - Method in class edu.uah.math.devices.Forest
 
mouseExited(MouseEvent) - Method in class edu.uah.math.devices.GaltonBoard
 
mouseExited(MouseEvent) - Method in class edu.uah.math.devices.InteractiveHistogram
 
mouseExited(MouseEvent) - Method in class edu.uah.math.devices.UserScatterPlot
 
mouseExited(MouseEvent) - Method in class edu.uah.math.devices.Voters
 
mouseExited(MouseEvent) - Method in class edu.uah.math.experiments.Experiment
 
mouseExited(MouseEvent) - Method in class edu.uah.math.experiments.Game
 
mouseExited(MouseEvent) - Method in class edu.uah.math.games.Game
 
mouseExited(MouseEvent) - Method in class edu.uah.math.games.HistogramGame
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl.PlayerEventListener
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Forest
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.InteractiveHistogram
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SortItem
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
 
mouseExited(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Voters
 
mouseMoved(MouseEvent) - Method in class edu.uah.math.devices.CellGrid
This method handles the mouse move event.
mouseMoved(MouseEvent) - Method in class edu.uah.math.devices.Forest
This method handles the mouse move event.
mouseMoved(MouseEvent) - Method in class edu.uah.math.devices.GaltonBoard
This method handles the mouse move event.
mouseMoved(MouseEvent) - Method in class edu.uah.math.devices.ScatterPlot
This method handles the mouse move event.
mouseMoved(MouseEvent) - Method in class edu.uah.math.devices.Spinner
This method handles the mouse move event.
mouseMoved(MouseEvent) - Method in class edu.uah.math.devices.Timeline
This method handles the mouse move event.
mouseMoved(MouseEvent) - Method in class edu.uah.math.devices.Voters
This method tracks the voter under the mouse cursor.
mouseMoved(MouseEvent) - Method in class edu.uah.math.experiments.Experiment
Mouse motion events
mouseMoved(MouseEvent) - Method in class edu.uah.math.experiments.Game
 
mouseMoved(MouseEvent) - Method in class edu.uah.math.games.Game
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
Mouse motion events
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
Mouse motion events
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
Mouse motion events
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.experiments.FireExperiment
This method handles the mouse move events, so the the mouse position can be tracked.
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.experiments.VoterExperiment
This method handles the mouse events that correspond moving the mouse over the voters.
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.BivariateGame
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Forest
This method handles the mouse move event.
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method handles the mouse move event.
mouseMoved(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Voters
This method tracks the voter under the mouse cursor.
mousePressed(MouseEvent) - Method in class edu.uah.math.devices.CellGrid
 
mousePressed(MouseEvent) - Method in class edu.uah.math.devices.Forest
 
mousePressed(MouseEvent) - Method in class edu.uah.math.devices.GaltonBoard
 
mousePressed(MouseEvent) - Method in class edu.uah.math.devices.InteractiveHistogram
 
mousePressed(MouseEvent) - Method in class edu.uah.math.devices.UserScatterPlot
 
mousePressed(MouseEvent) - Method in class edu.uah.math.devices.Voters
 
mousePressed(MouseEvent) - Method in class edu.uah.math.experiments.Experiment
 
mousePressed(MouseEvent) - Method in class edu.uah.math.experiments.Game
 
mousePressed(MouseEvent) - Method in class edu.uah.math.games.Game
 
mousePressed(MouseEvent) - Method in class edu.uah.math.games.HistogramGame
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.gui.SOCRChartPanel
override the mouse pressed method Handles a 'mouse pressed' event.
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl.PlayerEventListener
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.EditableHeaderUI.MouseInputHandler
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Forest
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.InteractiveHistogram
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SortItem
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
 
mousePressed(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Voters
 
mouseReleased(MouseEvent) - Method in class edu.uah.math.devices.CellGrid
 
mouseReleased(MouseEvent) - Method in class edu.uah.math.devices.Forest
 
mouseReleased(MouseEvent) - Method in class edu.uah.math.devices.GaltonBoard
 
mouseReleased(MouseEvent) - Method in class edu.uah.math.devices.InteractiveHistogram
 
mouseReleased(MouseEvent) - Method in class edu.uah.math.devices.UserScatterPlot
 
mouseReleased(MouseEvent) - Method in class edu.uah.math.devices.Voters
 
mouseReleased(MouseEvent) - Method in class edu.uah.math.experiments.Experiment
 
mouseReleased(MouseEvent) - Method in class edu.uah.math.experiments.Game
 
mouseReleased(MouseEvent) - Method in class edu.uah.math.games.Game
 
mouseReleased(MouseEvent) - Method in class edu.uah.math.games.HistogramGame
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.chart.gui.SOCRChartPanel
override the mouse released method Handles a 'mouse released' event.
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl.PlayerEventListener
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.EditableHeaderUI.MouseInputHandler
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Forest
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.InteractiveHistogram
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.SortItem
The user clicked in the applet.
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
 
mouseReleased(MouseEvent) - Method in class edu.ucla.stat.SOCR.util.Voters
 
move() - Method in class edu.uah.math.devices.UrnChain
This method computes the next state to be visited, according to the probabilities in the transition matrix.
moveBall(int) - Method in class edu.uah.math.devices.GaltonBoard
This method moves the ball to a specified position on the next row.
moveBall() - Method in class edu.uah.math.devices.GaltonBoard
This method moves the ball randomly to the next row, according to the probability.
moveBall(int) - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method moves the ball to a specified position on the next row: right if i = 1 and left if i = 0
MSD - Static variable in class edu.uah.math.devices.DataTable
 
MSD - Static variable in class edu.uah.math.devices.DistributionGraph
 
MSD - Static variable in class edu.uah.math.devices.Histogram
 
MSD - Static variable in class edu.uah.math.devices.RandomVariableTable
 
MSD - Static variable in class edu.ucla.stat.SOCR.util.DataGraph
 
MSD - Static variable in class edu.ucla.stat.SOCR.util.Histogram
 
MSD - Static variable in class edu.ucla.stat.SOCR.util.RandomVariableGraph
 
MSD - Static variable in class edu.ucla.stat.SOCR.util.varHistogram
 
MSDS - Static variable in class edu.uah.math.devices.RandomVariableGraph
 
MSE_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
MSE_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
MSE_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
MSS_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
MSS_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
MSS_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
MSS_MODEL - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
MSS_MODEL - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
MSS_MODEL - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
mtmodel - Variable in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
mu0 - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
muA - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
MULTI_LINEAR_REGRESSION - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
MULTI_LINEAR_REGRESSION_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
MULTI_LINEAR_REGRESSION_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
MULTI_LINEAR_REGRESSION_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
MULTI_LINEAR_REGRESSION_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
MULTI_LINEAR_REGRESSION_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
MULTI_LINEAR_REGRESSION_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
MULTI_LINEAR_REGRESSION_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
MultiIndependentKruskalWallisExample - Class in edu.ucla.stat.SOCR.analyses.example
 
MultiIndependentKruskalWallisExample() - Constructor for class edu.ucla.stat.SOCR.analyses.example.MultiIndependentKruskalWallisExample
 
MultiLinearRegression - Class in edu.ucla.stat.SOCR.analyses.gui
this class is for Multiple Linear Regression only.
MultiLinearRegression() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
 
MultiLinearRegression - Class in edu.ucla.stat.SOCR.analyses.model
 
MultiLinearRegression() - Constructor for class edu.ucla.stat.SOCR.analyses.model.MultiLinearRegression
 
MultiLinearRegressionBostonExample - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
MultiLinearRegressionBostonExample() - Constructor for class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionBostonExample
Constructor method for simple data generation for regression/correlation tests
MultiLinearRegressionExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
MultiLinearRegressionExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionExamples
Constructor method for simple data generation for regression/correlation tests
MultiLinearRegressionExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.MultiLinearRegressionExamples
Constructor method for sampel data for ANOVA analysis.
MultiLinearRegressionResult - Class in edu.ucla.stat.SOCR.analyses.jri.result
 
MultiLinearRegressionResult(HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
Constructors
MultiLinearRegressionResult(HashMap<String, Object>, HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
MultiLinearRegressionResult - Class in edu.ucla.stat.SOCR.analyses.result
 
MultiLinearRegressionResult(HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
Constructors
MultiLinearRegressionResult(HashMap<String, Object>, HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
MultiNomialDistribution - Class in edu.ucla.stat.SOCR.distributions
The Multinomial distribution with parameter-vector (k,p), where n=number of trials and event-probabilities p=(p1, p2, ..., pn), with sum(p_k)=1 and p_k>=0, 1<=k<=n.
MultiNomialDistribution(int, double[], int[]) - Constructor for class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This general constructor creates a new MultiNomialDistribution with specified parameters:
MultiNomialDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
This default constructor creates a new MultiNomialDistribution(2, {0.5, 0.5})
MULTIPLE_COMPARISON_HEADER - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
MULTIPLE_COMPARISON_INFO - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
MULTIPLE_DEFAULT_VALUE - Static variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
MULTIPLE_MEAN_PLOT_POINTS - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
MULTIPLE_POWER_PLOT_POINTS - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
multipleGroupAssignmentBegun() - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when multiple sources are about to be assigned group ids.
multipleGroupAssignmentEnded(int) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when multiple sources have been assigned group ids.
multipleMeanPlotPoints - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
MultiplePartsPanel - Class in edu.ucla.stat.SOCR.core
This class will be used for game and experiment, basically it has three parts.
MultiplePartsPanel() - Constructor for class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
MultiplePartsPanel.SOCRToolBar - Class in edu.ucla.stat.SOCR.core
 
MultiplePartsPanel.SOCRToolBar() - Constructor for class edu.ucla.stat.SOCR.core.MultiplePartsPanel.SOCRToolBar
 
multiplePowerPlotPoints - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
multipleSourceIdentificationBegun() - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when multiple sources are about to be identified.
multipleSourceIdentificationEnded(int) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when multiple sources have been identified.
multipleTranslationBegun() - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when multiple sources are about to be translated.
multipleTranslationEnded(int) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when multiple sources have been translated.
multiply(double, Matrix) - Static method in class edu.ucla.stat.SOCR.util.Matrix
 
multiply(Matrix, Matrix) - Static method in class edu.ucla.stat.SOCR.util.Matrix
 
MultiRegressionCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
MultiRegressionCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.MultiRegressionCSV
 
Mutex - Class in edu.ucla.stat.SOCR.JRI
This class implements a (not so) simple mutex.
Mutex() - Constructor for class edu.ucla.stat.SOCR.JRI.Mutex
 
MuthDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implmentation of the Muth distribution with specified left(alpha) and right(Muth) parameters http://www.itl.nist.gov/div898/software/dataplot/refman2/auxillar/mutpdf.htm .
MuthDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.MuthDistribution
Default constructor: creates a Muth distribution with left and right parameters equal to 1
MuthDistribution(double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.MuthDistribution
 

N

n - Static variable in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
 
n - Static variable in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
 
n - Variable in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
N - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
N2 - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
N_TRAILS - Static variable in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
name - Variable in class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
name - Variable in class edu.ucla.stat.SOCR.core.Distribution
 
name() - Method in class edu.ucla.stat.SOCR.distributions.PokerDiceDistribution
 
NaN - Static variable in class edu.ucla.stat.SOCR.util.Numeric
 
nCells - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
near(SOCRPoint2D) - Method in class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
NEARVALUE - Static variable in class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
nEdges - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
NeedleFloor - Class in edu.uah.math.devices
This class models the floor in Buffon's needle experiment, and shows the ruled floor and the needle.
NeedleFloor(double) - Constructor for class edu.uah.math.devices.NeedleFloor
This general constructor creates a new floor with a specified needle length.
NeedleFloor() - Constructor for class edu.uah.math.devices.NeedleFloor
This default constructor creates a new NeedleFloor with needle length 0.5.
NeedleFloor - Class in edu.ucla.stat.SOCR.util
The floor in Buffon's needle experiment
NeedleFloor(double) - Constructor for class edu.ucla.stat.SOCR.util.NeedleFloor
Constructs a new floow with a specified needle length
NeedleScatter - Class in edu.uah.math.devices
This class models the scatterplot for Buffon's needle experiment.
NeedleScatter(double) - Constructor for class edu.uah.math.devices.NeedleScatter
This general constructor creates a new needle scatterplot with a specified needle length.
NeedleScatter() - Constructor for class edu.uah.math.devices.NeedleScatter
This default constructor creates a new scatterplot with needle length 1/2.
NeedleScatter - Class in edu.ucla.stat.SOCR.util
Scatterplot for Buffon's needle experiment
NeedleScatter(double) - Constructor for class edu.ucla.stat.SOCR.util.NeedleScatter
General construct: creates a new needle scatterplot with a specified needle length
NeedleScatter() - Constructor for class edu.ucla.stat.SOCR.util.NeedleScatter
Default constructor: creates a new scatterplot with needle length 1/2
NEGATIVE_INFINITY - Static variable in class edu.ucla.stat.SOCR.util.Numeric
 
NegativeBinomialDistribution - Class in edu.uah.math.distributions
This class models the negative binomial distribution with specified successes parameter and probability parameter.
NegativeBinomialDistribution(int, double) - Constructor for class edu.uah.math.distributions.NegativeBinomialDistribution
This general constructor creates a new negative binomial distribution with given parameter values.
NegativeBinomialDistribution() - Constructor for class edu.uah.math.distributions.NegativeBinomialDistribution
This default constructor creates a new negative binomial distribution with successes parameter 1 and probability parameter 0.5.
NegativeBinomialDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the negative binomial distribution with specified successes parameter and probability parameter.
NegativeBinomialDistribution(int, double) - Constructor for class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
General Constructor: creates a new negative binomial distribution with given parameter values.
NegativeBinomialDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Default Constructor: creates a new negative binomial distribution with successes parameter 1 and probability parameter 0.5,
NegativeBinomialExperiment - Class in edu.uah.math.experiments
This class models the negative binomial experiment; the random variable of interest is the number of trials until a specified number of successes.
NegativeBinomialExperiment() - Constructor for class edu.uah.math.experiments.NegativeBinomialExperiment
 
NegativeBinomialExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the negative binomial experiment; the random variable of interest is the number of trials until a specified number of successes.
NegativeBinomialExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.NegativeBinomialExperiment
This method initializes the experiment by setting up the toolbar, random variable graph and table, timeline
NegativeHypergeometricDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the NegativeHypergeometric distribution with parameters B (population size), b (sample size), and w (number of special-type 1 objects).
NegativeHypergeometricDistribution(int, int, int) - Constructor for class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
General constructor: creates a new NegativeHypergeometric distribution with specified values of the parameters: B(population size), w (number of special-type 1 objects) and b (sample size)
NegativeHypergeometricDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Default constructor: creates a new NegativeHypergeometric distribution with parameters B = 100, w = 50, b = 10
NegativeMultiNomialDistribution - Class in edu.ucla.stat.SOCR.distributions
The Negative-Multinomial distribution with parameter-vector (x_o,p), where gamma = x_o>=0, and p=(p_1,…, p_r).
NegativeMultiNomialDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
This default constructor creates a new MultiNomialDistribution(2, {0.5, 0.5})
NegativeMultiNomialDistribution(int, double[], int[]) - Constructor for class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
This general constructor creates a new NegativeMultiNomialDistribution with specified parameters:
NegativeMultiNomialDistribution(int, double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
Creates a NegativeMultinomial Distribution object with parameters
neighbor_level - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
neighbor_level - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
neighbours_level - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
NEITHER - Static variable in class edu.uah.math.devices.StatisticsTable
 
newDeath() - Method in class edu.ucla.stat.SOCR.util.Voters
This method checks to see if a state has died.
nFormulas - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
NILSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
nKernels - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
nMax - Static variable in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
 
nMax - Static variable in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
 
nNodes - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
NoApp - Class in edu.ucla.stat.SOCR.applications.demo
Package: edu.ucla.stat.SOCR.applications.demo Date: Aug 20, 2008 Time: 2:43:45 AM
NoApp() - Constructor for class edu.ucla.stat.SOCR.applications.demo.NoApp
 
NoChart - Class in edu.ucla.stat.SOCR.chart.demo
create a empty chart
NoChart() - Constructor for class edu.ucla.stat.SOCR.chart.demo.NoChart
 
NODE_GROUP - Static variable in class edu.ucla.stat.SOCR.distributome.data.HighLightedType
 
NODE_TYPE - Static variable in class edu.ucla.stat.SOCR.distributome.data.HighLightedType
 
NodeBothColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
NodeChildrenColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
NodeHighlightColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
NodeNormalColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
NodeParentColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
nodes - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
nodesShowFlag - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
NodeTextColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
nodeType - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
nodeTypeColor - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
NodeTypeHighlightColor - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
noFocusBorder - Variable in class edu.ucla.stat.SOCR.util.RowHeaderRenderer
 
NoMGFException - Exception in edu.ucla.stat.SOCR.distributions.exception
 
NoMGFException() - Constructor for exception edu.ucla.stat.SOCR.distributions.exception.NoMGFException
 
NoMGFException(String) - Constructor for exception edu.ucla.stat.SOCR.distributions.exception.NoMGFException
 
NoMGFExistsException - Exception in edu.ucla.stat.SOCR.distributions.exception
 
NoMGFExistsException() - Constructor for exception edu.ucla.stat.SOCR.distributions.exception.NoMGFExistsException
 
NoMGFExistsException(String) - Constructor for exception edu.ucla.stat.SOCR.distributions.exception.NoMGFExistsException
 
NOMINAL - Static variable in class edu.ucla.stat.SOCR.analyses.data.DataType
 
NONE - Static variable in class edu.uah.math.devices.CellGrid
 
NONE - Static variable in class edu.uah.math.devices.DataTable
 
NONE - Static variable in class edu.uah.math.devices.DistributionGraph
 
NONE - Static variable in class edu.uah.math.devices.Histogram
 
NONE - Static variable in class edu.uah.math.devices.RandomVariableTable
 
NONE - Static variable in class edu.ucla.stat.SOCR.distributome.data.HighLightedType
 
NONE - Static variable in class edu.ucla.stat.SOCR.util.DataGraph
 
NONE - Static variable in class edu.ucla.stat.SOCR.util.Histogram
 
NONE - Static variable in class edu.ucla.stat.SOCR.util.RandomVariableGraph
 
NONE - Static variable in class edu.ucla.stat.SOCR.util.varHistogram
 
NonParametric - Interface in edu.ucla.stat.SOCR.analyses.model
 
NonParametricTestResult - Class in edu.ucla.stat.SOCR.analyses.result
 
NonParametricTestResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
END RESIDUALS FROM MODELING RESULTS: MOSTLY FOR PLOTTING
NonParametricTestResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
norm() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
norm_x - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
norm_y - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
NORMAL - Static variable in class edu.uah.math.experiments.MeanEstimateExperiment
 
NORMAL - Static variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
Normal - Static variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
NORMAL - Static variable in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
 
NORMAL - Static variable in class edu.ucla.stat.SOCR.util.RandomGenerator
 
NORMAL_POWER - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
NORMAL_SCORE_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
NORMAL_SCORE_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
NormalCurve - Class in edu.ucla.stat.SOCR.util
This class models an interactive histogram.
NormalCurve(double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.NormalCurve
 
NormalCurve() - Constructor for class edu.ucla.stat.SOCR.util.NormalCurve
 
normalDataset2Table(double, double) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
 
NormalDistribution - Class in edu.uah.math.distributions
This class encapsulates the normal distribution with specified parameters.
NormalDistribution(double, double) - Constructor for class edu.uah.math.distributions.NormalDistribution
This general constructor creates a new normal distribution with specified parameter values.
NormalDistribution() - Constructor for class edu.uah.math.distributions.NormalDistribution
This default constructor creates a new standard normal distribution (with location parameter 0 and scale parameter 1).
NormalDistribution - Class in edu.ucla.stat.SOCR.distributions
This class encapsulates the normal distribution with specified (mean, SD) parameters.
NormalDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.NormalDistribution
This general constructor creates a new normal distribution with specified parameter values
NormalDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.NormalDistribution
 
NormalDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.NormalDistribution
 
NormalDistribution(double, double, boolean) - Constructor for class edu.ucla.stat.SOCR.distributions.NormalDistribution
 
NormalDistribution(double[], boolean) - Constructor for class edu.ucla.stat.SOCR.distributions.NormalDistribution
 
NormalDistribution(float[], boolean) - Constructor for class edu.ucla.stat.SOCR.distributions.NormalDistribution
 
NormalDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.NormalDistribution
This default constructor creates a new standard normal distribution
NormalDistributionDemo - Class in edu.ucla.stat.SOCR.chart.demo
This demo shows a normal distribution graph.
NormalDistributionDemo() - Constructor for class edu.ucla.stat.SOCR.chart.demo.NormalDistributionDemo
 
NormalEstimateExperiment - Class in edu.uah.math.experiments
This class models the point estimation problem associated with the normal distribution.
NormalEstimateExperiment() - Constructor for class edu.uah.math.experiments.NormalEstimateExperiment
 
NormalEstimateExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the point estimation problem associated with the normal distribution.
NormalEstimateExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.NormalEstimateExperiment
This method intializes the experiment, including the toolbar and scrollbars.
NormalFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Normal Fit model fitting curve.
NormalFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
NormalFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
NormalFit_Modeler Constructor.
normalize(String[], double[], int) - Method in class edu.ucla.stat.SOCR.chart.Chart
calculation needed by PowerTransformed Charts
normalize(String) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
Normalizes the given string.
normalized_x - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
normalized_x - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
normalmixture - Static variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
normalMixture - Class in edu.ucla.stat.SOCR.util
 
normalMixture(int, float[], double) - Constructor for class edu.ucla.stat.SOCR.util.normalMixture
 
normalMixture(int, double[], double) - Constructor for class edu.ucla.stat.SOCR.util.normalMixture
 
NormalPower - Class in edu.ucla.stat.SOCR.analyses.gui
 
NormalPower() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
NormalPower - Class in edu.ucla.stat.SOCR.analyses.model
 
NormalPower() - Constructor for class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
NormalPower(double, double, double) - Constructor for class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
NormalPower(int, double, double, double, double, String) - Constructor for class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
NormalPower(double, double, double, double, double, String) - Constructor for class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
NormalPowerResult - Class in edu.ucla.stat.SOCR.analyses.result
 
NormalPowerResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
Constructors
NormalPowerResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
normalQuantiles - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
normalQuantiles - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
normComponent - Class in edu.ucla.stat.SOCR.util
 
normComponent(double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.normComponent
 
NormConst - Static variable in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
 
north - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
NoShow - Static variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
NOT_SORTED - Static variable in interface edu.ucla.stat.SOCR.util.tablemodels.SortOrderConstants
Specifies no sort order
note - Variable in class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
notifyDataChanged() - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
notifyListeners(ChartChangeEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Sends a ChartChangeEvent to all registered listeners.
notifyStructureChanged() - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
nPoints() - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
nPoints() - Method in class edu.ucla.stat.SOCR.util.Database
 
nRefs - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
NULL_EXAMPLE - Static variable in class edu.ucla.stat.SOCR.analyses.example.CIExamples
 
NULL_EXAMPLE - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
NULL_EXAMPLE - Static variable in class edu.ucla.stat.SOCR.analyses.example.FlignerKilleenExamples
 
NULL_EXAMPLE - Static variable in class edu.ucla.stat.SOCR.analyses.example.KolmogorovSmirnoffExamples
 
NULL_EXAMPLE - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentFriedmanExamples
 
NULL_EXAMPLE - Static variable in class edu.ucla.stat.SOCR.analyses.example.TwoIndependentKruskalWalliesExamples
 
NULL_EXAMPLE - Variable in class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
 
NULL_EXAMPLE - Variable in class edu.ucla.stat.SOCR.chart.ChartExampleData
 
NULL_VARIABLE_MESSAGE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
number - Variable in class edu.ucla.stat.SOCR.motionchart.MotionKey
 
NUMBER_CENCORED - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
NUMBER_OF_DUMMY_DIGITS - Static variable in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
numberOfCurves - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
numberOfFormat - Variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
numberOfTrialsText - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
numberOfTrialsText - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
 
numberPoints - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
numberPointsHalf - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
NumberTooBigException - Exception in edu.ucla.stat.SOCR.analyses.exception
 
NumberTooBigException() - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.NumberTooBigException
 
NumberTooBigException(String) - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.NumberTooBigException
 
Numeric - Class in edu.ucla.stat.SOCR.util
 
Numeric(double) - Constructor for class edu.ucla.stat.SOCR.util.Numeric
 
numOptions - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
numStocks - Variable in class edu.ucla.stat.SOCR.applications.Application
 

O

objectArray - Variable in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
objectList - Variable in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
observable - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
ObservableWrapper - Class in edu.ucla.stat.SOCR.util
 
ObservableWrapper() - Constructor for class edu.ucla.stat.SOCR.util.ObservableWrapper
 
OBSERVED_DATA - Static variable in class edu.ucla.stat.SOCR.analyses.model.ChiSquareContingencyTable
 
OBSERVED_DATA - Static variable in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
occupiedMax(int) - Method in class edu.ucla.stat.SOCR.experiments.CouponCollectorExperiment
 
okButton - Variable in class edu.uah.math.devices.ProbabilityDialog
 
okButton - Variable in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
okButton - Variable in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
OKDialog - Class in edu.ucla.stat.SOCR.gui
 
OKDialog(Frame, boolean, String) - Constructor for class edu.ucla.stat.SOCR.gui.OKDialog
Creates new form OKDialog
OKDialog - Class in edu.ucla.stat.SOCR.util
 
OKDialog(Frame, boolean, String) - Constructor for class edu.ucla.stat.SOCR.util.OKDialog
Creates new form OKDialog
ON_FIRE - Static variable in class edu.uah.math.devices.Forest
 
ONE - Static variable in class edu.uah.math.experiments.RouletteExperiment
 
ONE - Static variable in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
 
ONE_MINUS_PROB - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
ONE_T - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
ONE_T_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ONE_T_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ONE_T_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ONE_T_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ONE_T_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ONE_T_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
ONE_T_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
OneT - Class in edu.ucla.stat.SOCR.analyses.gui
 
OneT() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.OneT
 
OneT - Class in edu.ucla.stat.SOCR.analyses.model
 
OneT() - Constructor for class edu.ucla.stat.SOCR.analyses.model.OneT
 
OneTCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
OneTCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.OneTCSV
 
OneTExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
OneTExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.OneTExamples
Constructor method for simple data generation for regression/correlation tests
OneTExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.OneTExamples
Constructor method for sampel data for ANOVA analysis.
oneTRandom(int) - Static method in class edu.ucla.stat.SOCR.analyses.example.RandomExample
 
OneTResult - Class in edu.ucla.stat.SOCR.analyses.result
 
OneTResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.OneTResult
Constructors
OneTResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
onlineDescription - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
onlineDescription - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
onlineDescription - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
onlineHelp - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
onlineHelp - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
onlineHelp - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
open(Image, String) - Method in class edu.uah.math.devices.Door
This method opens the door to display a specified image and caption.
open(int, String) - Method in class edu.uah.math.devices.Door
This method opens the door to display one of the standard images (the car or the goat) and a caption
open(Image, String) - Method in class edu.ucla.stat.SOCR.util.Door
This method opens the door to display a specified image and caption
openUrl(String) - Static method in class edu.ucla.stat.SOCR.util.BrowserControl
Method to Open the Broser with Given URL
openWriter(String) - Method in class edu.ucla.stat.SOCR.util.FileHelper
 
order() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
OrderStatisticDistribution - Class in edu.uah.math.distributions
This class models the distribution of the order statistic of a specified order from a random sample of a specified size from a specified sampling distribution.
OrderStatisticDistribution(Distribution, int, int) - Constructor for class edu.uah.math.distributions.OrderStatisticDistribution
This general constructor creates a new order statistic distribution corresponding to a specified sampling distribution, sample size, and order.
OrderStatisticDistribution() - Constructor for class edu.uah.math.distributions.OrderStatisticDistribution
This default constructor creates a new order statistic distribution with the uniform distribution, sample size n = 2, and order k = 1.
OrderStatisticDistribution - Class in edu.ucla.stat.SOCR.distributions
The distribution of the order statistic of a specified order from a random sample of a specified size from a specified sampling distribution
OrderStatisticDistribution(Distribution, int, int) - Constructor for class edu.ucla.stat.SOCR.distributions.OrderStatisticDistribution
General constructor: creates a new order statistic distribution corresponding to a specified sampling distribution, sample size, and order
OrderStatisticDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.OrderStatisticDistribution
 
OrderStatisticExperiment - Class in edu.uah.math.experiments
This experiment illustrates the distribution of the order statistic corresponding to a specified distribution and a specified order.
OrderStatisticExperiment() - Constructor for class edu.uah.math.experiments.OrderStatisticExperiment
 
OrderStatisticExperiment - Class in edu.ucla.stat.SOCR.experiments
This experiment illustrates the distribution of the order statistic corresponding to a specified distribution and a specified order.
OrderStatisticExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.OrderStatisticExperiment
This method initializes the experiment, including the toolbar with scrollbars, the random variable graphs and tables.
ORDINAL - Static variable in class edu.ucla.stat.SOCR.analyses.data.DataType
 
outputCount - Variable in class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
outputFontFace - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
outputFontFace - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
outputFontFace - Static variable in class edu.ucla.stat.SOCR.chart.Chart
 
outputFontSize - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
outputFontSize - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
outputFontSize - Static variable in class edu.ucla.stat.SOCR.chart.Chart
 
outputName - Variable in class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
outputXml - Static variable in class edu.ucla.stat.SOCR.analyses.xml.JRIRequestDispatcher
 

P

p - Variable in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
p - Variable in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
 
P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
P_VALUE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
P_VALUE_CUTOFF - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
P_VALUE_CUTOFF_1_TAIL - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
P_VALUE_CUTOFF_2_TAIL - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
P_VALUE_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
P_VALUE_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
P_VALUE_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
P_VALUE_ONE_SIDED - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
P_VALUE_ONE_SIDED_POOLED - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
P_VALUE_ONE_SIDED_UNPOOLED - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
P_VALUE_TWO_SIDED - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
P_VALUE_TWO_SIDED_POOLED - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
P_VALUE_TWO_SIDED_UNPOOLED - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
packControlPane() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
packControlPaneExternalCall() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
packControlPaneExternalCall() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
packFunctorPane() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
packFunctorPaneExternalCall() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
padding - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
paint(Graphics) - Method in class edu.ucla.stat.SOCR.analyses.gui.ServletCaller
 
paint(Graphics) - Method in class edu.ucla.stat.SOCR.games.wavelet.basisCanvas
 
paint(Graphics) - Method in class edu.ucla.stat.SOCR.gui.BarChart
 
paint(Graphics) - Method in class edu.ucla.stat.SOCR.gui.GraphBase
 
paint(Graphics) - Method in class edu.ucla.stat.SOCR.gui.PieChart
 
paint(Graphics, Database) - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
paint(Graphics, Database, Color) - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
paint(Graphics) - Method in class edu.ucla.stat.SOCR.util.Database
 
paint(Graphics, Color[]) - Method in class edu.ucla.stat.SOCR.util.Database
 
paint(Graphics) - Method in class edu.ucla.stat.SOCR.util.Mixture
 
paint(Graphics) - Method in class edu.ucla.stat.SOCR.util.SortItem
Paint the array of numbers as a list of horizontal lines of varying lengths.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Ball
This method paints the ball.
paintComponent(Graphics) - Method in class edu.uah.math.devices.BallotGraph
This method draws the graph of the random walk.
paintComponent(Graphics) - Method in class edu.uah.math.devices.BertrandFloor
This method draws the floor.
paintComponent(Graphics) - Method in class edu.uah.math.devices.BetaGraph
This method paints the grpah.
paintComponent(Graphics) - Method in class edu.uah.math.devices.BivariateScatterPlot
This method paints the scatterplot.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Card
This method paints the card by drawing the image.
paintComponent(Graphics) - Method in class edu.uah.math.devices.CellGrid
This method paints the cell grid.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Coin
This method paints the coin.
paintComponent(Graphics) - Method in class edu.uah.math.devices.CoinFloor
This method paints the floor tile and the coin.
paintComponent(Graphics) - Method in class edu.uah.math.devices.CoinScatter
This method paints the scatterplot.
paintComponent(Graphics) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method draws the graph of the random walk.
paintComponent(Graphics) - Method in class edu.uah.math.devices.CriticalGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.DiceDistributionGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Die
This method paints the die.
paintComponent(Graphics) - Method in class edu.uah.math.devices.DistributionGraph
This method paints the graph of the density function, empirical density function, moment bar, and empirical moment bar.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Door
This method paints the door.
paintComponent(Graphics) - Method in class edu.uah.math.devices.ErrorGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.EstimateGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Forest
This method paints the forest.
paintComponent(Graphics) - Method in class edu.uah.math.devices.GaltonBoard
This method draws the Galton board.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Histogram
This method paints the graph of the density function, empirical density function, moment bar, and empirical moment bar.
paintComponent(Graphics) - Method in class edu.uah.math.devices.MeanEstimateGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.MeanTestGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.MedianGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.NeedleFloor
This method paints the floor.
paintComponent(Graphics) - Method in class edu.uah.math.devices.NeedleScatter
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.ProbabilityPlot
This method draws the probability plot graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.QuantileGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.RandomVariableGraph
This method paints the graph of the density function, empirical density function, moment bar, and empirical moment bar.
paintComponent(Graphics) - Method in class edu.uah.math.devices.RandomWalkGraph
This method paints the random walk graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.RedBlackGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.RouletteWheel
This method paints the roulette wheel by drawing the image and drawing the ball in the appropriate slot.
paintComponent(Graphics) - Method in class edu.uah.math.devices.ScatterPlot
This method paints the scatterplots, including the x and y axes and the boundary box.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Spinner
This method paints the spinner based on the number of divisions and paints the pointer based on the random angle computed in the spin method.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Stick
This method paints the stick.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Timeline
This method paints the timeline as an axis, with the data points as dots in a specified color.
paintComponent(Graphics) - Method in class edu.uah.math.devices.TriangleScatter
This method paints the scatterplot by drawing the event curves and then calling the corresponding method in the superclass.
paintComponent(Graphics) - Method in class edu.uah.math.devices.UserScatterPlot
This method paints the scatterplot.
paintComponent(Graphics) - Method in class edu.uah.math.devices.VarianceEstimateGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.VarianceTestGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.uah.math.devices.Voters
This method paints the voter canvas.
paintComponent(Graphics) - Method in class edu.ucla.loni.LOVE.colormap.ColorBar
 
paintComponent(Graphics) - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Orientation of the triangle
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
paint method for ConfidenceCanvas
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralLower
paint method for ConfidenceCanvas
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralUpper
paint method for ConfidenceCanvas
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.core.DistributionGraphPanel
Method to graph the PDF/CDF for a particular function to the screen.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.core.MGFGraphPanel
Method to graph the MGF(Moment Generating Function) for a particular function to the screen.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.core.PGFGraphPanel
Method to graph the MGF(Moment Generating Function) for a particular function to the screen.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.distributome.gui.LoadAndShowFormula
Drawing an image can allow for more flexibility in processing/editing.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
paint method for ConfidenceCanvas
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralLower
paint method for ConfidenceCanvas
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralUpper
paint method for ConfidenceCanvas
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasSimple
paint method for ConfidenceCanvas
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.gui.AnimatedSamplePane
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Ball
This method paints the ball.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.BallotGraph
This method draws the graph of the random walk
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method draws the floor
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.BetaGraph
This method paints the grpah
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.BivariateScatterPlot
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Card
This method paints the card
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.CellGrid
This method paints the cell grid
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Coin
This method paints the coin
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method paints the floor tile and the coin
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.CoinScatter
This method paints the scatterplot
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.CriticalGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.DataGraph
This method paints the graph of the getDensity function, empirical getDensity function, moment bar, and empirical moment bar
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.DiceDistributionGraph
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Die
This method paints the die
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Door
This method paints the door
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.ErrorGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.EstimateGraph
This method paints the graph
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Forest
This method paints the forest.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method draws the Galton board
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Histogram
This method paints the graph of the getDensity function, empirical getDensity function, moment bar, and empirical moment bar
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.MeanEstimateGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.MeanTestGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.MedianGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
Paint the floor
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.NeedleScatter
Paint the graph
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.NormalCurve
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.ProbabilityPlot
This method draws the probability plot graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.ProbabilityPlotGraph
This method draws the probability plot graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.QuantileGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.RandomVariableGraph
This method paints the graph of the getDensity function, empirical getDensity function, moment bar, and empirical moment bar
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method paints the random walk graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.RedBlackGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.RouletteWheel
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method paint the scatterplots, including the x and y axes and the boundary box.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Spinner
This method paints the spinner based on the number of divisions and the pointer based on the random angle computed in the spin method.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Timeline
This method paints the timeline
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Triangle
 
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.TriangleScatter
This method paints the scatterplot by drawing the event curves and then calling the corresponding method in the superclass.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method paints the scatterplot
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.varHistogram
This method paints the graph of the getDensity function, empirical getDensity function, moment bar, and empirical moment bar
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.VarianceEstimateGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.VarianceTestGraph
This method paints the graph.
paintComponent(Graphics) - Method in class edu.ucla.stat.SOCR.util.Voters
This method paints the voter canvas.
paintMappingLists(int[]) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
paintTable(int[]) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
paintTable(int[]) - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
paintTable(int[]) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
paintTable(int[]) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
PANEL_ABOUT_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_ABOUT_FOREGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_CHOICE_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_CHOICE_FOREGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_CHOICE_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_CHOICE_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_CONTROL_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_CONTROL_FOREGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_CONTROL_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_CONTROL_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_DATA_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_DATA_FOREGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_DIVISION_PROPORTION - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_GRAPH_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_GRAPH_FOREGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_GRAPH_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_GRAPH_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_INFO_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_INFO_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_PRESENT_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_PRESENT_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_PRESENT_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_RESULT_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_RESULT_FOREGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_RESULT_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_RESULT_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_SAMPLE_BACKGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_SAMPLE_FOREGROUND - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerColor
 
PANEL_SAMPLE_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANEL_SAMPLE_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
PANELFILE - Static variable in class edu.ucla.stat.SOCR.core.DistributionGraphPanel
 
PANELFILE - Static variable in class edu.ucla.stat.SOCR.core.MGFGraphPanel
 
PANELFILE - Static variable in class edu.ucla.stat.SOCR.core.PGFGraphPanel
 
panelInfo - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
panLeft() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
panLeft() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
panRight() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
panRight() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
overwrites the method in distribution for estimating parameters
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
overwrites the method in distribution for estimating parameters
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
overwrites the method in Distribution for estimating parameters
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Overwrites the method in distribution for estimating parameters
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Overwrites the method in distribution for estimating parameters By assuming that the shape parameter is known, the location and scale parameters could be easily obtained by using the maximum likelihood estimation method.
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This method estimates the parameters of this distribution.
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Overwrites the method in distribution for estimating parameters REF: MOM estimates according to: http://en.wikipedia.org/wiki/Fisher-Tippett_distribution
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
Estimate the 3 GEV Distribution parameters
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.GeometricDistribution
Overwrites the method in distribution for estimating parameters REF: MOM estimates according to: http://en.wikipedia.org/wiki/Geometric_distribution
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
This method computed the MOM estimates of the parameters from a data series.
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
overwrites the method in distribution for estimating parameters
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Parameter estimation function from raw data For some reason this always OVERESTIMATES the SHIFT parameter.
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
overwrites the method in distribution for estimating parameters By assuming that the shape parameter is known, the location and scale parameters could be easily obtained by using the maximum likelihood estimation method.
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
 
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method returns the Nu and Sigma parameter estimates from a sample dataset.
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
HOW SHOULD THESE PARAMETERS be estimated?????
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method estimates the parameters of this distribution.
paramEstimate(double[]) - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
 
Parameter - Class in edu.uah.math.devices
This class consists of a slider and a label, and is intended for adjusting the value of a real parameter.
Parameter(double, double, double, double, String, String, int) - Constructor for class edu.uah.math.devices.Parameter
This general constructor creates a new parameter object for adjusting a parameter.
Parameter(double, double, double, double, String, String) - Constructor for class edu.uah.math.devices.Parameter
This special constructor creates a new parameter object for adjusting a parameter, with default size 175.
Parameter() - Constructor for class edu.uah.math.devices.Parameter
This default constructor creates a new parameter object with min value 0, max value 1, step size 1/10, value 1/2, name "Probability", and symbol "p".
ParameterOutOfBoundsException - Exception in edu.ucla.stat.SOCR.distributions.exception
 
ParameterOutOfBoundsException() - Constructor for exception edu.ucla.stat.SOCR.distributions.exception.ParameterOutOfBoundsException
 
ParameterOutOfBoundsException(String) - Constructor for exception edu.ucla.stat.SOCR.distributions.exception.ParameterOutOfBoundsException
 
parameters - Variable in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
ParameterScrollbar - Class in edu.ucla.stat.SOCR.util
A basic scrollbar for adjusting the value of a real parameter
ParameterScrollbar(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.ParameterScrollbar
General constructor: creates a new scrollbar for adjusting a parameter.
ParameterScrollbar() - Constructor for class edu.ucla.stat.SOCR.util.ParameterScrollbar
Default constructor: creates a new parameter scollbar with min value 0, max value 1, step size 1/10, and value 1/2
Parametric - Interface in edu.ucla.stat.SOCR.analyses.model
 
ParametricTestResult - Class in edu.ucla.stat.SOCR.analyses.result
 
ParametricTestResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
END RESIDUALS FROM MODELING RESULTS: MOSTLY FOR PLOTTING
ParametricTestResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
 
paramField - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
ParamField - Variable in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
paramField - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
paramField - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
paramField - Variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
paramLabel - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
ParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
paramLabel - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
paramLabel - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
paramLabel - Variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
parentApplet - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
ParetoDistr - Variable in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
ParetoDistribution - Class in edu.uah.math.distributions
This class models the Pareto distribution with a specified parameter.
ParetoDistribution(double) - Constructor for class edu.uah.math.distributions.ParetoDistribution
This general constructor creates a new Pareto distribuiton with a specified parameter.
ParetoDistribution() - Constructor for class edu.uah.math.distributions.ParetoDistribution
The default constructor creates a new Pareto distribution with parameter 1.
ParetoDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Pareto distribution with a specified parameters (alpha=power; theta=LeftStart).
ParetoDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.ParetoDistribution
This general constructor creates a new Pareto distribuiton with specified parameters, a and theta
ParetoDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.ParetoDistribution
 
ParetoDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.ParetoDistribution
The default constructor creates a new Pareto distribution with parameter 1
ParetoEstimateExperiment - Class in edu.uah.math.experiments
This class models the point estimation problem of the Pareto distribution.
ParetoEstimateExperiment() - Constructor for class edu.uah.math.experiments.ParetoEstimateExperiment
 
ParetoFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
ParetoFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
ParetoFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
parseDay(String) - Static method in class edu.ucla.stat.SOCR.chart.data.DateParser
parse dd-MMMMMMMMM-yyyy to Day
parseInt(String[]) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
parseIntercept() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
parseIntercept() - Method in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
parseMinute(String) - Static method in class edu.ucla.stat.SOCR.chart.data.DateParser
parse EEE MMM dd kk:mm:ss zzz yyyy to Minute
parseMonth(String) - Static method in class edu.ucla.stat.SOCR.chart.data.DateParser
parse MMMMMMMMM yyyy to Month
parseNumber(String[]) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
parsePlotData() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
parsePlotData() - Method in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
parsePredictors() - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
parsePredictors() - Method in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
parseRange(String[], int) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo6
 
parseType(TableModel, int, int) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
parseType(MotionTableModel, int, int) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
parseType(Object, TableModel, int) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
parseType(Object, MotionTableModel, int) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
parseType(Object, Class) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
parseType(Object, Class, String) - Static method in class edu.ucla.stat.SOCR.motionchart.MotionTypeParser
 
PASS - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
PASS - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
PASTE - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
PASTE - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
PASTE - Static variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
PASTE - Static variable in class edu.ucla.stat.SOCR.core.SOCRJRIAnalyses
 
pasteToModel(String, int, int) - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
pasteToTable(String, int, int) - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
pCanvas - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
PDF - Static variable in class edu.uah.math.devices.DistributionGraph
 
PDF - Static variable in class edu.ucla.stat.SOCR.util.QuantileGraph
 
PDFS - Static variable in class edu.uah.math.devices.RandomVariableGraph
 
PEARSON_CHI_SQUARE - Static variable in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
PEARSON_CHI_SQUARE - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
PearsonChiSquareResult - Class in edu.ucla.stat.SOCR.analyses.result
 
PearsonChiSquareResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
Constructors
PearsonChiSquareResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
performAction() - Method in class edu.ucla.stat.SOCR.core.Game
 
performTrials() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
 
performTrials() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method performs the Bernoulli trials and adds the random points to the timeline.
performTrials() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method performs the Bernoulli trials and adds the random points to the timeline.
perm(double, int) - Static method in class edu.uah.math.distributions.Functions
This method computes the number of permuatations of a specified number of objects chosen from a population of a specified number of objects.
perm(double, int) - Static method in class edu.ucla.stat.SOCR.core.Distribution
This method computes the number of permuatations of k objects chosen from a population of n objects.
perm(double, int) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method computes the number of permuatations of a specified number of objects chosen from a population of a specified number of objects.
permute(int, int, char) - Method in class edu.ucla.stat.SOCR.util.Matrix
 
PGFGraphPanel - Class in edu.ucla.stat.SOCR.core
 
PGFGraphPanel(SOCRDistributionFunctors) - Constructor for class edu.ucla.stat.SOCR.core.PGFGraphPanel
 
pickedEdgeIndex - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
pickEdge(Object) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
pickedNodeIndex - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
pickNode(String) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
PIE_CHART - Static variable in class edu.ucla.stat.SOCR.chart.ChartType
 
PieChart - Class in edu.ucla.stat.SOCR.gui
 
PieChart(String) - Constructor for class edu.ucla.stat.SOCR.gui.PieChart
 
PieChart3DDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a pie chart using data from a DefaultPieDataset.
PieChart3DDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo1
 
PieChart3DDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A rotating 3D pie chart.
PieChart3DDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo2
 
PieChart3DDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
A pie chart with a custom label generator.
PieChart3DDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PieChart3DDemo3
 
PieChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a pie chart using data from a DefaultPieDataset.
PieChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PieChartDemo1
 
PieChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a pie chart using data from a DefaultPieDataset.
PieChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PieChartDemo2
 
PieChartDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
A pie chart with no data, to demonstrate the use of the setNoDataMessage() method.
PieChartDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PieChartDemo3
 
PieChartDemo4 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a pie chart using data from a DefaultPieDataset.
PieChartDemo4() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PieChartDemo4
 
PINK - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Pink colormap
PipeDialog - Class in edu.ucla.stat.SOCR.gui
A subclass of JDialog displaying in the middle of the main frame
PipeDialog(Frame, String, boolean) - Constructor for class edu.ucla.stat.SOCR.gui.PipeDialog
Constructs a dialog initialized with an owner, a title and its modality.
PipeDialog(Dialog, String, boolean) - Constructor for class edu.ucla.stat.SOCR.gui.PipeDialog
 
play() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method plays one trial and adusts the current fortune.
play(String) - Static method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
play() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
play generates sample data

param nTrials is the number of tests to do

play(int) - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentSimple
play generates sample dat
play(int) - Method in class edu.ucla.stat.SOCR.util.PlayApplet
 
PlayApplet - Class in edu.ucla.stat.SOCR.util
 
PlayApplet() - Constructor for class edu.ucla.stat.SOCR.util.PlayApplet
 
playButton - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
PlayButton - Class in edu.ucla.stat.SOCR.util
 
PlayButton(PlayApplet, String) - Constructor for class edu.ucla.stat.SOCR.util.PlayButton
 
PlayerControl - Class in edu.ucla.stat.SOCR.motionchart
Package: edu.ucla.stat.SOCR.motionchart User: Khashim Date: Sep 26, 2008 Time: 11:36:54 PM
PlayerControl() - Constructor for class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
PlayerControl(int) - Constructor for class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
PlayerControl.PlayerEventListener - Class in edu.ucla.stat.SOCR.motionchart
 
PlayerControl.PlayerEventListener() - Constructor for class edu.ucla.stat.SOCR.motionchart.PlayerControl.PlayerEventListener
 
playnote(int) - Method in class edu.uah.math.experiments.Experiment
This method plays one of the standard "telephone" notes 0.au through 9.au.
playnote(boolean) - Method in class edu.uah.math.experiments.Experiment
This method plays note 1 if the boolean argument is true and note 0 otherwise.
playnote(int) - Method in class edu.uah.math.experiments.Game
This method plays one of the standard "telephone" notes 0.au through 9.au.
playnote(int) - Method in class edu.uah.math.games.Game
This method plays one of the standard "telephone" notes 0.au through 9.au.
pLoader - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
PLOT_DESCRIPTION - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
plotChanged(PlotChangeEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Receives notification of a plot change event.
plotData - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
plotData - Variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
plotHeight - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
plotHeight - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
plotStats(Graphics) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
plotWidth - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
plotWidth - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
Pluginable - Interface in edu.ucla.stat.SOCR.core
 
PluginLoader - Class in edu.ucla.loni.LOVE
This class will look at .class files under plugins folder and retrieve these classes for use as plugins.
PluginLoader() - Constructor for class edu.ucla.loni.LOVE.PluginLoader
 
PluginLoader - Class in edu.ucla.stat.SOCR.util
 
PluginLoader(URL, ClassLoader) - Constructor for class edu.ucla.stat.SOCR.util.PluginLoader
 
PointExperiment - Class in edu.uah.math.experiments
This class models the famous problem of points experiment.
PointExperiment() - Constructor for class edu.uah.math.experiments.PointExperiment
 
PointExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the famous problem of points experiment.
PointExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.PointExperiment
This method initializes the experiment, including the toolbar with scrollbars and labels, the random variable table and graph, the record table and the coin panel
PointMassDistribution - Class in edu.ucla.stat.SOCR.distributions
Point mass at x0.
PointMassDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
PointMassDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
pointSize - Variable in class edu.ucla.stat.SOCR.util.Graph
 
POISSON - Static variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
POISSON - Static variable in class edu.ucla.stat.SOCR.util.RandomGenerator
 
Poisson2DExperiment - Class in edu.uah.math.experiments
This class models the 2 dimensional Poisson process.
Poisson2DExperiment() - Constructor for class edu.uah.math.experiments.Poisson2DExperiment
 
Poisson2DExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the 2 dimensional Poisson process
Poisson2DExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.Poisson2DExperiment
This method initializes the experiment, including the toolbar with scrollbars and labels, the scatterplot, and the random variable graph and table.
PoissonDistribution - Class in edu.uah.math.distributions
The class models the Poisson distribution with a specified rate parameter.
PoissonDistribution(double) - Constructor for class edu.uah.math.distributions.PoissonDistribution
This default constructor creates a new Poisson distribution with a given parameter value.
PoissonDistribution() - Constructor for class edu.uah.math.distributions.PoissonDistribution
This default constructor creates a new Poisson distribtiton with parameter 1.
PoissonDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implementation of the Poisson distribution with specified Shift and Mean parameters http://en.wikipedia.org/wiki/Poisson_distribution.
PoissonDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Default constructor: creates a Poisson distribution with shift and lambda parameters equal to 0 & 1
PoissonDistribution(int, double) - Constructor for class edu.ucla.stat.SOCR.distributions.PoissonDistribution
 
PoissonDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.PoissonDistribution
 
PoissonDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.PoissonDistribution
 
PoissonDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.PoissonDistribution
 
PoissonExperiment - Class in edu.uah.math.experiments
This class models the number of arrivals in an interval of a specified size for the Poisson process with a specified rate.
PoissonExperiment() - Constructor for class edu.uah.math.experiments.PoissonExperiment
 
PoissonExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the number of arrivals in an interval of a specified size for the Poisson process with a specified rate.
PoissonExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.PoissonExperiment
This method initializes the experiment, including the timeline, the random variable graph and table, the record table, and the toolbar containing the scrollbars and label
PoissonFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Poisson model fitting curve.
PoissonFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
PoissonFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
PoissonSplitExperiment - Class in edu.uah.math.experiments
This class models the two-type Poisson experiment.
PoissonSplitExperiment() - Constructor for class edu.uah.math.experiments.PoissonSplitExperiment
 
PoissonSplitExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the two-type Poisson experiment.
PoissonSplitExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.PoissonSplitExperiment
This method initializes the experiment, including the toolbar with the scrollbars and labels, the random variable graphs and tables, the timeline and the record table
PokerDiceDistribution - Class in edu.ucla.stat.SOCR.distributions
 
PokerDiceDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.PokerDiceDistribution
 
PokerDiceExperiment - Class in edu.uah.math.experiments
The poker dice exeperiment consists of rolling 5 dice.
PokerDiceExperiment() - Constructor for class edu.uah.math.experiments.PokerDiceExperiment
 
PokerDiceExperiment - Class in edu.ucla.stat.SOCR.experiments
The poker dice exeperiment consists of rolling 5 dice.
PokerDiceExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.PokerDiceExperiment
Initialize the experiment: graphs, tables, dice
PokerExperiment - Class in edu.uah.math.experiments
This class models the experiment of dealing a standard 5-card poker hand.
PokerExperiment() - Constructor for class edu.uah.math.experiments.PokerExperiment
 
PokerExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the experiment of dealing a standard 5-card poker hand.
PokerExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.PokerExperiment
This method initializes the experiment, including the cards, random variable graph and table, and the record table
PolarChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a polar chart.
PolarChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PolarChartDemo1
 
POOLED_SAMPLE_SD - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
POOLED_SAMPLE_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
popInfo(String, URL, String) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
popInfo(String, URL, String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
popInfo(String, URL, String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
popInfo(String, URL, String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
populationTitleButton - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
popVariance - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
PortfolioApplication - Class in edu.ucla.stat.SOCR.applications.demo
The triangle experiment is to break a stick at random and see if the pieces form a triangle.
PortfolioApplication() - Constructor for class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
This method initializes the experiment, including the toolbar, triangle, scatterplot, random variable graph and table
PortfolioApplication2 - Class in edu.ucla.stat.SOCR.applications.demo
The triangle experiment is to break a stick at random and see if the pieces form a triangle.
PortfolioApplication2() - Constructor for class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
This method initializes the experiment, including the toolbar, triangle, scatterplot, random variable graph and table
POSITIVE_INFINITY - Static variable in class edu.ucla.stat.SOCR.util.Numeric
 
power - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
POWER - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
power - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
power - Variable in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
Power2Table(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
for PowerTrnsformedchart, use data from 2 array to fill a JTable
POWER_PLOT_POINTS - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
PowerFunctDistr - Variable in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
PowerFunctionDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implementation of the PowerFunction distribution with specified Location, Scale and Shape parameters http://www.mathwave.com/articles/power_function_distribution.html.
PowerFunctionDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Default constructor: creates a Power-Function distribution with scale and shape parameters equal to 1
PowerFunctionDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
 
PowerFunctionDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
 
PowerFunctionDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
 
PowerFunctionFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
PowerFunctionFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
PowerFunctionFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
powerPlotPoints - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
PowerTransformationFamilyChart - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
PowerTransformationFamilyChart() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
PowerTransformHistogramChart - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart using an XYPlot.
PowerTransformHistogramChart() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
PowerTransformQQNormalPlotChart - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
PowerTransformQQNormalPlotChart() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
PowerTransformXYScatterChart - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
PowerTransformXYScatterChart() - Constructor for class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
PRECISION_TOLERANCE - Static variable in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
PREDICTED - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
The predicted value of The model.
PREDICTED - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
PREDICTED - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
the predived values (as a double[]) of a model.
PREDICTED - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
The predicted value of The model.
PREDICTED - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
PREDICTED - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
PREDICTED - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
the predived values (as a double[]) of a model.
PREDICTED - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The predicted value of The model.
PREDICTED_LOWER - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The predicted value of The model.
PREDICTED_UPPER - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The predicted value of The model.
predictor - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
predictor - Variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
predictorList - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
predictorList - Variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
Preference - Class in edu.ucla.loni.LOVE
Provides central control of various environment related settings or user preferences.
Preference() - Constructor for class edu.ucla.loni.LOVE.Preference
 
PrepAdd(double) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
prepAnimate(SamplingExperimentHistogram, int[], int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
prepareEditor(TableCellEditor, int) - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
prepareRenderer(TableCellRenderer, int, int) - Method in class edu.ucla.stat.SOCR.chart.gui.CustomJTable
 
PRESENT_PANEL_DEFAULT_HEIGHT - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
PRESENT_PANEL_DEFAULT_WIDTH - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
pressedButton - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
print() - Method in class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
print() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
print() - Method in class edu.ucla.stat.SOCR.distributome.data.Formula
 
print() - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
print() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
print(Rengine, NodeList) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
print() - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
print(NodeList) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
print(Matrix) - Static method in class edu.ucla.stat.SOCR.util.Matrix
 
print(double[], String) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
print(double[][], String) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
print2DArray(double[][]) - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
printArray(double[]) - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
printData() - Method in class edu.ucla.stat.SOCR.util.Frequency
 
printEl(Rengine, Element) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
printEl(Element) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
printError - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
printList() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
printList() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
printSortedTimeSet() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
printStat(double, boolean, float, float, int, int, int, int, String, Graphics, FontMetrics) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
PROB - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
ProbabilityDialog - Class in edu.uah.math.devices
This class gives is a probability dialog box that allows the user to specify a probability distribution on a finite set of values.
ProbabilityDialog(Frame, String, double[], String[]) - Constructor for class edu.uah.math.devices.ProbabilityDialog
This general constructor creates a new modal probability dialog with a specified frame owner, a specified title, and specified probabilities and values.
ProbabilityDialog(Frame, String, double[]) - Constructor for class edu.uah.math.devices.ProbabilityDialog
This special constructor creates a new probability dialog with a specified frame owner, a specified title, and specified probabilities.
ProbabilityDialog - Class in edu.ucla.stat.SOCR.util
This class gives is a probability dialog box that allows the user to specify a probability distribution on a finite set of values.
ProbabilityDialog(Frame, String, int) - Constructor for class edu.ucla.stat.SOCR.util.ProbabilityDialog
This method creates a new About Dialog with a specified frame owner and a specified message.
ProbabilityList - Class in edu.ucla.stat.SOCR.analyses.data
 
ProbabilityList(double[]) - Constructor for class edu.ucla.stat.SOCR.analyses.data.ProbabilityList
 
probabilityParamField - Variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
probabilityParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
ProbabilityPlot - Class in edu.uah.math.devices
This class models the probability plot in the probability plot experiment.
ProbabilityPlot(double, double, double, double) - Constructor for class edu.uah.math.devices.ProbabilityPlot
This general constructor creates a new probability plot graph with specified upper and lower bounds.
ProbabilityPlot() - Constructor for class edu.uah.math.devices.ProbabilityPlot
This default constructor creates a new probability plot with common lower bound 0 and common upper bound 1.
ProbabilityPlot - Class in edu.ucla.stat.SOCR.util
This class models the probability plot graph in the probability plot experiment.
ProbabilityPlot(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.ProbabilityPlot
This general constructor creates a new probability plot graph with specified upper and lower bounds.
ProbabilityPlotExperiment - Class in edu.uah.math.experiments
This class models the probability plot experiment.
ProbabilityPlotExperiment() - Constructor for class edu.uah.math.experiments.ProbabilityPlotExperiment
 
ProbabilityPlotExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the probability plot experiment.
ProbabilityPlotExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.ProbabilityPlotExperiment
This method initializes the experiment.
ProbabilityPlotGraph - Class in edu.ucla.stat.SOCR.util
This class models the probability plot graph in the probability plot experiment.
ProbabilityPlotGraph(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.ProbabilityPlotGraph
This general constructor creates a new probability plot graph with specified upper and lower bounds.
probs - Variable in class edu.ucla.stat.SOCR.chart.util.Module
 
probValues - Variable in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
prod(double[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
prod(double[]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
product(BigInteger[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
product(double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
progressBar - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
progressBar - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
PROMSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.loni.LOVE.colormap.ActiveBar
Implementation of PropertyChangeListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.loni.LOVE.colormap.ColorMapControlPanel
Fired when colormap is changed.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
Implementation of PropertyChageListener.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
Creates a panel for the demo (used by SuperDemo.java).
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_Time
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
Creates a panel for the demo (used by SuperDemo.java).
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
Creates a panel for the demo (used by SuperDemo.java).
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
This method gets called when a bound property is changed.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTable
This method gets called when a bound property is changed.
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.util.JScrollPaneAdjuster
 
propertyChange(PropertyChangeEvent) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
This method gets called when a bound property is changed.
proportion - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
proportion - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
ProportionEstimateExperiment - Class in edu.uah.math.experiments
This class models the experiment of estimating the probability of success in the Bernoulli trials model.
ProportionEstimateExperiment() - Constructor for class edu.uah.math.experiments.ProportionEstimateExperiment
 
ProportionEstimateExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the experiment of estimating the probability of success in the Bernoulli trials model.
ProportionEstimateExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.ProportionEstimateExperiment
This method initializes the experiment.
ProportionTestExperiment - Class in edu.uah.math.experiments
This class models the hypothesis testing experiment for the probability of success in the Bernoulli trials model.
ProportionTestExperiment() - Constructor for class edu.uah.math.experiments.ProportionTestExperiment
 
ProportionTestExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the hypothesis testing experiment for the probability of success in the Bernoulli trials model.
ProportionTestExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
This method initializes the experiment.
pulloutFlag - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
pulloutIndex - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
pulloutLabel - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
pulloutLength - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
pulloutList - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
pulloutListCursor - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
pulloutMax - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
push(double, double) - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
push(int, int) - Method in class edu.ucla.stat.SOCR.util.Database
 
push(int, int, Color) - Method in class edu.ucla.stat.SOCR.util.Database
 
putNextOutputDataBuffer(float, float) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
This method WRITES OUT bufferSize chunks of t-stats and p-values for all output volumes
putNextOutputDataBuffer() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
This method WRITES OUT bufferSize chunks of background (trivial) values for all output volumes
putNextOutputDataBuffer(float, float) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
This method WRITES OUT bufferSize chunks of t-stats and p-values for all output volumes
putNextOutputDataBuffer() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
This method WRITES OUT bufferSize chunks of background (trivial) values for all output volumes
putNextOutputDataBuffer(float, float) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
This method WRITES OUT bufferSize chunks of t-stats and p-values for all output volumes
putNextOutputDataBuffer() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
This method WRITES OUT bufferSize chunks of background (trivial) values for all output volumes
putNextOutputDataBuffer(float, float) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
This method WRITES OUT bufferSize chunks of t-stats and p-values for all output volumes
putNextOutputDataBuffer() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
This method WRITES OUT bufferSize chunks of background (trivial) values for all output volumes
putNextOutputDataBuffer(double[], double[], double[], double[], int, boolean, boolean) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
This method WRITES OUT bufferSize chunks of all output volumes
pv - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 

Q

Q() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
QQData2DataDemo - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
QQData2DataDemo() - Constructor for class edu.ucla.stat.SOCR.chart.demo.QQData2DataDemo
 
QQNormalPlotDemo - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
QQNormalPlotDemo() - Constructor for class edu.ucla.stat.SOCR.chart.demo.QQNormalPlotDemo
 
qr() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
QSortAlgorithm - Class in edu.ucla.stat.SOCR.util
 
QSortAlgorithm() - Constructor for class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
QuantileApplet - Class in edu.uah.math.experiments
This applet displays the density function or cumulative distribution function for a variety of distributions.
QuantileApplet() - Constructor for class edu.uah.math.experiments.QuantileApplet
 
QuantileGraph - Class in edu.uah.math.devices
This class shows the density function or cumulative distribution function of a specified distribuiton.
QuantileGraph(Distribution, double) - Constructor for class edu.uah.math.devices.QuantileGraph
This general constructor creates a new quantile graph that shows a specified distribution and quanitle.
QuantileGraph(Distribution) - Constructor for class edu.uah.math.devices.QuantileGraph
This special constructor creates a new quantile graph that shows a specified distribution and the median (quanitle of order 0.5).
QuantileGraph() - Constructor for class edu.uah.math.devices.QuantileGraph
This default constructor creates a new quantile graph that shows the standard normal distribution and the median.
QuantileGraph - Class in edu.ucla.stat.SOCR.util
This class shows the getDensity function or cumulative distribution function of a specified distribuiton.
QuantileGraph(Distribution, double) - Constructor for class edu.ucla.stat.SOCR.util.QuantileGraph
This general constructor creates a new getQuantile graph with a specified distribution and getQuantile.
QuantileGraph(Distribution) - Constructor for class edu.ucla.stat.SOCR.util.QuantileGraph
This special constructor creates a new getQuantile graph with a specified distribution and the median (quanitle of order 0.5).
QuantileGraph() - Constructor for class edu.ucla.stat.SOCR.util.QuantileGraph
This default constructor creates a new getQuantile graph with the standard normal distribution and the median.
QuantileTable - Class in edu.uah.math.devices
This class defines a table for displaying a set of quantiles from a specified distribution.
QuantileTable(Distribution, double[]) - Constructor for class edu.uah.math.devices.QuantileTable
This general constructor creates a new quantile table corresponding to a given distribution and a given array of probabilities.
QuantileTable(Distribution, int) - Constructor for class edu.uah.math.devices.QuantileTable
This general constructor creates a new quantile table corresponding to a given distribution and a uniform set of probabilities.
QuantileTable() - Constructor for class edu.uah.math.devices.QuantileTable
This default constructor create a new quantile table corresponding to the standard normal distribution and size 10.
QUANTITATIVE - Static variable in class edu.ucla.stat.SOCR.analyses.data.DataType
 
QUEEN - Static variable in class edu.uah.math.devices.Card
 
QUEEN - Static variable in class edu.ucla.stat.SOCR.util.Card
 

R

R - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
r - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
R() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
R_SQUARE - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
R_SQUARED - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
R_SQUARED - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
radioButtonP - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
radioButtonP - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
Ranalysis - Class in edu.ucla.stat.SOCR.JRI
 
Ranalysis(String[]) - Constructor for class edu.ucla.stat.SOCR.JRI.Ranalysis
Constructor
Ranalysis(String[], String, String, String) - Constructor for class edu.ucla.stat.SOCR.JRI.Ranalysis
 
Ranalysis(Document, Document) - Constructor for class edu.ucla.stat.SOCR.JRI.Ranalysis
 
RANDOM_EXAMPLE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
RANDOM_EXAMPLE - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
randomDataStep - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
randomDataStep - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
RandomExample - Class in edu.ucla.stat.SOCR.analyses.example
 
RandomExample() - Constructor for class edu.ucla.stat.SOCR.analyses.example.RandomExample
 
RandomGenerator - Class in edu.ucla.stat.SOCR.util
 
RandomGenerator() - Constructor for class edu.ucla.stat.SOCR.util.RandomGenerator
 
randomKernel(double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
randomKernel(double) - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
randomKernels(double[]) - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
randomKernels() - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
randomKernels(double[]) - Method in class edu.ucla.stat.SOCR.util.Mixture
 
randomKernels() - Method in class edu.ucla.stat.SOCR.util.Mixture
 
randomPoints(int) - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
RandomPoints - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
randomPoints(int) - Method in class edu.ucla.stat.SOCR.util.Database
 
RandomVariable - Class in edu.uah.math.distributions
This class models a random variable in terms of a distribution and an interval dataset.
RandomVariable(Distribution, String) - Constructor for class edu.uah.math.distributions.RandomVariable
This general constructor creates a new random variable with a specified probability distribution and name.
RandomVariable(Distribution) - Constructor for class edu.uah.math.distributions.RandomVariable
This special constructor creates a new random variable with a specified probability distribution and the default name "X".
RandomVariable() - Constructor for class edu.uah.math.distributions.RandomVariable
This default constructor creates a new random variable with a normal distribution and with the default name "X".
RandomVariable - Class in edu.ucla.stat.SOCR.distributions
 
RandomVariable(Distribution, String) - Constructor for class edu.ucla.stat.SOCR.distributions.RandomVariable
General constructor: create a new random variable with a specified probability distribution and name
RandomVariable(Distribution) - Constructor for class edu.ucla.stat.SOCR.distributions.RandomVariable
Special constructor: create a new random variable with a specified probability distribution and the name X
RandomVariableExperiment - Class in edu.uah.math.experiments
This is a basic experiment for simulating the values from a number of distributions.
RandomVariableExperiment() - Constructor for class edu.uah.math.experiments.RandomVariableExperiment
 
RandomVariableExperiment - Class in edu.ucla.stat.SOCR.experiments
This is a basic experiment for simulating the values from a number of distributions.
RandomVariableExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.RandomVariableExperiment
This method initializes the experiment, including the toolbar with the distribution choice, scrollbars and label, and the random variable graph and table
RandomVariableGraph - Class in edu.uah.math.devices
This class defines a basic graph for displaying the distribution density and moments, and the data density and moments for a specified random variable.
RandomVariableGraph(RandomVariable) - Constructor for class edu.uah.math.devices.RandomVariableGraph
This general constructor creates a new random varaible graph with a specified random variable.
RandomVariableGraph() - Constructor for class edu.uah.math.devices.RandomVariableGraph
This default constructor creates a new random variable graph with a normally distributed random variable.
RandomVariableGraph - Class in edu.ucla.stat.SOCR.util
This class defines a basic graph for displaying the distribution getDensity and moments, and the data getDensity and moments for a specified random variable
RandomVariableGraph(RandomVariable) - Constructor for class edu.ucla.stat.SOCR.util.RandomVariableGraph
This general constructor creates a new random varaible graph with a specified random variable.
RandomVariableTable - Class in edu.uah.math.devices
This class defines a basic table for displaying the distribution and moments and the empirical distribution and moments for a specified random variable.
RandomVariableTable(RandomVariable) - Constructor for class edu.uah.math.devices.RandomVariableTable
This general constructor creates a new random variable table with a specified random variable.
RandomVariableTable() - Constructor for class edu.uah.math.devices.RandomVariableTable
This special constructor creates a new random variable table with a normall distributed random variable.
RandomVariableTable - Class in edu.ucla.stat.SOCR.util
Random variable table
RandomVariableTable(RandomVariable) - Constructor for class edu.ucla.stat.SOCR.util.RandomVariableTable
Constructor
RandomWalkExperiment - Class in edu.uah.math.experiments
This class models the simple random walk on the time interval [0, 2n].
RandomWalkExperiment() - Constructor for class edu.uah.math.experiments.RandomWalkExperiment
 
RandomWalkExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the simple random walk on the time interval [0, 2n].
RandomWalkExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.RandomWalkExperiment
This method initializes the experiment, including the toolbar containing the scrollbar, choice, and label, the graph panel containing the random walk graph and the random variable graph, and the table panel containing the record table and the radnom walk table.
RandomWalkGraph - Class in edu.uah.math.devices
This class models the graph of the simple ranodom walk on a specified interval of the form [0, n].
RandomWalkGraph(int, double) - Constructor for class edu.uah.math.devices.RandomWalkGraph
This general constructor creates a new random walk graph on a specified interval with a specified probability of a step in the positive direction.
RandomWalkGraph(int) - Constructor for class edu.uah.math.devices.RandomWalkGraph
This special constructor creates a new symmetric random walk graph on a specified interval.
RandomWalkGraph() - Constructor for class edu.uah.math.devices.RandomWalkGraph
This default constructor creates a new symmetric random walk graph on the interval [0, 10].
RandomWalkGraph - Class in edu.ucla.stat.SOCR.util
This class models the graph of the simple ranodom walk on the interval [0, n].
RandomWalkGraph(int, double) - Constructor for class edu.ucla.stat.SOCR.util.RandomWalkGraph
This general constructor creates a new random walk graph on the interval [0, n] with probability p of a step in the positive direction.
RandomWalkGraph(int) - Constructor for class edu.ucla.stat.SOCR.util.RandomWalkGraph
This special constructor creates a new symmetric random walk graph on the interval [0, n].
rangeLabel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
rangeValue(double) - Method in class edu.ucla.stat.SOCR.util.FloatSlider
 
rank - Variable in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
RANK_ARRAY - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
RANK_SUM_LARGE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
RANK_SUM_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
RANK_SUM_SMALL - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
rankCombinedLists(DataCase[]) - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
rankCombinedLists(DataCase[][], String[]) - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
rankCombinedLists(DataCase[], DataCase[]) - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
rankCombinedListsAssignQuantile(DataCase[][], String[], String) - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
rankList(DataCase[]) - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
rankListAssignQuantile(DataCase[], String) - Static method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
rateParamField - Variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
rateParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
raw_x - Variable in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
 
raw_x - Variable in class edu.ucla.stat.SOCR.chart.demo.IndexChart
 
raw_x - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
raw_x - Variable in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
raw_x - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
raw_x - Variable in class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
raw_x - Variable in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
raw_x - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
raw_x - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
raw_y - Variable in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
sample code showing how to create a chart using ChartGenerator_JTable class
raw_y - Variable in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
 
raw_y - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
raw_y - Variable in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
raw_y - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
raw_y - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
rawCheck - Variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
rawDat - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
rawDat - Variable in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
rawData - Variable in class edu.ucla.stat.SOCR.core.SOCRModeler
 
rawData - Variable in class edu.ucla.stat.SOCR.util.NormalCurve
 
rawToHist() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
RayleighDistr - Variable in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
RayleighDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implmentation of the Rayleigh distribution with specified alpha & beta parameters http://mathworld.wolfram.com/RayleighDistribution.html
RayleighDistribution(double) - Constructor for class edu.ucla.stat.SOCR.distributions.RayleighDistribution
General Constructor: creates a Rayleigh distribution with specified beta parameter
RayleighDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.RayleighDistribution
Default constructor: creates a Rayleigh distribution with beta parameter
RayleighFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
RayleighFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
RayleighFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
rBusy(Rengine, int) - Method in interface edu.ucla.stat.SOCR.JRI.RMainLoopCallbacks
 
rChooseFile(Rengine, int) - Method in interface edu.ucla.stat.SOCR.JRI.RMainLoopCallbacks
 
readAsciiData() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
readAsciiData() method Reads data from an ASCII text file (one number, probability-value, per line)
readAsciiMaskShape() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
readAsciiMaskShape() method Reads shape mask from an ASCII text file (one number, probability-value, per line)
readBinaryData() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
readBinaryData() method Reads data from a Binary file (4-byte floats)
readBinaryMaskVolume() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
readBinaryMaskVolume() method Reads volume-mask from a Binary file (1-byte character array)
readInput() - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
readXMLFile(String) - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
readXMLFile(String, String) - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
readXMLFile(URL, URL) - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
REALSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
rearrangeNumberAtRisk() - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
RecordTable - Class in edu.uah.math.devices
This class defines a basic table for displaying the results of a random experiment.
RecordTable(String[]) - Constructor for class edu.uah.math.devices.RecordTable
This general constructor creates a new record table with a specified array of variable names.
RecordTable() - Constructor for class edu.uah.math.devices.RecordTable
This default constructor creates a new record table with one variable called Run.
recordTable - Variable in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
recreateTableColumn(TableColumnModel) - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
RED - Static variable in class edu.uah.math.experiments.Experiment
 
RED - Static variable in class edu.uah.math.experiments.RouletteExperiment
 
RED - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Red colormap
RED - Static variable in class edu.ucla.stat.SOCR.util.Forest
 
RedBlackExperiment - Class in edu.uah.math.experiments
This class models the red and black experiment.
RedBlackExperiment() - Constructor for class edu.uah.math.experiments.RedBlackExperiment
 
RedBlackExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the red and black experiment.
RedBlackExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
This method initializes the experiment.
RedBlackGame - Class in edu.uah.math.games
This class models the red-black game.
RedBlackGame() - Constructor for class edu.uah.math.games.RedBlackGame
 
RedBlackGame - Class in edu.ucla.stat.SOCR.games
This class models the red-black game.
RedBlackGame() - Constructor for class edu.ucla.stat.SOCR.games.RedBlackGame
This method initializes the experiment.
RedBlackGraph - Class in edu.uah.math.devices
This is a specialized graph used in the red-black experiment.
RedBlackGraph(int, int) - Constructor for class edu.uah.math.devices.RedBlackGraph
This general constructor creates a new red-black graph with a specified initial fortune and target fortune.
RedBlackGraph() - Constructor for class edu.uah.math.devices.RedBlackGraph
This special constructor creates a new red-black graph with initial fortune 5 and target fortune 10.
RedBlackGraph - Class in edu.ucla.stat.SOCR.util
This is a specialized graph used in the red-black experiment.
RedBlackGraph(int, int) - Constructor for class edu.ucla.stat.SOCR.util.RedBlackGraph
This general constructor creates a new red-black graph with a specified initial fortune and target fortune.
RedColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a gray level colormap
RedColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.RedColorMap
Default constructor
RedColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.RedColorMap
Constructor
redoChart(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
redoChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
redoChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
redoChart() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
redoChart() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
redoChart() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
refContainer - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
Reference - Class in edu.ucla.stat.SOCR.distributome.data
 
Reference() - Constructor for class edu.ucla.stat.SOCR.distributome.data.Reference
 
refresh - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
refreshStatsTableButton - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
refs - Variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.core.Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
registerObservers(ObservableWrapper) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
Regression - Class in edu.ucla.stat.SOCR.analyses.model
 
Regression() - Constructor for class edu.ucla.stat.SOCR.analyses.model.Regression
 
RegressionLine - Class in edu.ucla.stat.SOCR.util
 
RegressionLine(double[], double[]) - Constructor for class edu.ucla.stat.SOCR.util.RegressionLine
 
regressionLineValueAt(double) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
RegressionScatterPlot - Class in edu.ucla.stat.SOCR.analyses.gui
Regression Scatter Plot object
RegressionScatterPlot() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
REL_FREQ - Static variable in class edu.uah.math.devices.DataTable
 
REL_FREQ - Static variable in class edu.uah.math.devices.Histogram
 
REL_FREQ - Static variable in class edu.ucla.stat.SOCR.util.DataGraph
 
REL_FREQ - Static variable in class edu.ucla.stat.SOCR.util.Histogram
 
REL_FREQ - Static variable in class edu.ucla.stat.SOCR.util.varHistogram
 
relax() - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
REMOVE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
REMOVE - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
REMOVE - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
removeAllPoints() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
removeButton1 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
removeButton1 - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
removeButton1 - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
removeButton2 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
removeButton2 - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
removeButton2 - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
removeButton3 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
removeButton3 - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
removeButton3 - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
removeButtonCensor() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
removeButtonCensor() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
removeButtonDependent() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
removeButtonDependent() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
removeButtonDependent() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
removeButtonDependent() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
removeButtonDependentAll() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
removeButtonDependentAll() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
removeButtonGroupNames() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
removeButtonGroupNames() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
removeButtonIndependent() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
removeButtonIndependent() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
removeButtonIndependentAll() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
removeButtonIndependentAll() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
removeButtonIndependentAll() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
removeButtonIndependentAll() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
removeButtonPullout() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
removeButtonPulloutAll() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
removeButtonTime() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
removeButtonTime() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
removeChangeListener(DatasetChangeListener) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Deregisters an object for notification of changes to the dataset.
removeChangeListener(DatasetChangeListener) - Method in class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Deregisters an object for notification of changes to the dataset.
removeChangeListener(ChartChangeListener) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Deregisters an object for notification of changes to the chart.
removeChangeListener(ChangeListener) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
Removes a ChangeListener from the player control.
removeComponent(int) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
removeComponent(int) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
removeComponent(int) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
removeEditor() - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
removeListeners() - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
removePropertyListener(PropertyChangeListener) - Method in interface edu.ucla.loni.LOVE.BoundedModel
Remove the PropertyChangeListener from this model.
removePropertyListener(PropertyChangeListener) - Method in class edu.ucla.loni.LOVE.BoundedModelImpl
Remove the PropertyChangeListener from this model.
removeTabbedPane(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method removes a component from the tabbed panel.
removeTabbedPane(int) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method removes a component from the tabbed panel.
removeTabbedPane(int) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
This method removes a component from the tabbed panel.
removeTabbedPane(int) - Method in class edu.ucla.stat.SOCR.chart.Chart
This method removes a component from the tabbed panel.
removeUpdate(DocumentEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
Rend(Rengine) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
Rengine - Class in edu.ucla.stat.SOCR.JRI
 
Rengine(String[], boolean, RMainLoopCallbacks) - Constructor for class edu.ucla.stat.SOCR.JRI.Rengine
 
reportUsage() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
reportUsage() method Report the usage of this class
reps - Variable in class edu.ucla.stat.SOCR.util.Anova
 
rescale - Variable in class edu.ucla.stat.SOCR.core.SOCRModeler
 
reset() - Method in class edu.uah.math.devices.BallotGraph
This method resets the balot graph.
reset() - Method in class edu.uah.math.devices.CellGrid
This method resets the cell grid.
reset() - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method resets the balot graph.
reset() - Method in class edu.uah.math.devices.DataTable
This method resets the table.
reset() - Method in class edu.uah.math.devices.DistributionGraph
This method sets the graph scale.
reset() - Method in class edu.uah.math.devices.Forest
This method resets the forest to a completely green forest.
reset() - Method in class edu.uah.math.devices.GaltonBoard
This method resets the Galton board, including the path, bit string, and subset.
reset() - Method in class edu.uah.math.devices.InteractiveHistogram
This method resets the interactive histogram by removing all values in the dataset.
reset() - Method in class edu.uah.math.devices.MedianGraph
This method resets the graph.
reset() - Method in class edu.uah.math.devices.ProbabilityPlot
This method resets the graph and clears the data.
reset() - Method in class edu.uah.math.devices.RandomVariableGraph
This method resets the graph.
reset() - Method in class edu.uah.math.devices.RandomVariableTable
This method rests the table.
reset() - Method in class edu.uah.math.devices.RecordTable
This method resets the table by resetting the underlying data model.
reset() - Method in class edu.uah.math.devices.SampleTable
This method resets the table by resetting the underlying data model and then repainting.
reset() - Method in class edu.uah.math.devices.ScatterPlot
This method resets the scatterplot by clearing the data and redrawing.
reset() - Method in class edu.uah.math.devices.StatisticsTable
This method resets the table by resetting the data.
reset() - Method in class edu.uah.math.devices.Stick
This method resets the stick to its ubroken form.
reset() - Method in class edu.uah.math.devices.Timeline
This method resets the data, by clearing the vector of times and colors, and then repaints the timeline.
reset() - Method in class edu.uah.math.devices.UrnChain
This method resets the interval data.
reset() - Method in class edu.uah.math.devices.UserScatterPlot
This method resets the scatterplot by clearing the data.
reset() - Method in class edu.uah.math.devices.VarianceTestGraph
This method resets the graph and assigns the distribution mean and standard deviation.
reset() - Method in class edu.uah.math.devices.Voters
This method resets the voters.
reset() - Method in class edu.uah.math.distributions.Data
This method resets the data set by removing all values.
reset() - Method in class edu.uah.math.distributions.IntervalData
This method resets the data set.
reset() - Method in class edu.uah.math.distributions.RandomVariable
This method resets the data distribution.
reset() - Method in class edu.uah.math.experiments.BallotExperiment
This method resets the experiment, including the record table, the ballot graph, the random variable graph and table, and the indicator variable for the ballot event.
reset() - Method in class edu.uah.math.experiments.BertrandExperiment
This method resets the experiment, including the record table, floor, random variable, random variable graph and table.
reset() - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method resets the experiment, including the record table, the beta graph, the statistcs table.
reset() - Method in class edu.uah.math.experiments.BetaEstimateExperiment
This method resets the experiment.
reset() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method resets the experiment, including the record table, coin box, the random variables, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method resets the experiment, including the timeline, record table, random variable, random variable graph and table.
reset() - Method in class edu.uah.math.experiments.BirthdayExperiment
This method resets the experiment, including the balls, the random variable graph and table, and the record table.
reset() - Method in class edu.uah.math.experiments.BivariateNormalExperiment
This method resets the experiment, including the random variable graphs and tables, the correlation table, scatterplot and record table.
reset() - Method in class edu.uah.math.experiments.BivariateUniformExperiment
This method resets the experiment, including the random variable graphs and tables, the record table, the scatterplot, and the correlation table.
reset() - Method in class edu.uah.math.experiments.BuffonCoinExperiment
This method resets the experiment, including the record table, the floor, the scatterplot, the cross event random variable, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.BuffonNeedleExperiment
This method resets the experiment, including the record table, the pi estimate table, the floor, the scatter plot, the pi estimate graph, the cross event random variable, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.CardExperiment
This method resets the experiment.
reset() - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
This method resets the experiment, including the record table, the die variable, the test statistic, the reject random variable, the dice graph, the critical graph, the reject graph, the reject table, and the sample table.
reset() - Method in class edu.uah.math.experiments.ChuckALuckExperiment
This method resets the experiment, including the dice board, the record table, the win random variable, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.CoinDieExperiment
This method resets the experiment, including the coin, die, die random variable, record table, and random variable graph and table.
reset() - Method in class edu.uah.math.experiments.CoinSampleExperiment
This method resets the experiment, including the record table and the coin box.
reset() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method resets the experiment, including the record table, coin box, the random variables, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method resets the experiment, including the record table, cell grid, the sample size random varible, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.CrapsExperiment
This method resets the experiment, including the dice board, profit random variable, record table, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.DiceExperiment
This method resets the experiment, including the record table, the dice, the random variables, and the graph and table for the selected variable.
reset() - Method in class edu.uah.math.experiments.DiceSampleExperiment
This method stops the step process, if necessary, and then resets the experiment by resetting the record table and the dice board.
reset() - Method in class edu.uah.math.experiments.DieCoinExperiment
This method resets the experiment, including the record table, the number of heads random varible, the die and coins, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.EstimateExperiment
This method resets the experiment, including the random variable and the random variable graph.
reset() - Method in class edu.uah.math.experiments.Experiment
This method is the default reset method, that resets the process to its initial state.
reset() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method resets the experiment, including the timeline, record table, random variable graph and table.
reset() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This method resets the experiment, including the random variable table and graph, and the ball panel.
reset() - Method in class edu.uah.math.experiments.FireExperiment
This method resets the experiment, including the forest, and the record table.
reset() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method resets the experiment, including the Galton board, the record table, the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.Game
This is the method for resetting the game and should be overridden.
reset() - Method in class edu.uah.math.experiments.GammaEstimateExperiment
This method resets the experiment.
reset() - Method in class edu.uah.math.experiments.GammaExperiment
This method resets the experiment, including the timeline, record table, random variable graph and table.
reset() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method resets the experiment, including the record table, coin box, the random variables, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.MarkovChainExperiment
This method resets the experiment, including the Markov chain, the record table the histogram and data table.
reset() - Method in class edu.uah.math.experiments.MatchExperiment
This method resets the experiment, including the ball panel, the record table, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.MeanEstimateExperiment
This method resets the experiment, including the sampling variable, standard score variable and success variable, and the corresponding graphs and tables.
reset() - Method in class edu.uah.math.experiments.MeanTestExperiment
This method resets the experiment, including the sampling random variable, the standard score variable, the test graph, the standard score graph, the reject graph and table, and the record table.
reset() - Method in class edu.uah.math.experiments.MontyHallExperiment
This method resets the experiment, including the record table, the doors, the random variable graph and table, and the record table.
reset() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method resets the experiment, including the timeline, record table, random variable graph and table.
reset() - Method in class edu.uah.math.experiments.NormalEstimateExperiment
This method resets the experiment.
reset() - Method in class edu.uah.math.experiments.OrderStatisticExperiment
This method resets the experiment, including the random variable graphs and tables, the sample table, and the record table.
reset() - Method in class edu.uah.math.experiments.ParetoEstimateExperiment
This method resets the experiment.
reset() - Method in class edu.uah.math.experiments.PointExperiment
This method resets the experiment, including the coins, the record table, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.Poisson2DExperiment
This method resets the experiment, including the scatterplot, record table, random variable graph and table.
reset() - Method in class edu.uah.math.experiments.PoissonExperiment
This method resets the experiment, including the timeline, record table, random variable graph and table.
reset() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method resets the experiment, including the timeline, the random variable graphs and tables, and the record table.
reset() - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method resets the experiment, including the dice board, hand type random variable, record table, and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.PokerExperiment
This method resets the experiment, including the cards, the random variable graph and table, and the record table.
reset() - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
This method resets the experiment, including the record table, probability plot, and the graph of the sampling distribution.
reset() - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
This method resets the exeperiment, including the sampling, standard score, and success random variables, the estimate, standard score and success graphs, and the sample, record, and success tables.
reset() - Method in class edu.uah.math.experiments.ProportionTestExperiment
This method resets the experiment, including the sampling, standard score, and reject ranodm variables, the test, standard score, and reject graphs, and the sample, record, and reject tables.
reset() - Method in class edu.uah.math.experiments.RandomVariableExperiment
This method resets the experiment, including the record table and the random variable graph and table.
reset() - Method in class edu.uah.math.experiments.RandomWalkExperiment
This method resets the experiment, including the random walk graph, the random variable table and graph, and the record table.
reset() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method resets the experiment, including the success random variable, the red-black graph, the success graph, the number of trials graph, the record table, the success table, and the number of trials table.
reset() - Method in class edu.uah.math.experiments.RouletteExperiment
This method resets the experiment, including the roulette wheel, the random variable graph and table, and the record table.
reset() - Method in class edu.uah.math.experiments.SampleMeanExperiment
This method resets the experiment, including the sampling and sample mean random varibles, the table and graph of the sampling variable, the the table and graph of the sample mean variable.
reset() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method resets the experiment, including the random variable and the random variable graph.
reset() - Method in class edu.uah.math.experiments.SignTestExperiment
This method resets the experiment, including the sample, sign, and reject random variables, the graph and table for the reject random variable, the graph and table for the sample random variable.
reset() - Method in class edu.uah.math.experiments.SpinnerExperiment
This method resets the experiment, including the record table, the random variable, the random variable graph and table, and the spinner.
reset() - Method in class edu.uah.math.experiments.TriangleExperiment
This method resets the experiment, including the record table, triangle, scatterplot, random variable table and graph.
reset() - Method in class edu.uah.math.experiments.Uniform_E_EstimateExperiment
This method resets the experiment.
reset() - Method in class edu.uah.math.experiments.UniformEstimateExperiment
This method resets the experiment.
reset() - Method in class edu.uah.math.experiments.UrnExperiment
This method resets the experiment, including the urn, the random variable, the random variable graph and table, and the record table.
reset() - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
This method resets the experiment, including the samping and chi-square random variables, the success graph, the sample array, the estimate graph, the chi- square graph,the sample table, the record table, and the success table.
reset() - Method in class edu.uah.math.experiments.VarianceTestExperiment
This method resets the experiment, including the sampling, chi-square, and reject random variables, , the sample array, the test graph, the chi-square graph, the reject graph, the sample table, the record table, and the reject table.
reset() - Method in class edu.uah.math.experiments.VoterExperiment
This method resets the experiment, including the voters, and the record table.
reset() - Method in class edu.uah.math.games.BivariateGame
This method resets the experiment, including the scatterplot, the record table, and the statistics table.
reset() - Method in class edu.uah.math.games.ErrorGame
This method resets the experiment, including the record table, the histogram, the data table, and the error graph.
reset() - Method in class edu.uah.math.games.GaltonBoardGame
This method resets the experiment, including the Galton board and the record table.
reset() - Method in class edu.uah.math.games.Game
This is the method for resetting the game and should be overridden.
reset() - Method in class edu.uah.math.games.HistogramGame
This method resets the applet, including the record table, data table, and histogram
reset() - Method in class edu.uah.math.games.MontyHallGame
This message resets the game by closing the doors and resetting the text message, win graph, win table, and record table.
reset() - Method in class edu.uah.math.games.RedBlackGame
This method resets the experiment, including the success random variable, the record table, the table for the number of trials, and the table and graph for the success random variable.
reset() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method is the default reset method, that resets the analysis process to its initial state.
reset() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
reset() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
reset() - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
reset() - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
 
reset() - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
reset() - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
 
reset() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
reset() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
reset() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
reset() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method is the default reset method, that resets the analysis process to its initial state.
reset() - Method in class edu.ucla.stat.SOCR.applications.Application
 
reset() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
This method is the default reset method, that resets the process to its initial state.
reset() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
reset() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
reset() - Method in class edu.ucla.stat.SOCR.core.Experiment
This method is the default reset method, that resets the process to its initial state.
reset() - Method in class edu.ucla.stat.SOCR.core.Game
This is the method for resetting the game and should be overridden.
reset() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
This method is the default reset method, that resets the process to its initial state.
reset() - Method in interface edu.ucla.stat.SOCR.core.IGame
This is the method for resetting the game and should be overridden.
reset() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
This is the method for resetting the Model and should be overridden.
RESET - Variable in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
RESET - Variable in class edu.ucla.stat.SOCR.core.SOCRGames
 
reset() - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method resets the data set
reset() - Method in class edu.ucla.stat.SOCR.distributions.RandomVariable
Reset the data distribution
reset() - Method in class edu.ucla.stat.SOCR.experiments.BallotExperiment
This method resets the experiment, including the record table, the ballot graph, the random variable graph and table, and the indicator variable for the ballot event.
reset() - Method in class edu.ucla.stat.SOCR.experiments.BertrandExperiment
Reset the experiment: record table, floor, random variable, random variable graph and table
reset() - Method in class edu.ucla.stat.SOCR.experiments.BetaCoinExperiment
This method resets the experiment, including the record table, the beta graph, the statistcs table
reset() - Method in class edu.ucla.stat.SOCR.experiments.BetaEstimateExperiment
This method resets the experiment, by resetting the random variable graph, record table, and statistics graph
reset() - Method in class edu.ucla.stat.SOCR.experiments.BinomialCoinExperiment
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.BinomialTimelineExperiment
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.BirthdayExperiment
Reset the experiment
reset() - Method in class edu.ucla.stat.SOCR.experiments.BivariateNormalExperiment
This method resets the experiment, including the random variable graphs and tables, the correlation table, scatterplot and record table
reset() - Method in class edu.ucla.stat.SOCR.experiments.BivariateUniformExperiment
This method resets the experiment, including the random variable graphs and tables, the record table, the scatterplot, and the correlation table.
reset() - Method in class edu.ucla.stat.SOCR.experiments.BuffonCoinExperiment
Reset the experiment
reset() - Method in class edu.ucla.stat.SOCR.experiments.BuffonNeedleExperiment
Reset the experiment: record table, pi table, floor, scatter plot, pi graph random variable graph and table
reset() - Method in class edu.ucla.stat.SOCR.experiments.CardExperiment
Reset the experiment.
reset() - Method in class edu.ucla.stat.SOCR.experiments.ChiSquareFitExperiment
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.ChuckALuckExperiment
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.CoinDieExperiment
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.CoinSampleExperiment
Reset the experiment
reset() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentSimple
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.CouponCollectorExperiment
Reset the experiment
reset() - Method in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.DiceExperiment
This method resets the experiment, including the record table, the dice, the random variables, and the graph and table for the selected variable
reset() - Method in class edu.ucla.stat.SOCR.experiments.DiceSampleExperiment
Reset the experiment
reset() - Method in class edu.ucla.stat.SOCR.experiments.DieCoinExperiment
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.EstimateExperiment
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.experiments.ExponentialExperiment
This method resets the experiment, including the record table, random variable graph and table, and the time line
reset() - Method in class edu.ucla.stat.SOCR.experiments.FiniteOrderStatisticExperiment
This method resets the experiment, including the random variable table and graph, and the ball panel.
reset() - Method in class edu.ucla.stat.SOCR.experiments.FireExperiment
This method resets the experiment, including the forest, and the record table.
reset() - Method in class edu.ucla.stat.SOCR.experiments.GaltonBoardExperiment
This method resets the experiment, including the Galton board, the record table, the random variable graph and table
reset() - Method in class edu.ucla.stat.SOCR.experiments.GammaEstimateExperiment
This method resets the experiment, including the record table, the random variable graph and the statistics table.
reset() - Method in class edu.ucla.stat.SOCR.experiments.GammaExperiment
This method resets the experiment, including the timeline, record table, random variable graph and table
reset() - Method in class edu.ucla.stat.SOCR.experiments.GeneralBirthdayExperiment
This method resets the experiment, including the balls, the random variable graph and table, and the record table
reset() - Method in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
This method resets the experiment, including the sampling variable, standard score variable and success variable, and the corresponding graphs and tables.
reset() - Method in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.MontyHallExperiment
This method resets the experiment, including the record table, the doors, the random variable graph and table, and the record table
reset() - Method in class edu.ucla.stat.SOCR.experiments.NegativeBinomialExperiment
This method resets the experiment, including the timeline, record table, random variable graph and table.
reset() - Method in class edu.ucla.stat.SOCR.experiments.NormalEstimateExperiment
This method resets the experiment, including the record table, statistics table, and random variable graph.
reset() - Method in class edu.ucla.stat.SOCR.experiments.OrderStatisticExperiment
This method resets the experiment, including the random variable graphs and tables, the sample table, and the record table.
reset() - Method in class edu.ucla.stat.SOCR.experiments.PointExperiment
This method resets the experiment, including the coins, the record table, and the random variable graph and table
reset() - Method in class edu.ucla.stat.SOCR.experiments.Poisson2DExperiment
This method resets the experiment, including the scatterplot, record table, random variable graph and table.
reset() - Method in class edu.ucla.stat.SOCR.experiments.PoissonExperiment
This method resets the experiment, including the timeline, record table, random variable graph and table
reset() - Method in class edu.ucla.stat.SOCR.experiments.PoissonSplitExperiment
This method resets the experiment, including the timeline, the random variable graphs and tables, and the record table
reset() - Method in class edu.ucla.stat.SOCR.experiments.PokerDiceExperiment
Reset the experiment
reset() - Method in class edu.ucla.stat.SOCR.experiments.PokerExperiment
This method resets the experiment, including the cards, the random variable graph and table, and the record table
reset() - Method in class edu.ucla.stat.SOCR.experiments.ProbabilityPlotExperiment
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.experiments.ProportionEstimateExperiment
This method resets the exeperiment.
reset() - Method in class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.experiments.RandomVariableExperiment
This method resets the experiment, including the record table and the random variable graph and table
reset() - Method in class edu.ucla.stat.SOCR.experiments.RandomWalkExperiment
This method resets the experiment, including the random walk graph, the random variable table and graph, and the record table.
reset() - Method in class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
This method resets the experiment, including the roulette wheel, the random variable graph and table, and the record table.
reset() - Method in class edu.ucla.stat.SOCR.experiments.SampleMeanExperiment
This method resets the distribution.
reset() - Method in class edu.ucla.stat.SOCR.experiments.SignTestExperiment
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.experiments.SpinnerExperiment
This method resets the experiment
reset() - Method in class edu.ucla.stat.SOCR.experiments.TriangleExperiment
This method resets the experiment, including the record table, triangle, scatterplot, random variable table and graph
reset() - Method in class edu.ucla.stat.SOCR.experiments.UniformEstimateExperiment
This method resets the experiment, including the record table, the statistics table, and the random variable graph.
reset() - Method in class edu.ucla.stat.SOCR.experiments.UrnExperiment
 
reset() - Method in class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.experiments.VoterExperiment
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.games.BivariateGame
This method resets the experiment, including the scatterplot, the record table, and the statistics table.
reset() - Method in class edu.ucla.stat.SOCR.games.ErrorGame
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.games.GaltonBoardGame
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.games.HistogramGame
This method resets the applet
reset() - Method in class edu.ucla.stat.SOCR.games.MontyHallGame
This message resets the game
reset() - Method in class edu.ucla.stat.SOCR.games.RedBlackGame
This method resets the experiment.
reset() - Method in class edu.ucla.stat.SOCR.util.BallotGraph
This method resets the balot graph
reset() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method resets the data
reset() - Method in class edu.ucla.stat.SOCR.util.BivariateScatterPlot
 
reset() - Method in class edu.ucla.stat.SOCR.util.CellGrid
This method resets the cell grid
reset() - Method in class edu.ucla.stat.SOCR.util.CoinFloor
The method resets the floor
reset() - Method in class edu.ucla.stat.SOCR.util.DataTable
This method resets the table.
reset() - Method in class edu.ucla.stat.SOCR.util.Forest
This method resets the forest to a completely green forest.
reset() - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method resets the Galton board, including the path, bit string, and subset
reset() - Method in class edu.ucla.stat.SOCR.util.InteractiveHistogram
This method resets the interactive histogram.
reset() - Method in class edu.ucla.stat.SOCR.util.MedianGraph
This method resets the graph.
reset() - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
Reset the floor
reset() - Method in class edu.ucla.stat.SOCR.util.ProbabilityPlot
This method resets the graph.
reset() - Method in class edu.ucla.stat.SOCR.util.RandomVariableGraph
This method resets the random variable graph.
reset() - Method in class edu.ucla.stat.SOCR.util.RandomVariableTable
Reset the table.
reset() - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method resets the random walk graph.
reset() - Method in class edu.ucla.stat.SOCR.util.RouletteWheel
 
reset() - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method resets the scatterplot by clear the data and redrawing
reset() - Method in class edu.ucla.stat.SOCR.util.Timeline
This method resets the data and repaints the timeline
reset() - Method in class edu.ucla.stat.SOCR.util.Triangle
This method resets the stick
reset() - Method in class edu.ucla.stat.SOCR.util.UserScatterPlot
This method resets the experiment
reset() - Method in class edu.ucla.stat.SOCR.util.VarianceTestGraph
This method resets the graph.
reset() - Method in class edu.ucla.stat.SOCR.util.Voters
This method resets the voters.
reset_BinSlider() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
Receives JSlider change events and updates the chart accordingly.
reset_PowerSlider() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
reset_PowerSlider() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
reset_PowerSlider() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
reset_slider() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
reset_slider() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
resetBet() - Method in class edu.uah.math.games.RedBlackGame
This method resets the bet.
resetBet() - Method in class edu.ucla.stat.SOCR.games.RedBlackGame
This method resets the bet.
resetButton - Variable in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
resetButton - Variable in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
resetChart() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
resetControlPanel() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
resetCycle() - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
resetData() - Method in class edu.uah.math.devices.ScatterPlot
This method resets the data by clearing the vectors of x coordinates, y coordinates, and colors.
resetData() - Method in class edu.uah.math.devices.Timeline
This method resets the data by clearing the vector of times and color.
resetData() - Method in class edu.ucla.stat.SOCR.util.Timeline
This method resets the data
resetEdgeColor() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.EventFrequencyDemo1
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo3
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo4
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo5
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo6
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.IndexChart
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.NormalDistributionDemo
use demo data to reset JTable and redraw the graph
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo2
 
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_Time
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
reset dataTable to default (demo data), and refesh chart
resetExample() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
reset dataTable to default (demo data), and refesh chart
resetGame() - Method in class edu.uah.math.games.RedBlackGame
This method resets the game, including the red-black graph, the game table.
resetGame() - Method in class edu.ucla.stat.SOCR.games.RedBlackGame
This method resets the game.
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
 
resetGraph() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
 
resetGraphLimits() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
resetHypotheseType() - Method in class edu.ucla.stat.SOCR.util.NormalCurve
 
resetMappingList() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
resetMappingList() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
resetMappingList() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
resetMappingList() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
resetMappingListGUI() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
resetMappingListGUI() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
resetNodeColor() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
resetParameterSelect() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
resetParameterSelect() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
resetParameterSelect() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
resetPoints() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
resetRadioButton(int) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
resetRadioButton(int) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
resetRTableRows(int) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
resetRTableRows(int) - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
resetSample() - Method in class edu.uah.math.experiments.EstimateExperiment
This method resets the random variable and its graph.
resetSample() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method resets the random variable and its graph.
resetSample() - Method in class edu.ucla.stat.SOCR.experiments.EstimateExperiment
This method resets the random variable and its graph.
resetSize() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
resetSize(double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
resetSize(int, double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
resetTable() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
resetTable() - Method in class edu.ucla.stat.SOCR.chart.Chart
clear data panel
resetTable() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
resetTableColumns(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
resetTableColumns(int) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
resetTableColumns(int) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
resetTableRows(int) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
resetTableRows(int) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
resetTableRows(int) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
resetUpdateCount() - Method in class edu.ucla.stat.SOCR.core.Experiment
 
resetVisualize() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
resetVisualize() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
resetVisualize() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
The predicted residuals of The model.
RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
the residuals (as a double[]) of a model.
RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
The predicted residuals of The model.
RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
the residuals (as a double[]) of a model.
RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The predicted residuals of The model.
resolveEntity(String, String) - Method in class edu.ucla.stat.SOCR.distributome.editor.XmlValidator
Resolves access to external entities.
RESULT - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
RESULT - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
Result - Class in edu.ucla.stat.SOCR.analyses.jri.result
 
Result(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
Result(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
Result(String) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
Result(Document) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
Result - Class in edu.ucla.stat.SOCR.analyses.result
 
Result(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.Result
 
Result(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.Result
 
Result(String) - Constructor for class edu.ucla.stat.SOCR.analyses.result.Result
 
Result(Document) - Constructor for class edu.ucla.stat.SOCR.analyses.result.Result
 
RESULT_COL - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
RESULT_PANEL_COL_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
RESULT_PANEL_ROW_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
RESULT_ROW - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
resultPanel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
resultPanel - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
resultPanel - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
resultPanelTextArea - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
resultPanelTextArea - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
resultPanelTextArea - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
ResultType - Class in edu.ucla.stat.SOCR.analyses.jri.result
 
ResultType() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.ResultType
 
ResultType - Class in edu.ucla.stat.SOCR.analyses.result
 
ResultType() - Constructor for class edu.ucla.stat.SOCR.analyses.result.ResultType
 
RET_CANCEL - Static variable in class edu.ucla.stat.SOCR.gui.OKDialog
A return status code - returned if Cancel button has been pressed
RET_CANCEL - Static variable in class edu.ucla.stat.SOCR.util.OKDialog
A return status code - returned if Cancel button has been pressed
RET_OK - Static variable in class edu.ucla.stat.SOCR.gui.OKDialog
A return status code - returned if OK button has been pressed
RET_OK - Static variable in class edu.ucla.stat.SOCR.util.OKDialog
A return status code - returned if OK button has been pressed
returnModelX() - Method in class edu.ucla.stat.SOCR.core.Modeler
returns the fitted model values for X axis
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
returnModelX() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.core.Modeler
returns the fitted densisty for corresponding X axis values
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
returnModelY() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
reverseDoubleIndex(double[][]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
REXP - Class in edu.ucla.stat.SOCR.JRI
 
REXP(Rengine, long) - Constructor for class edu.ucla.stat.SOCR.JRI.REXP
create a REXP directly from a R SEXP reference.
rFlushConsole(Rengine) - Method in interface edu.ucla.stat.SOCR.JRI.RMainLoopCallbacks
 
RI_ANALYSIS_TYPE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
RI_ANALYSIS_TYPE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
RI_ANALYSIS_TYPE - Static variable in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
RIAnalysis - Class in edu.ucla.stat.SOCR.analyses.ri
 
RIAnalysis() - Constructor for class edu.ucla.stat.SOCR.analyses.ri.RIAnalysis
 
RIAnalysisType - Class in edu.ucla.stat.SOCR.analyses.ri
 
RIAnalysisType() - Constructor for class edu.ucla.stat.SOCR.analyses.ri.RIAnalysisType
 
RiceDistr - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
RiceDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Rice (Rician) distribution.
RiceDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.RiceDistribution
This general constructor creates a new Rician distribution.
RiceDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.RiceDistribution
This default constructor creates a new Von Mises distribuiton on (0, 1).
RiceDistribution(double[]) - Constructor for class edu.ucla.stat.SOCR.distributions.RiceDistribution
 
RiceDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.RiceDistribution
 
RiceDistribution(double[], boolean) - Constructor for class edu.ucla.stat.SOCR.distributions.RiceDistribution
 
RiceDistribution(float[], boolean) - Constructor for class edu.ucla.stat.SOCR.distributions.RiceDistribution
 
RiceFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Rice Distribution Fit model fitting curve.
RiceFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
RiceFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
RIGHT - Static variable in class edu.uah.math.devices.DiceBoard
 
RIGHT - Static variable in class edu.uah.math.devices.Die
 
RIGHT - Static variable in class edu.uah.math.devices.Forest
 
RIGHT - Static variable in class edu.uah.math.devices.Graph
 
RIGHT - Static variable in class edu.uah.math.distributions.DieDistribution
 
RIGHT - Static variable in class edu.uah.math.experiments.MeanTestExperiment
 
RIGHT - Static variable in class edu.uah.math.experiments.ProportionTestExperiment
 
RIGHT - Static variable in class edu.uah.math.experiments.VarianceTestExperiment
 
RIGHT - Static variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Orientation of the triangle
RIGHT - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
right - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
RIGHT - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
RIGHT - Static variable in class edu.ucla.stat.SOCR.distributions.DieDistribution
 
RIGHT - Static variable in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
 
RIGHT - Static variable in class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
 
RIGHT - Static variable in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
 
right - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
RIGHT - Static variable in class edu.ucla.stat.SOCR.util.DiceBoard
 
RIGHT - Static variable in class edu.ucla.stat.SOCR.util.Die
 
RIGHT - Static variable in class edu.ucla.stat.SOCR.util.Forest
 
RIGHT - Static variable in class edu.ucla.stat.SOCR.util.Graph
 
rightCDFValue - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
rightCDFValue - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
rightCutOff - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
rightCutOff - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
rightCutOffLabel - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
rightCutOffLabel - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
rightCutOffValue - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
rightCutOffValue - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
rightLimitField - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
rightLimitLabel - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
rightMargin - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
rightMargin - Variable in class edu.ucla.stat.SOCR.util.Graph
 
rightPanel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
rightPanel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
rightParamField - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
rightParamField - Variable in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
rightParamField - Variable in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
rightParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
rightParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
rightParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
rightx - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
rigidIntegralMotionOfDiscriteDistributions(boolean) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method ensures that LEFT and RIGHT limits for areas in DISCRETE distributions are limited to only integer values.
rigidIntegralMotionOfDiscriteDistributions(boolean) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method ensures that LEFT and RIGHT limits for areas in DISCRETE distributions are limited to only integer values.
RingChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a ring chart using data from a DefaultPieDataset.
RingChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.RingChartDemo1
 
RInterface - Class in edu.ucla.stat.SOCR.servlet.analyses
 
RInterface() - Constructor for class edu.ucla.stat.SOCR.servlet.analyses.RInterface
 
rLoadHistory(Rengine, String) - Method in interface edu.ucla.stat.SOCR.JRI.RMainLoopCallbacks
 
RLoop(Rengine) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
RMainLoopCallbacks - Interface in edu.ucla.stat.SOCR.JRI
 
rniAssign(String, long, long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniCAR(long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniCDR(long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniCons(long, long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniEval(long, long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniExpType(long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniGetAttr(long, String) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniGetDoubleArray(long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniGetIntArray(long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniGetList(long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniGetString(long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniGetStringArray(long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniGetVector(long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniGetVersion() - Static method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniIdle() - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniParse(String, int) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniPutDoubleArray(double[]) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniPutIntArray(int[]) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniPutList(long[]) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniPutString(String) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniPutStringArray(String[]) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniPutVector(long[]) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniRunMainLoop() - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniSetAttr(long, String, long) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniSetupR(String[]) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
rniStop(int) - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
roll() - Method in class edu.uah.math.devices.DiceBoard
This method rolls the dice.
roll() - Method in class edu.uah.math.devices.Die
This method sets the value of the die to a random value, as determined by the probabilities.
roll(int) - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method rolls the first n dice.
roll() - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method rolls all of the dice.
roll() - Method in class edu.ucla.stat.SOCR.util.Die
This method sets the value of the die to a random value, as determined by the probabilities
ROTATEOFF - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
rotateOn - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
ROTATEON - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
Rotator - Class in edu.ucla.stat.SOCR.chart.gui
The rotator.
Rotator(PiePlot3D) - Constructor for class edu.ucla.stat.SOCR.chart.gui.Rotator
Constructor.
Rotator(PiePlot) - Constructor for class edu.ucla.stat.SOCR.chart.gui.Rotator
 
RouletteExperiment - Class in edu.uah.math.experiments
This class models the casino roulette experiment.
RouletteExperiment() - Constructor for class edu.uah.math.experiments.RouletteExperiment
 
RouletteExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the casino roulette experiment.
RouletteExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.RouletteExperiment
This method initializes the experiment by setting up the toolbar with the bet choice, and initializing the roulette wheel.
RouletteWheel - Class in edu.uah.math.devices
This class models the standard American roulette wheel.
RouletteWheel() - Constructor for class edu.uah.math.devices.RouletteWheel
This default constructor creates a new roulette wheel.
RouletteWheel - Class in edu.ucla.stat.SOCR.util
 
RouletteWheel() - Constructor for class edu.ucla.stat.SOCR.util.RouletteWheel
 
row_count - Variable in class edu.ucla.stat.SOCR.chart.demo.IndexChart
 
row_count - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
row_count - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
row_count - Variable in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
row_count - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
row_count - Variable in class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
row_count - Variable in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
row_count - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
ROW_NAMES - Static variable in class edu.ucla.stat.SOCR.analyses.model.ChiSquareContingencyTable
 
ROW_NAMES - Static variable in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
ROW_NAMES - Static variable in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
ROW_NAMES - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
ROW_SUM - Static variable in class edu.ucla.stat.SOCR.analyses.result.ChiSquareContingencyTableResult
 
ROW_SUM - Static variable in class edu.ucla.stat.SOCR.analyses.result.FisherExactResult
 
RowComparator - Interface in edu.ucla.stat.SOCR.util.tablemodels
A comparison function used for sorting table rows.
rowCount - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
RowFilter - Interface in edu.ucla.stat.SOCR.util.tablemodels
A filter function used for filtering table rows.
RowHeaderRenderer - Class in edu.ucla.stat.SOCR.util
 
RowHeaderRenderer() - Constructor for class edu.ucla.stat.SOCR.util.RowHeaderRenderer
 
RowHeaderTable - Class in edu.ucla.stat.SOCR.util
Package: edu.ucla.stat.SOCR.util User: Khashim Date: Aug 20, 2008 Time: 11:39:01 PM
RowHeaderTable() - Constructor for class edu.ucla.stat.SOCR.util.RowHeaderTable
 
RowHeaderTable(int, int) - Constructor for class edu.ucla.stat.SOCR.util.RowHeaderTable
 
RowHeaderTable(String[], String[]) - Constructor for class edu.ucla.stat.SOCR.util.RowHeaderTable
 
RowHeaderTable(int, String[], int, String[]) - Constructor for class edu.ucla.stat.SOCR.util.RowHeaderTable
 
RowHeaderTable(DefaultTableModel) - Constructor for class edu.ucla.stat.SOCR.util.RowHeaderTable
 
rowNames - Variable in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
rowNames - Variable in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
rowNames - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
rowNumber - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
rowNumber - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
rowNumber - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
rowNumber - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
rows - Variable in class edu.ucla.stat.SOCR.util.Matrix
 
rPanel - Variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
rPanel - Variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
rReadConsole(Rengine, String, int) - Method in interface edu.ucla.stat.SOCR.JRI.RMainLoopCallbacks
 
rSaveHistory(Rengine, String) - Method in interface edu.ucla.stat.SOCR.JRI.RMainLoopCallbacks
 
rShowMessage(Rengine, String) - Method in interface edu.ucla.stat.SOCR.JRI.RMainLoopCallbacks
 
RSS_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
RSS_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
RSS_ERROR - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
RSS_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
RSS_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
RSS_GROUP - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
RSS_MODEL - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
RSS_MODEL - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
RSS_MODEL - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
RSS_TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
RSS_TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
RSS_TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
Rstart(String[]) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
rtype - Variable in class edu.ucla.stat.SOCR.JRI.REXP
native type of the represented expression (see ...SXP constants in R).
run() - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method stops the step proceess, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method stops the step timer, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.BirthdayExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.CardExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.ChuckALuckExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.CoinDieExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.CoinSampleExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.CrapsExperiment
This method starts run mode, by first turning off the step timer if necessary.
run() - Method in class edu.uah.math.experiments.DiceExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.DiceSampleExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.DieCoinExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.Experiment
This method runs the experiment is repeatedly, and the update and stop counters incremented on each run.
run() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method stops the step timer, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method starts run mode, by first turning off the step timer if necessary.
run() - Method in class edu.uah.math.experiments.GammaExperiment
This method stops the step timer, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.MatchExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.MontyHallExperiment
This method starts run mode, by first turning off the step timer if necessary.
run() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method stops the step timer, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.PointExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.PoissonExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.PokerExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method stops the step process if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.RouletteExperiment
This method starts run mode, by first turning off the step timer if necessary.
run() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.uah.math.experiments.SpinnerExperiment
This method puts the simulation in run mode, by first stoping the step timer, and then doing the usual run procedure.
run() - Method in class edu.uah.math.experiments.UrnExperiment
This method stops the step process, if necessary, and then calls the usual run method.
run() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method runs the analysis thread
run() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method runs the analysis thread
run() - Method in class edu.ucla.stat.SOCR.chart.Chart
This method runs the chart thread
run() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
run() - Method in class edu.ucla.stat.SOCR.core.Experiment
This method runs the simulation thread
run() - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
run() - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
run() - Method in class edu.ucla.stat.SOCR.util.SortItem
Run the sorting algorithm.
run() - Method in class edu.ucla.stat.SOCR.util.Spinner
 
runExample(String) - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
runXML(Document) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
runXMLFile(String) - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
rWriteConsole(Rengine, String) - Method in interface edu.ucla.stat.SOCR.JRI.RMainLoopCallbacks
 
RXP - Class in edu.ucla.stat.SOCR.JRI
 
RXP(Rengine, long) - Constructor for class edu.ucla.stat.SOCR.JRI.RXP
 

S

S_SQUARED - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
safeLock() - Method in class edu.ucla.stat.SOCR.JRI.Mutex
Locks the mutex.
safeLockWithTimeout(long) - Method in class edu.ucla.stat.SOCR.JRI.Mutex
Locks the mutex.
sample(int, int) - Method in class edu.uah.math.devices.Urn
This method treats the balls as a sample from a population of a specified size.
sample() - Method in class edu.uah.math.distributions.RandomVariable
This method simulates a value of the probability distribution and assigns the value to the data distribution.
sample() - Method in class edu.ucla.stat.SOCR.distributions.RandomVariable
Simulate a value of the probability distribution and assign the value to the data distribution
sample(int[], int, int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
sample(int, int, int) - Method in class edu.ucla.stat.SOCR.util.Urn
This method draws a sample of size n from the population of size N (numbered from 1 to N).
sample1(int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
sample1NoAnimation(int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
SAMPLE_DATA - Static variable in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
SAMPLE_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
the mean of a sample.
SAMPLE_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
SAMPLE_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
SAMPLE_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
the mean of a sample.
SAMPLE_MEAN_INPUT - Static variable in class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
SAMPLE_MEAN_INPUT - Static variable in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
SAMPLE_NAMES - Static variable in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
SAMPLE_PROPORTION - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
SAMPLE_PROPORTION_P - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
SAMPLE_PROPORTION_Q - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
SAMPLE_SD_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
SAMPLE_SD_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
SAMPLE_SE_P - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
SAMPLE_SE_Q - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
SAMPLE_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
SAMPLE_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
SAMPLE_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
SAMPLE_SIZES - Static variable in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
SAMPLE_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
the variance of a sample.
SAMPLE_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.OneTResult
 
SAMPLE_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.PearsonChiSquareResult
 
SAMPLE_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
the variance of a sample.
SAMPLE_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
SAMPLE_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
SAMPLE_VAR_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
SAMPLE_VAR_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
sampleCorrelation(double[], double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
sampleCount - Static variable in class edu.ucla.stat.SOCR.games.FourierGame
 
sampleCount - Static variable in class edu.ucla.stat.SOCR.games.WaveletGame
 
sampleCount - Variable in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
sampleCount - Static variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
sampleCovariance(double[], double[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.Regression
 
sampleCovariance(double[], double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
sampleData() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
sampleMean(double[]) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
SampleMeanExperiment - Class in edu.uah.math.experiments
This class models the sample mean experiment.
SampleMeanExperiment() - Constructor for class edu.uah.math.experiments.SampleMeanExperiment
 
SampleMeanExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the sample mean experiment.
SampleMeanExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.SampleMeanExperiment
This method initializes the experiment.
samplePanel - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
sampler - Class in edu.ucla.stat.SOCR.core
 
sampler(SOCRJTable, URL) - Constructor for class edu.ucla.stat.SOCR.core.sampler
 
sampleSize - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
sampleSize - Variable in class edu.ucla.stat.SOCR.util.NormalCurve
 
sampleSize - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
sampleSize2 - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
sampleSizeText - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
sampleSizeText - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
 
SampleTable - Class in edu.uah.math.devices
This class simple table for displaying the values from a statistical sample.
SampleTable(String) - Constructor for class edu.uah.math.devices.SampleTable
This general constructor creates a new sample table corresponding to a variable with a specified name.
SampleTable() - Constructor for class edu.uah.math.devices.SampleTable
This default constructor create s new sample table with variable name x.
sampleTitleButton - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
sampleVar(double[], double) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
sampleVariance(double[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.Regression
 
sampleVariance(double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
SampleXYDataset - Class in edu.ucla.stat.SOCR.chart.data
A dummy dataset for an XY plot.
SampleXYDataset() - Constructor for class edu.ucla.stat.SOCR.chart.data.SampleXYDataset
Default constructor.
SampleXYDataset2 - Class in edu.ucla.stat.SOCR.chart.data
Random data for a scatter plot demo.
SampleXYDataset2() - Constructor for class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Creates a sample dataset using default settings (4 series, 100 data items per series, random data in the range 0 - 200).
SampleXYDataset2(int, int) - Constructor for class edu.ucla.stat.SOCR.chart.data.SampleXYDataset2
Creates a sample dataset.
SampleXYZDataset - Class in edu.ucla.stat.SOCR.chart.data
A quick-and-dirty implementation of the interface.
SampleXYZDataset() - Constructor for class edu.ucla.stat.SOCR.chart.data.SampleXYZDataset
 
SamplingDistributionExperiment - Class in edu.uah.math.experiments
A Sampling Distribution and CLT Experiment
SamplingDistributionExperiment() - Constructor for class edu.uah.math.experiments.SamplingDistributionExperiment
 
samplingExperimentAnimateSample2 - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
samplingExperimentAnimateSample3 - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
samplingExperimentAnimateSample4 - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
SamplingExperimentHistogram - Class in edu.ucla.stat.SOCR.util
 
SamplingExperimentHistogram(String, float[], int[], int, boolean[], boolean, int, int, int, boolean, boolean, int, Color[]) - Constructor for class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
SamplingExperimentHistogram(float[], int[], int) - Constructor for class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
SamplingExperimentMainFrame - Class in edu.ucla.stat.SOCR.util
 
SamplingExperimentMainFrame(Experiment) - Constructor for class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
SamplingExperimentMainFrame() - Constructor for class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
save2ndGaussianPolygon(double, double, double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
save2ndGaussianPolygon(double, double, double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
scale - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
scaleHeight(double) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
scaleHeight(double) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
scaleParamField - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
scaleParamField - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
scaleParamField - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
scaleParamField - Variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
scaleParamField - Variable in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
scaleParamField - Variable in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
scaleParamField - Variable in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
scaleParamField - Variable in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
scaleParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
scaleParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
scaleParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
scaleParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
scaleParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
scaleParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
scaleParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
scaleParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
scaleProportionData(double) - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
scaleProportionData(double) - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
scaleUp - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
ScatterChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
ScatterChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.ScatterChartDemo1
 
ScatterPlot - Class in edu.uah.math.devices
This class defines a basic two-dimensional scatterplot that can be sub-classed.
ScatterPlot(Domain, String, Domain, String) - Constructor for class edu.uah.math.devices.ScatterPlot
This general constructor creates a new scatterplot with specified domains and names.
ScatterPlot(Domain, Domain) - Constructor for class edu.uah.math.devices.ScatterPlot
This special constructor creates a new scatterplot with specified domains and default names "x" and "y".
ScatterPlot(Domain, String, String) - Constructor for class edu.uah.math.devices.ScatterPlot
This special constructor creates a new scatterplot with a specified common x and y domain and specified names.
ScatterPlot(Domain) - Constructor for class edu.uah.math.devices.ScatterPlot
This special constructor creates a new scatterplot with a specified common domain and default names "x" and "y".
ScatterPlot() - Constructor for class edu.uah.math.devices.ScatterPlot
This default constructor creates a new scatterplot with common domain [0, 1] and default names "x" and "y"
ScatterPlot - Class in edu.ucla.stat.SOCR.util
This class defines a basic two-dimensional scatterplot that can be sub-classed.
ScatterPlot(double, double, double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.ScatterPlot
This general constructor creates a new scatterplot on the rectangle [x0, x1] x [y0, y1] with specified step sizes
ScatterPlot(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.ScatterPlot
This special constructor creates a new scatterplot corresponding to the specified intervals, each divided into 10 subintervals
SCATTERPLOT_CHART - Static variable in class edu.ucla.stat.SOCR.chart.ChartType
 
ScatterPlotRange - Class in edu.ucla.stat.SOCR.analyses.gui
 
ScatterPlotRange(double, double) - Constructor for class edu.ucla.stat.SOCR.analyses.gui.ScatterPlotRange
 
ScatterPlotRange(String) - Constructor for class edu.ucla.stat.SOCR.analyses.gui.ScatterPlotRange
 
SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
screenSize - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
SD_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
SD_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
SD_PREDICT - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
SD_PREDICTED - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
SD_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
SD_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The SD of The independent varialbe's data.
SD_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The SD of The dependent varialbe's data.
SDParamField - Variable in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
SDParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
SEARCH - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
SEARCH - Static variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
searchTerm - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
secant(double) - Method in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
Computes the secant function http://en.wikipedia.org/wiki/Trigonometric_function
sech(double) - Method in class edu.ucla.stat.SOCR.distributions.HyperbolicSecantDistribution
This method defines the hyperbolic-secant function http://en.wikipedia.org/wiki/Hyperbolic_function
SECOND_BUTTON_LABEL - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
secondSampleSizeJComboBox - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
secondSamplingDistJComboBox - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
secondToolbar - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
secondToolbar - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
SELECT - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
selectBalls() - Method in class edu.uah.math.experiments.BirthdayExperiment
This method selects the sample of balls and determines the number of distinct sample values and whether a match has occurred.
selectDoors() - Method in class edu.uah.math.experiments.MontyHallExperiment
This method selects the doors.
selectedInd - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
selectedInd - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
selectedInd - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
selectmix - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
selectPanel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
selectPanel - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
selectSpeed - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
selfRef - Static variable in class edu.ucla.stat.SOCR.distributome.EditorApplet
 
selfRef - Static variable in class edu.ucla.stat.SOCR.distributome.gui.LoadAndShowFormula
 
selfRef - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
SERIES_COUNT - Variable in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
SERIES_COUNT - Variable in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
SERIES_COUNT - Variable in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
ServerObject - Class in edu.ucla.stat.SOCR.servlet.util
 
ServerObject(Key, String) - Constructor for class edu.ucla.stat.SOCR.servlet.util.ServerObject
 
ServletCaller - Class in edu.ucla.stat.SOCR.analyses.gui
 
ServletCaller() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.ServletCaller
 
ServletCaller - Class in edu.ucla.stat.SOCR.analyses.jri.gui
 
ServletCaller() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.gui.ServletCaller
 
ServletCaller - Class in edu.ucla.stat.SOCR.analyses.ri
 
ServletCaller() - Constructor for class edu.ucla.stat.SOCR.analyses.ri.ServletCaller
 
ServletCaller - Class in edu.ucla.stat.SOCR.analyses.server
 
ServletCaller() - Constructor for class edu.ucla.stat.SOCR.analyses.server.ServletCaller
 
ServletConstant - Class in edu.ucla.stat.SOCR.analyses.jri.gui
 
ServletConstant() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.gui.ServletConstant
 
ServletConstant - Class in edu.ucla.stat.SOCR.analyses.ri
 
ServletConstant() - Constructor for class edu.ucla.stat.SOCR.analyses.ri.ServletConstant
 
ServletConstant - Class in edu.ucla.stat.SOCR.analyses.server
 
ServletConstant() - Constructor for class edu.ucla.stat.SOCR.analyses.server.ServletConstant
 
set_binSize(double) - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
setAll(double, double, double) - Method in class edu.ucla.stat.SOCR.util.FloatSlider
 
setAll(double, double, double) - Method in class edu.ucla.stat.SOCR.util.FloatTextField
 
setAllValues(int[]) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method resets the balot graph.
setAlpha(byte) - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
set transparency.
setAlpha(byte) - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Set the alpha value of this map
setAlpha(double) - Method in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
setAlpha(double) - Method in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
setAlpha(double) - Method in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
setAlpha(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Set alpha parameter
setAnalysis(Analysis) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnalysisPanel
 
setAnalysis(Analysis) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.AnalysisPanel
 
setAngle(double) - Method in class edu.uah.math.devices.BertrandFloor
This method sets the angle parameter to a specified value.
setAngle() - Method in class edu.uah.math.devices.BertrandFloor
This method sets the angle to a random value.
setAngle(double) - Method in class edu.uah.math.devices.NeedleFloor
This method sets the angle value of the needle.
setAngle(double) - Method in class edu.uah.math.devices.Spinner
This method sets a specific angle measure and computes the value of the spin corresponding to that angle.
setAngle(double) - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method sets the angle parameter to a specified value
setAngle() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method sets the angle to a random value
setAngle(double) - Method in class edu.ucla.stat.SOCR.util.Spinner
This method sets a specific angle measure and computes the value of the spin corresponding to that angle.
setApplet(JApplet) - Method in class edu.uah.math.experiments.Experiment
 
setApplet(JApplet) - Method in class edu.uah.math.games.Game
 
setApplet(JApplet) - Method in class edu.ucla.stat.SOCR.applications.Application
 
setApplet(JApplet) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setApplet(JApplet) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
setApplet(JApplet) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
setApplet(JApplet) - Method in interface edu.ucla.stat.SOCR.core.Pluginable
 
setAppletInfo(String) - Method in class edu.ucla.stat.SOCR.core.Game
This method returns basic information about the applet, including copyright information, descriptive information, and instructions.
setArrayFromTable() - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
setArrayFromTable() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setAscending(boolean) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedColumnInfo
Specifies column sort order.
setAttribute(String, String) - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Sets the value of the attribute.
setAuthor(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
setAxisColor(Color) - Method in class edu.uah.math.devices.Timeline
This method specifies the axis color.
setAxisType(int) - Method in class edu.ucla.stat.SOCR.util.DataGraph
This method sets the axis type.
setAxisType(int) - Method in class edu.ucla.stat.SOCR.util.Histogram
This method sets the axis type.
setAxisType(int) - Method in class edu.ucla.stat.SOCR.util.varHistogram
This method sets the axis type.
setBackColor(Color) - Method in class edu.uah.math.devices.DiceBoard
This method sets the back color for all of the dice.
setBackColor(Color) - Method in class edu.uah.math.devices.Die
This method sets the back color.
setBackColor(Color) - Method in class edu.ucla.stat.SOCR.util.Die
This method sets the back color
setBackgroundColor(Color) - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Specifies background color of the text that holds by this wrapper.
setBallColor(Color) - Method in class edu.uah.math.devices.Ball
This method sets the color of the ball.
setBallColor(Color) - Method in class edu.uah.math.devices.CellGrid
This method sets the ball color.
setBallColor(Color) - Method in class edu.uah.math.devices.GaltonBoard
This method sets the ball color.
setBallColor(Color) - Method in class edu.uah.math.devices.RouletteWheel
This method sets the ball color.
setBallColor(Color) - Method in class edu.uah.math.devices.Urn
This method sets the ballcolor of all of the balls.
setBallCount(int) - Method in class edu.uah.math.devices.Urn
This method sets the number of balls.
setBallCount(int) - Method in class edu.uah.math.devices.UrnChain
This method sets up the Markov chain as an array of ball objects.
setBallDrawn(boolean) - Method in class edu.uah.math.devices.RouletteWheel
This method sets the boolean state of the ball.
setBarWidth(double) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setBeta(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Set beta parameter
setBeta(double) - Method in class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
Sets the left parameter
setBeta(double) - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
Sets the beta parameter
setBins(int) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
setBins(int) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setBounds(int, int, int, int) - Method in class edu.ucla.stat.SOCR.gui.GraphBase
 
setBoxColor(Color) - Method in class edu.uah.math.devices.ScatterPlot
This method sets the box color.
setBoxPlotColor(Color) - Method in class edu.uah.math.devices.Histogram
This method sets the boxplot color.
setBurntColor(Color) - Method in class edu.uah.math.devices.Forest
This method sets the color of the burnt trees.
setByteOrder(MemoryCacheImageInputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.SplitMaskPositiveNegativeAnalysisResults
This method sets the Bite-Order for a MemoryCacheImageInputStream
setByteOrder(MemoryCacheImageOutputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.SplitMaskPositiveNegativeAnalysisResults
This method sets the Bite-Order for a MemoryCacheImageOutputStream
setByteOrder(MemoryCacheImageInputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
This method sets the Bite-Order for a MemoryCacheImageInputStream
setByteOrder(MemoryCacheImageOutputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
This method sets the Bite-Order for a MemoryCacheImageOutputStream
setByteOrder(MemoryCacheImageInputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
This method sets the Bite-Order for a MemoryCacheImageInputStream
setByteOrder(MemoryCacheImageOutputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
This method sets the Bite-Order for a MemoryCacheImageOutputStream
setByteOrder(MemoryCacheImageInputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
This method sets the Bite-Order for a MemoryCacheImageInputStream
setByteOrder(MemoryCacheImageOutputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
This method sets the Bite-Order for a MemoryCacheImageOutputStream
setByteOrder(MemoryCacheImageInputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
This method sets the Bite-Order for a MemoryCacheImageInputStream
setByteOrder(MemoryCacheImageOutputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
This method sets the Bite-Order for a MemoryCacheImageOutputStream
setByteOrder(MemoryCacheImageInputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
This method sets the Bite-Order for a MemoryCacheImageInputStream
setByteOrder(MemoryCacheImageOutputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
This method sets the Bite-Order for a MemoryCacheImageOutputStream
setByteOrder(MemoryCacheImageInputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
This method sets the Bite-Order for a MemoryCacheImageInputStream
setByteOrder(MemoryCacheImageOutputStream, String) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
This method sets the Bite-Order for a MemoryCacheImageOutputStream
setCardCount(int) - Method in class edu.uah.math.devices.CardHand
This method sets the number of cards.
setCardNumber(int) - Method in class edu.uah.math.devices.Card
This method sets the card to a value, as specified by a number from 0 to 51.
setCardNumbers(int[]) - Method in class edu.uah.math.devices.CardHand
This method sets the array of card numbers.
setCardNumbers(int, int) - Method in class edu.uah.math.devices.CardHand
This method sets the card number of an individual card.
setCategoryMapping(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
setCategorySummary(CategoryDataset) - Method in class edu.ucla.stat.SOCR.chart.Chart
setting the summary for each type of Dataset
setCategorySummary(PieDataset) - Method in class edu.ucla.stat.SOCR.chart.Chart
setting the summary for each type of Dataset
setCDFValue(double, double) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
setCDFValue(double, double) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
setCDFValue(double, double) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
setCDFValue(double, double) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
setCellCount(int[]) - Method in class edu.uah.math.devices.CellGrid
This method sets the counts for all of the cells.
setCellCount(int, int) - Method in class edu.uah.math.devices.CellGrid
This method sets the count for an individual cell.
setCellCount(int[]) - Method in class edu.ucla.stat.SOCR.util.CellGrid
This method sets the counts for the cells
setCellEditor(TableCellEditor) - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
setCellId(int) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setCells(int) - Method in class edu.uah.math.devices.CellGrid
This mtheod sets the number of cells.
setCells(int) - Method in class edu.ucla.stat.SOCR.util.CellGrid
This mtheod sets the number of cells
setCellsEditable(boolean) - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTable
Sets whether the table allows the user to edit cells.
setCellsEditable(boolean) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
setCensorNotations(String, String) - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalObject
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setChart(Chart) - Method in class edu.ucla.stat.SOCR.chart.ChartPanel
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
setChart(boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
setChart() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
setChartSize(int, int) - Method in class edu.ucla.stat.SOCR.chart.ChartGenerator_JTable
 
setChoice(String) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setChordColor(Color) - Method in class edu.uah.math.devices.BertrandFloor
This method sets the color for the chord.
setChordDrawn(boolean) - Method in class edu.uah.math.devices.BertrandFloor
This method sets the chord drawn state.
setCIMeanValue(double) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
setCIMeanValue(double) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
setCIMeanValue(double) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
setCIMeanValue(double) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
setCircleColor(Color) - Method in class edu.uah.math.devices.BertrandFloor
This method sets the color for the circle.
setCIVarValue(double) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
setCIVarValue(double) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
setCIVarValue(double) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
setCIVarValue(double) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
setClickable(boolean) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setCodeBase(URL) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
setCodeBase(URL) - Static method in class edu.ucla.stat.SOCR.core.SOCRCodeBase
 
setCodeBase(URL) - Method in class edu.ucla.stat.SOCR.distributome.editor.DistributomeEditor
 
setCoinColor(Color) - Method in class edu.uah.math.devices.CoinFloor
This method sets the coin color.
setCoinCount(int) - Method in class edu.uah.math.devices.CoinBox
This method sets the number of coins.
setCoinDropped(boolean) - Method in class edu.uah.math.devices.CoinFloor
This method sets a boolean condition for dropping the coin.
setColor(Paint[], int) - Method in class edu.ucla.stat.SOCR.chart.gui.CustomJTable
 
setColor(Color) - Method in class edu.ucla.stat.SOCR.util.Ball
This method sets the color of the ball.
setColor(Color) - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Specifies color of the text that holds by this wrapper.
setColorMapName(String) - Method in class edu.ucla.loni.LOVE.colormap.ActiveBar
 
setColorMapName(Object) - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Set which colormap to use.
setColorMapping(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
setColors(Color, Color) - Method in class edu.uah.math.devices.Ball
This method sets the colors of the ball and text.
setColors(Color, Color, Color) - Method in class edu.uah.math.devices.Coin
This method sets the colors.
setColors(Color, Color, Color) - Method in class edu.uah.math.devices.CoinBox
This method sets the colors for all of the coins.
setColors(Color, Color) - Method in class edu.uah.math.devices.DiceBoard
This method sets the colors of all of the dice.
setColors(Color, Color) - Method in class edu.uah.math.devices.Die
This method sets the colors.
setColors(Color, Color) - Method in class edu.uah.math.devices.GaltonBoard
This method sets the colors.
setColors(Color[]) - Method in class edu.uah.math.devices.Spinner
This method sets the array of colors.
setColors(int, Color) - Method in class edu.uah.math.devices.Spinner
This method sets an individual color.
setColors(Color[]) - Method in class edu.uah.math.devices.Voters
This method sets the array of color (states).
setColors(Color, Color) - Method in class edu.ucla.stat.SOCR.util.Coin
This method sets the colors
setColors(Color, Color) - Method in class edu.ucla.stat.SOCR.util.CoinBox
This method sets the colors for all of the coins.
setColors(Color, Color) - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method sets the colors of all of the dice.
setColors(Color, Color) - Method in class edu.ucla.stat.SOCR.util.Die
This method sets the colors
setColumnClasses() - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
setColumnIndex(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedColumnInfo
Specifies model column index.
setColumnNames() - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
setColumnParseString(String, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
setColumns(int) - Method in class edu.uah.math.devices.Forest
This method sets the number of columns in the forest lattice.
setColumns(int) - Method in class edu.uah.math.devices.Voters
This method sets the number of columns.
setColumns() - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
setConstraints() - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
setCoordinates() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This emthod computes the x and y coordinates of the chord, from the distance and angle parameters
setCount(int) - Method in class edu.uah.math.devices.QuantileTable
This method sets the probabilities to be uniform probabilities corresponding to a given number.
setCount(int) - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
setCount(int) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
setCountColor(Color) - Method in class edu.uah.math.devices.CellGrid
This method sets the count color.
setCriticalValues(double, double) - Method in class edu.uah.math.devices.CriticalGraph
This method sets the critical values.
setCriticalValues() - Method in class edu.uah.math.experiments.SignTestExperiment
This method computes the lower and upper critical values, updates the label for the critical values, and updates the sign graph.
setCriticalValues() - Method in class edu.ucla.stat.SOCR.experiments.SignTestExperiment
 
setCriticalValues(double, double) - Method in class edu.ucla.stat.SOCR.util.CriticalGraph
This method sets the critical values.
setCurrent(int) - Method in class edu.uah.math.devices.RedBlackGraph
This method sets the current fortune.
setCurrent(int) - Method in class edu.ucla.stat.SOCR.util.RedBlackGraph
This method sets the current fortune.
setCurrentCell(int) - Method in class edu.uah.math.devices.CellGrid
This method sets the currently selected cell
setCurrentPoint(SOCRPoint2D, int) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
setCurrentTime(double) - Method in class edu.uah.math.devices.Timeline
This method sets the current time.
setCurrentTimeColor(Color) - Method in class edu.uah.math.devices.Timeline
This method sets the color used for the current time tick mark.
setCutOffValue(double, double) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
setCutOffValue(double, double) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
setCutOffValue(Double, Double) - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
setCutOffValue(double, double) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
setCutOffValue(double, double) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
setCutOffValue(Double, Double) - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
setCutPoints(double, double) - Method in class edu.uah.math.devices.Stick
This method sets the cutpoints to specified values.
setCutPoints() - Method in class edu.uah.math.devices.Stick
This method sets the cutpoints to random values in (0, 1).
setCutPoints(double, double) - Method in class edu.ucla.stat.SOCR.util.Triangle
This method sets the cutpoints to specified values.
setCutPoints() - Method in class edu.ucla.stat.SOCR.util.Triangle
This method sets the cutpoints to random values in (0, 1)
setCutX(double) - Method in class edu.uah.math.devices.Stick
This method sets the first cut point.
setCutY(double) - Method in class edu.uah.math.devices.Stick
This method sets the second cut point.
setData(IntervalData) - Method in class edu.uah.math.devices.DataTable
This method sets the interval data set.
setData(IntervalData) - Method in class edu.uah.math.devices.ErrorGraph
This method sets the interval data set.
setData(double[]) - Method in class edu.uah.math.devices.SampleTable
This method sets the data.
setData(int[]) - Method in class edu.uah.math.devices.SampleTable
 
setData(JTable) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
setData(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
setData(IntervalData) - Method in class edu.ucla.stat.SOCR.util.DataTable
This method sets the data set
setData(IntervalData) - Method in class edu.ucla.stat.SOCR.util.ErrorGraph
This method sets the data set.
setData(float[]) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setData(int[], int, boolean, double, double) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setDataColor(Color) - Method in class edu.uah.math.devices.RandomVariableGraph
This method sets the color for the data graph elements.
setDataName(String) - Method in class edu.uah.math.devices.StatisticsTable
This method sets the column name for the data column.
setDataPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
setDataPanel() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo5
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo2
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperNormalDistributionChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_Time
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
setDataTable(String) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
setDataValues(double[]) - Method in class edu.uah.math.devices.StatisticsTable
This method sets the data values.
setDbName(String) - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
setDDegrees(int) - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method sets the denominator degrees of freedom
setDecimalFormat(DecimalFormat) - Method in class edu.uah.math.experiments.Experiment
This methd sets the decimal format, so that the properties of the decimal format can then be changed.
setDecimalFormat(DecimalFormat) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method sets the decimal format, so that the properties of the decimal format can then be changed
setDecimalFormat(DecimalFormat) - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
 
setDecimalFormat(DecimalFormat) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method sets the decimal format, so that the properties of the decimal format can then be changed
setDecimalFormat(DecimalFormat) - Method in class edu.ucla.stat.SOCR.analyses.result.AnalysisResult
 
setDecimalFormat(DecimalFormat) - Method in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
setDecimalFormat(DecimalFormat) - Method in class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
 
setDecimalFormat(DecimalFormat) - Method in class edu.ucla.stat.SOCR.util.RandomVariableTable
This method sets the decimal format
setDecimals(int) - Method in class edu.ucla.stat.SOCR.util.RandomVariableTable
This method sets the maximum number of decimals to display in the formatting
setDefaultColor(Color) - Method in class edu.uah.math.devices.UrnChain
This method sets the default color, the color of all states except the current state.
setDefaultColors() - Method in class edu.uah.math.devices.Spinner
This method defines the default color array.
setDefaultColumnNames() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
setDefaultRowNames() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
setDefaultSelectedDistribution(String) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
setDegrees(int) - Method in class edu.uah.math.distributions.CauchyDistribution
This method sets the degrees of freedom which is fixed at 1.
setDegrees(int) - Method in class edu.uah.math.distributions.ChiSquareDistribution
This method sets the degrees of freedom parameter and computes the defaut domain.
setDegrees(int) - Method in class edu.uah.math.distributions.StudentDistribution
This method sets the degrees of freedom.
setDegrees(int) - Method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
This method sets the degrees parameter
setDegrees(int) - Method in class edu.ucla.stat.SOCR.distributions.CauchyDistribution
This method sets the degrees of freedom to 1.
setDegrees(int) - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
This method sets the degrees of freedom
setDegrees(int) - Method in class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
This method sets the degrees of freedom
setDegrees(int) - Method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
This method sets the degrees parameter
setDegrees(int) - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
This method sets the degrees of freedom
setDelta(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
This method sets Kurtosis
setDelta(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method sets Kurtosis
setDenominatorDegrees(int) - Method in class edu.uah.math.distributions.FisherDistribution
This method sets the denominator degrees of freedom.
setDescription(String) - Method in class edu.uah.math.devices.RecordTable
This method sets tool tip for the table.
setDescription(String) - Method in class edu.uah.math.devices.SampleTable
This method sets tool tip for the table.
setDescription(String) - Method in class edu.uah.math.devices.StatisticsTable
This method sets tool tip for the table.
setDescription(String) - Method in class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Sets the human readable description of this filter.
setDiceBoardLayout() - Method in class edu.ucla.stat.SOCR.util.DiceBoard
Sets the default DiceBoard Layout Manager
setDieCount(int) - Method in class edu.uah.math.devices.DiceBoard
This method sets the number of dice.
setDifferences(int, float) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method sets the 2|H-T|/Total difference at a specified time index.
setDist() - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
setDistance(double) - Method in class edu.uah.math.devices.BertrandFloor
This method sets the distance parameter to a specified value.
setDistance() - Method in class edu.uah.math.devices.BertrandFloor
This method sets the distance parameter to a random value.
setDistance(double) - Method in class edu.uah.math.devices.NeedleFloor
This method sets the distance value of the needle.
setDistance(double) - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method sets the distance parameter to a specified value
setDistance() - Method in class edu.ucla.stat.SOCR.util.BertrandFloor
This method sets the distance parameter to a random value
setDistinctValues(int) - Method in class edu.uah.math.distributions.CouponDistribution
This method sets the number of distinct values in the sample.
setDistinctValues(int) - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
Set the number of distinct values
setDistribution(Distribution) - Method in class edu.uah.math.devices.DistributionGraph
This method specifies the distribution and sets up graph paramters.
setDistribution(Distribution) - Method in class edu.uah.math.devices.QuantileTable
This method sets the distribution.
setDistribution(Distribution) - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method sets the distribution for the number of trials.
setDistribution(Distribution) - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method sets the distribution.
setDistribution(Distribution) - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method sets the distribution to be moved and scaled.
setDistribution(Distribution) - Method in class edu.uah.math.distributions.OrderStatisticDistribution
This method sets the sampling distribution.
setDistribution(Distribution) - Method in class edu.uah.math.distributions.RandomVariable
This method assigns the probability distribution and create a corresponding interval data distribution.
setDistribution() - Method in class edu.uah.math.experiments.BallotExperiment
This method sets the parameters of the ballot graph and the distribution of the indicator random variable.
setDistribution() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method sets the appropriate distribution of the random variable.
setDistribution() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method sets the distributions of the random variables when the parameters change.
setDistribution() - Method in class edu.uah.math.experiments.CoinDieExperiment
This method sets the distribution of the die random variable.
setDistribution() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method sets the appropriate distribution of the random variable.
setDistribution() - Method in class edu.uah.math.experiments.DieCoinExperiment
This method updates the distribution of the number of heads when the parameters (the die distribution or the probability of heads changes).
setDistribution() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method sets the parameters of the distribution, when these have been changed with the scrollbars.
setDistribution() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method sets the parameters of the distributions, and is called when one of these parameters is changed with the scrollbar.
setDistribution() - Method in class edu.uah.math.experiments.GammaEstimateExperiment
This method sets the distribution when the parameters have been changed.
setDistribution() - Method in class edu.uah.math.experiments.GammaExperiment
This method sets the distribution of the arrival time random variable after the parameters have been changed.
setDistribution() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method sets the appropriate distribution of the random variable.
setDistribution() - Method in class edu.uah.math.experiments.MeanEstimateExperiment
This method updates the sampling distribution when the parameters have changed.
setDistribution() - Method in class edu.uah.math.experiments.MeanTestExperiment
This method sets the distribution of the sampling variable when the parameters of the distribution have changed.
setDistribution() - Method in class edu.uah.math.experiments.MontyHallExperiment
This method sets the parameters of the win distribution, when the parameters of the experiment have changed.
setDistribution() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method sets the parameters of the distribution, when these have been changed with the scrollbars.
setDistribution() - Method in class edu.uah.math.experiments.NormalEstimateExperiment
This method sets the sampling normal distribution after the parameters have been changed.
setDistribution() - Method in class edu.uah.math.experiments.Poisson2DExperiment
This method sets the Poisson distribution when the parameters have changed.
setDistribution() - Method in class edu.uah.math.experiments.PoissonExperiment
This method sets the Poisson distribution, when the parameters have changed.
setDistribution() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method sets the parameters of the distribution when the parameters of the experiment have changed.
setDistribution() - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
This method sets the sampling distribution when the parameters have changed.
setDistribution() - Method in class edu.uah.math.experiments.QuantileApplet
This method sets the distribution when the parameters change.
setDistribution() - Method in class edu.uah.math.experiments.RandomVariableExperiment
This method sets the distribution, after the selected distribution or the parameters of the distribution have changed.
setDistribution() - Method in class edu.uah.math.experiments.RouletteExperiment
This method sets the distribution of the win random variable.
setDistribution() - Method in class edu.uah.math.experiments.SignTestExperiment
This method sets the distribution when the parameters have changed.
setDistribution() - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
This method sets the scrollbars to the appropriate ranges when the distribution type changes.
setDistribution() - Method in class edu.uah.math.experiments.VarianceTestExperiment
This method sets up the scroll bars and graphs when the type of distribution changes.
setDistribution(Distribution) - Method in class edu.ucla.stat.SOCR.core.DistributionGraphPanel
 
setDistribution(Distribution) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
setDistribution(Distribution) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
setDistribution(Distribution) - Method in class edu.ucla.stat.SOCR.core.MGFGraphPanel
 
setDistribution(Distribution) - Method in class edu.ucla.stat.SOCR.core.PGFGraphPanel
 
setDistribution(Distribution) - Method in class edu.ucla.stat.SOCR.distributions.Convolution
This method sets the distribution.
setDistribution(Distribution) - Method in class edu.ucla.stat.SOCR.distributions.RandomVariable
Assign the probability distribution and create a corresponding data distribution
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.BallotExperiment
This method sets the parameters of the ballot graph and the distribution of the indicator random variable.
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.BinomialCoinExperiment
 
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.BinomialTimelineExperiment
 
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.CoinDieExperiment
 
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.DieCoinExperiment
 
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.GaltonBoardExperiment
This method sets the parameters of the distributions
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.GammaEstimateExperiment
 
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.GammaExperiment
This method sets the parameters of the distribution
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
This method sets the distribution.
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
This method sets the distribution.
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.MontyHallExperiment
This method sets the parameters of the win distribution, when the parameters of the experiment have changed.
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.NegativeBinomialExperiment
This method sets the parameters of the distribution, when these have been changed with the scrollbars.
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.NormalEstimateExperiment
 
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.Poisson2DExperiment
This method sets the distribution have the parameters have changed.
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.PoissonExperiment
This method sets the parameters of the distribution, when the parameters have changed
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.PoissonSplitExperiment
This method sets the parameters of the distribution when the parameters of the experiment have changed
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.ProbabilityPlotExperiment
This method sets the sampling distribution.
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.RandomVariableExperiment
This method sets the distribution, after the selected distribution or the parameters of the distribution have changed
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.SignTestExperiment
This method sets the distribution when the parameters have changed.
setDistribution(Distribution) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
setDistribution(Distribution) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
This method sets the scrollbars to the appropriate ranges when the distribution type changes.
setDistribution() - Method in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
This method sets up the scroll bars and graphs when the type of distribution changes.
setDistribution(Distribution) - Method in class edu.ucla.stat.SOCR.util.QuantileGraph
This method sets the distribution.
setDistributionColor(Color) - Method in class edu.uah.math.devices.DistributionGraph
This method specifies the graph color.
setDistributionName(String) - Method in class edu.uah.math.devices.StatisticsTable
This method sets the column name for the distirbution column.
setDistributionName(String) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
setDistributionObj(SOCRDistributions) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
setDistributions(Distribution[]) - Method in class edu.uah.math.distributions.MixtureDistribution
This method sets the distributions.
setDistributions(int, Distribution) - Method in class edu.uah.math.distributions.MixtureDistribution
This method sets a particular distribution.
setDistributions() - Method in class edu.uah.math.experiments.DiceExperiment
This method sets the parameters of the distributions when the parameters have changed.
setDistributions() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This method sets the distribution after the parameters have changed.
setDistributions() - Method in class edu.uah.math.experiments.OrderStatisticExperiment
This method sets the distributions.
setDistributions() - Method in class edu.uah.math.experiments.SampleMeanExperiment
This method sets the distribution following changes in the parameters of the sampling distribution.
setDistributions(Distribution[]) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method sets the distributions.
setDistributions(int, Distribution) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method sets a particular distribution.
setDistributions() - Method in class edu.ucla.stat.SOCR.experiments.DiceExperiment
This method sets the parameters of the distributions when the parameters have changed
setDistributions() - Method in class edu.ucla.stat.SOCR.experiments.FiniteOrderStatisticExperiment
This method sets the distribution after the parameters have changed.
setDistributions() - Method in class edu.ucla.stat.SOCR.experiments.OrderStatisticExperiment
This method sets the distributions.
setDistributions() - Method in class edu.ucla.stat.SOCR.experiments.SampleMeanExperiment
This method sets the distribution following changes in the parameters of the sampling distribution.
setDistributionType(int) - Method in class edu.uah.math.devices.DataTable
This method sets the distribution type (0: frequency, 1: relative frequency, or 2: density).
setDistributionValues(double[]) - Method in class edu.uah.math.devices.StatisticsTable
This method sets the distribution values.
setDivisions(int) - Method in class edu.uah.math.devices.Spinner
This method sets the number of divisions.
setDivisions(int) - Method in class edu.ucla.stat.SOCR.util.Spinner
This method sets the number of divisions for a spinner and computes the step size (angle measure of each division)
setDomain(Domain) - Method in class edu.uah.math.devices.DistributionGraph
This method sets the domain for the horizontal axis.
setDomain(Domain) - Method in class edu.uah.math.devices.InteractiveHistogram
This method sets the domain.
setDomain(Domain) - Method in class edu.uah.math.devices.ScatterPlot
This method sets the common domain for x and y.
setDomain(Domain) - Method in class edu.uah.math.devices.Timeline
This method sets the domain.
setDomain(Domain) - Method in class edu.uah.math.distributions.Distribution
This method sets the domain of the distribution for purposes of data collection and for default computations.
setDomain(double, double, double, int) - Method in class edu.uah.math.distributions.Distribution
This method sets the domain of the distribution for purposes of data collection and for default computations.
setDomain(Domain) - Method in class edu.uah.math.distributions.IntervalData
This method sets the domain of the data set.
setDomain(Domain) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method sets the domain of the distribution for purposes of data collection and for default computations.
setDomain(double, double, double, int) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method sets the domain of the distribution for purposes of data collection and for default computations.
setDomain(Domain) - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method sets the domain of the data set.
setDomain(Domain) - Method in class edu.ucla.stat.SOCR.util.RandomVariableGraph
This method sets the domain for the horizontal axis.
setDomains(Domain, Domain) - Method in class edu.uah.math.devices.ScatterPlot
This method sets the domains.
setDoorColor(Color) - Method in class edu.uah.math.devices.Door
This method sets the door color.
setDrawn(boolean) - Method in class edu.uah.math.devices.Ball
This method sets the state of the ball.
setDrawn(boolean) - Method in class edu.uah.math.devices.Urn
This method sets the common state of all of the balls.
setDrawUserClicks(boolean) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setEdges(Edge[]) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
setEditingColumn(int) - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
setEditState(int) - Method in class edu.uah.math.devices.Forest
This method sets the tree edit state.
setEditState(int) - Method in class edu.uah.math.devices.Voters
This method sets the edit state, the state that a voter will be changed to when a user clicks on the voter.
setEditState(int) - Method in class edu.ucla.stat.SOCR.util.Forest
This method sets the tree edit state.
setEditState(int) - Method in class edu.ucla.stat.SOCR.util.Voters
This method sets the edit state, the state that a voter will be changed to when a user clicks on the voter.
setEffectiveFramesPerSecond(double) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
setEnabled(boolean) - Method in class edu.ucla.stat.SOCR.core.ValueSetter
 
setEnabled(boolean) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
Sets whether or not this component is enabled.
setEnabled(boolean) - Method in class edu.ucla.stat.SOCR.util.JTableRowHeaderResizer
 
setEnabled(boolean) - Method in class edu.ucla.stat.SOCR.util.ValueSlider
 
setEnabled(boolean) - Method in class edu.ucla.stat.SOCR.util.ValueSliderFloat
 
setEndsOnly(boolean) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setEquation(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Formula
 
setErrorType(int) - Method in class edu.uah.math.devices.ErrorGraph
This method sets the error type.
setErrorType(int) - Method in class edu.ucla.stat.SOCR.util.ErrorGraph
This method sets the error type.
setEstimate(double) - Method in class edu.uah.math.devices.EstimateGraph
This method sets the estimated value of the parameter.
setEstimate(double) - Method in class edu.ucla.stat.SOCR.util.EstimateGraph
This method sets the estimated value of the parameter
setEstimateColor(Color) - Method in class edu.uah.math.devices.EstimateGraph
This method sets the estimate color.
setEstimates(double, double) - Method in class edu.uah.math.devices.MeanEstimateGraph
This method sets the lower and upper bounds of the interval estimate.
setEstimates(double, double) - Method in class edu.uah.math.devices.VarianceEstimateGraph
This method sets the interval estimate of the standard deviaiton.
setEstimates(double, double) - Method in class edu.ucla.stat.SOCR.util.MeanEstimateGraph
This method sets the lower and upper bounds of the interval estimate.
setEstimates(double, double) - Method in class edu.ucla.stat.SOCR.util.VarianceEstimateGraph
This method sets the interval estimate.
setEventColor(Color) - Method in class edu.uah.math.devices.CoinScatter
This method sets the boundary color for the crack cross event.
setEventColor(Color) - Method in class edu.uah.math.devices.NeedleScatter
This method sets the event color.
setEventColor(Color) - Method in class edu.uah.math.devices.TriangleScatter
This method sets the color of the event borders.
setExpected(double[][]) - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
setExpectedProbabilities() - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
setExpectedProbabilities(double[], double[]) - Method in class edu.ucla.stat.SOCR.analyses.data.ContingencyTable
 
setExtensionListInDescription(boolean) - Method in class edu.ucla.stat.SOCR.distributome.editor.ExampleFileFilter
Determines whether the extension list (.jpg, .gif, etc) should show up in the human readable description.
setFaceUp(boolean) - Method in class edu.uah.math.devices.Card
This method specifies if the front or back of the card is shown.
setFaceUp(boolean) - Method in class edu.uah.math.devices.CardHand
This method shows the cards.
setFactorCounts() - Method in class edu.ucla.stat.SOCR.util.Anova
 
setFactors(double[]) - Method in class edu.ucla.stat.SOCR.util.factor
 
setFillArea(boolean) - Method in class edu.ucla.stat.SOCR.util.NormalCurve
 
setFire() - Method in class edu.uah.math.devices.Forest
This method sets the tree in the center of the forest on fire.
setFire() - Method in class edu.ucla.stat.SOCR.util.Forest
This method sets the tree in the center of the forest on fire.
setFixedRange(double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
setFlignerKilleenNormalQuantile(double) - Method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
setFloatMaximum(double) - Method in class edu.ucla.stat.SOCR.util.FloatSlider
 
setFloatMaximum(double) - Method in class edu.ucla.stat.SOCR.util.FloatTextField
 
setFloatMinimum(double) - Method in class edu.ucla.stat.SOCR.util.FloatSlider
 
setFloatMinimum(double) - Method in class edu.ucla.stat.SOCR.util.FloatTextField
 
setFloatValue(double) - Method in class edu.ucla.stat.SOCR.util.FloatSlider
 
setFloatValue(double) - Method in class edu.ucla.stat.SOCR.util.FloatTextField
 
setFmax(double) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setFont(Font) - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Specifies font of the text that holds by this wrapper.
setFormat(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
setFormula(String) - Method in class edu.ucla.stat.SOCR.distributome.gui.LoadAndShowFormula
 
setFormulaId(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setFormulaId(int) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setFormulaId(String) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setFormulaId(int) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setFramesPerSecond(double) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
setFreezedStatus(boolean) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
setFreezedStatus(boolean) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
destroy panel
setFunctionType(int) - Method in class edu.uah.math.devices.DistributionGraph
This method sets the type of function that is drawn.
setGamma(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
This method sets skewness
setGamma(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method sets skewness
setGamma(double) - Method in class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
Sets the right parameter
setGap(int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setGrandMean() - Method in class edu.ucla.stat.SOCR.util.Anova
 
setGraphColor(Color) - Method in class edu.uah.math.devices.BallotGraph
This method sets the color for the graph of the random walk (the winners lead as a function of the number of votes counted).
setGraphColor(Color) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method sets the color for the graph of the random walk.
setGraphColor(Color) - Method in class edu.uah.math.devices.ErrorGraph
This method sets the graph color.
setGraphColor(Color) - Method in class edu.uah.math.devices.RandomWalkGraph
This method sets the graph color.
setGraphLeft(double) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setGraphPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
setGraphPanel() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
setGraphPanel() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setGraphPanel() - Method in class edu.ucla.stat.SOCR.chart.demo.AreaChartDemo1
 
setGraphPanel() - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
 
setGraphPanel() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
setGraphPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
setGraphPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
setGraphRight(double) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setGridColor(Color) - Method in class edu.uah.math.devices.CellGrid
This method sets the grid color.
setHeadColor(Color) - Method in class edu.uah.math.devices.Coin
This method sets the head color.
setHeadColor(Color) - Method in class edu.uah.math.devices.CoinBox
This method sets the head color for all of the coins.
setHeadColor(Color) - Method in class edu.ucla.stat.SOCR.util.Coin
This method sets the head color
setHeaderEditable(boolean) - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTableColumn
 
setHeaderEditor(TableCellEditor) - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTableColumn
 
setHeadersEditable(boolean) - Method in class edu.ucla.stat.SOCR.util.EditableHeaderTable
Sets whether the table allows the user to edit the column headers.
setHeadersEditable(boolean) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
setHealthyColor(Color) - Method in class edu.uah.math.devices.Forest
This method sets the color of the healty trees.
setHeight(int) - Method in class edu.ucla.loni.LOVE.colormap.ColorBar
set the height of color bar
setHighlightedItem(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Sets the item to be highlighted (use (-1, -1) for no highlight).
setHistogramColor(Color) - Method in class edu.uah.math.devices.Histogram
This method sets the color for the bars in the histogram.
setHistogramLeft(double) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setHistogramRight(double) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setHistogramType(int) - Method in class edu.uah.math.devices.Histogram
This method sets the plot style for the histogram.
setHorizontalAlign(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Specifies the alignment of the wrapper's contents along the Y axis.
setId(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setId(int) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setId(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Formula
 
setId(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
setId(int) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setId(String) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setImage(Image) - Method in class edu.uah.math.devices.Door
This method sets the image.
setImage(int) - Method in class edu.uah.math.devices.Door
This method sets the image to one of the standard images (car or goat).
setImage(Image, int) - Static method in class edu.ucla.stat.SOCR.util.Card
This class method assigns an image to card number i.
setImage(Image) - Static method in class edu.ucla.stat.SOCR.util.RouletteWheel
 
setImgURL(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Formula
 
setImplementedFile(String) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
setIndex(int) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method sets the Current Index.
setInfo(double) - Method in class edu.ucla.stat.SOCR.chart.data.Summary
 
setInitialState(int) - Method in class edu.uah.math.devices.UrnChain
This method sets the initial state.
setInput(short, String, Object) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
setInput() - Method in class edu.ucla.stat.SOCR.JRI.Ranalysis
 
setInputPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
setInputPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
setInputPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
setInputPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
 
setInputPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
setInputPanel() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
setIntervalColor(Color) - Method in class edu.uah.math.devices.CriticalGraph
This method sets the color for the interval.
setIntervalData(IntervalData) - Method in class edu.uah.math.devices.Histogram
This method assigns the data and sets up graph paramters.
setIntervalData(IntervalData) - Method in class edu.ucla.stat.SOCR.util.DataGraph
This method assigns the data and sets up graph paramters
setIntervalData(IntervalData) - Method in class edu.ucla.stat.SOCR.util.Histogram
This method assigns the data and sets up graph paramters
setIntervalData() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setIntervalData(IntervalData) - Method in class edu.ucla.stat.SOCR.util.varHistogram
This method assigns the data and sets up graph paramters
setIntervalType(IntervalType) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
setIntervalType(IntervalType) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
setIntervalType(IntervalType) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
setIntervalType(IntervalType) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
setInverted(boolean) - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Set inverted.
setInverted(boolean) - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
set the invert flag.
setIsDemo(boolean) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setIsPressingAlt(boolean) - Method in class edu.ucla.stat.SOCR.chart.gui.SOCRChartPanel
constructor
setJavaLookAndFeel() - Static method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
 
setJournal(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
setJTable(JTable) - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
setJTable(JTable) - Method in class edu.ucla.stat.SOCR.util.ExcelAdapter
 
setKernelColor(int, Paint) - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
setKeyMapping(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
setKeys() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
setKeyText() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
 
setKeywords(String) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setLabel(String) - Method in class edu.uah.math.devices.Door
This method sets the label.
setLabel(int, String) - Method in class edu.uah.math.devices.TransitionMatrixDialog
This method sets a specified label.
setLabel(int, String) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
This method sets the labels.
setLabelColor(Color) - Method in class edu.uah.math.devices.Door
This method sets the label color.
setLabels(String[]) - Method in class edu.uah.math.devices.TransitionMatrixDialog
This method sets the array of labels.
setLabels(String[]) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
This method sets the labels.
setLabelTitles(String[]) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
setLambda(double) - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
This method sets the shape parameter
setLambda(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
This method sets sigma
setLambda(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method sets sigma
setLambda(double) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Sets the lambda
setLastZeroShown(boolean) - Method in class edu.uah.math.devices.RandomWalkGraph
This method sets the boolean condition for showing the last zero.
setLeft(double) - Method in class edu.uah.math.devices.BetaGraph
This method sets the left beta parameter.
setLeft(double) - Method in class edu.uah.math.distributions.BetaDistribution
This method sets the left parameter.
setLeft(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
Sets the left parameter
setLeft(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Sets the left parameter
setLeft(double) - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
 
setLeft(double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Sets the left parameter
setLeft(double) - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Sets the left parameter
setLeft(double) - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Sets the left parameter
setLeft(double) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setLeftCutOff(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
These methods get/set the Limits, leftCutOff and rightCutOff, for the probability calculation.
setLeftCutOff(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
These methods get/set the Limits, leftCutOff and rightCutOff, for the probability calculation.
setLeftLimit(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Sets the left LIMIT
setLength(double) - Method in class edu.uah.math.devices.NeedleFloor
This method sets the length of the needle.
setLength(double) - Method in class edu.uah.math.devices.NeedleScatter
This method set the needle length.
setLength(double) - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
Set the length of the needle
setLength(double) - Method in class edu.ucla.stat.SOCR.util.NeedleScatter
Set the needle length
setLimits(int, int) - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Set the upper limit and lower limit of this colormap, Nothing will be changed if the input is invalid.
setListOfTicks(ArrayList) - Method in class edu.ucla.stat.SOCR.util.varHistogram
 
setLocation(double) - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method sets the location parameter.
setLocation(double) - Method in class edu.uah.math.distributions.LogNormalDistribution
This method sets the location parameter of ln(Y).
setLocation(double) - Method in class edu.uah.math.distributions.NormalDistribution
This method sets the location parameter.
setLocation(double) - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Sets the Location parameter
setLocation(double) - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Sets the left parameter (location)
setLocation(double) - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
Sets the Location parameter
setLocation(int) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Sets the Location parameter
setLogBase(int) - Method in class edu.ucla.stat.SOCR.distributions.BenfordDistribution
Set population size
setLoserTotal(int) - Method in class edu.uah.math.devices.BallotGraph
This method sets the total number of votes that the loser receives.
setLowerBound(double) - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method sets the lower bound of the domain.
setLowerBound(double) - Method in class edu.uah.math.distributions.TriangleDistribution
This method sets the lower bound
setLowerCritical(double) - Method in class edu.uah.math.devices.CriticalGraph
This method sets the lower critical value.
setLowerEstimate(double) - Method in class edu.uah.math.devices.MeanEstimateGraph
This method sets the lower estimate.
setLowerEstimate(double) - Method in class edu.uah.math.devices.VarianceEstimateGraph
This method sets the lower estimate.
setLowerLimit(int) - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
set lower limit
setLowerLimit(int) - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Set the lower limit.
setLowerLimit(double) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
setLowerValue(double) - Method in class edu.uah.math.distributions.FiniteDistribution
This method sets the lower value.
setMainPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
Sets the amin Stat Analysis GUI with left-analysis-choice & right-data-cointrol Jpanel's.
setMainPanel() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
Sets the amin Stat Analysis GUI with left-analysis-choice & right-data-cointrol Jpanel's.
setManualKernel(boolean) - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
setManualKernels(boolean) - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo5
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperNormalDistributionChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
setMapping() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
setMappingKeys() - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
setMappingKeys(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
setMappingPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
setMappingPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
setMappingPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
setMappingPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
setMappingPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
setMappingPanel() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
setMargins(int, int, int, int) - Method in class edu.uah.math.devices.Graph
This method sets the margin (in pixels).
setMargins(int, int, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method sets the margin (in pixels)
setMargins(int, int, int, int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method sets the margin (in pixels)
setMargins(int, int, int, int) - Method in class edu.ucla.stat.SOCR.util.Graph
This method sets the margin (in pixels)
setMax(double) - Method in class edu.uah.math.devices.Parameter
This method sets the maximum value of the parameter.
setMax(double) - Method in class edu.ucla.stat.SOCR.util.ParameterScrollbar
Set the maximum value of the parameter
setMaxShown(boolean) - Method in class edu.uah.math.devices.RandomWalkGraph
This method sets the boolean condition for showing the maximum value.
setMeansSDsWeights(double[], double[], double[]) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method sets up the 3 arrays of mixture parameters (Means[], SDs[] and Weights[]).
setMed(double) - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Sets the med parameter
setMGFDomain(Domain) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method sets the moment generating function's domain of the distribution for purposes of data collection and for default computations.
setMGFDomain(double, double, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method sets the MGF domain of the distribution for purposes of data collection and for default computations.
setMGFParameters() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method defines a partition of an interval that acts as a default domain for the moment generating function of the distribution, for purposes of data collection and for default computations.
setMGFParameters(double, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
setMGFParameters(double, double, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
setMGFParameters(double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
setMin(double) - Method in class edu.uah.math.devices.Parameter
This method sets the minimum value of the parameter.
setMin(double) - Method in class edu.ucla.stat.SOCR.util.ParameterScrollbar
Set the minimum value of the parameter
setMinimumSize() - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
 
setMinShown(boolean) - Method in class edu.uah.math.devices.RandomWalkGraph
This method sets the boolean condition for showing the minimum value.
setMixPanel() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
setMixPanel() - Method in class edu.ucla.stat.SOCR.chart.Chart
make the show_all panel
setMixPanel() - Method in class edu.ucla.stat.SOCR.chart.demo.DotChart
 
setMixPanel() - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
setMixPanel() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
setMixPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
make the show_all panel
setMixPanel() - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
make the show_all panel
setMixSelected(int) - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
setMixtureSelect(int) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
setModel(int, double[], double[]) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setModel(TableModel) - Method in class edu.ucla.stat.SOCR.util.tablemodels.FilteredTableModel
 
setModel(TableModel) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
 
setModelCount(int) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setModelType(int) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setModelType(int) - Method in class edu.ucla.stat.SOCR.util.varHistogram
 
setModelX(double[]) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setModelY(double[]) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setMomentType(int) - Method in class edu.uah.math.devices.DistributionGraph
This method specifies the moments to display in the moment bar (none or mean, standard deviation).
setMu(double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method sets mean
setMu(double) - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method sets mu
setMu(double) - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This method sets the location parameter
setMu(double) - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
This method sets the location parameter
setMu(double) - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method sets mu
setMu(double) - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method sets the location parameter
setName(String) - Method in class edu.uah.math.devices.Parameter
This method sets the name.
setName(String) - Method in class edu.uah.math.devices.Timeline
This method sets the name.
setName(String) - Method in class edu.uah.math.devices.UrnChain
This method sets the name of the chain.
setName(String) - Method in class edu.uah.math.distributions.Data
This method sets the name of the data set.
setName(String) - Method in class edu.uah.math.distributions.IntervalData
This method sets the name of the data set.
setName(String) - Method in class edu.uah.math.distributions.RandomVariable
This method assign a name to the random variable.
setName() - Method in class edu.ucla.stat.SOCR.analyses.data.Column
 
setName(String) - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
setName(String) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
setName(String) - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method sets the name of the data set.
setName(String) - Method in class edu.ucla.stat.SOCR.distributions.RandomVariable
Assign a name to the random variable
setName(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setName(String) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setNames(String, String) - Method in class edu.uah.math.devices.ScatterPlot
This method sets the names of the varaibles.
setNativeLookAndFeel() - Static method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
 
setNDegrees(int) - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method sets the numerator degrees of freedom
setNeedleColor(Color) - Method in class edu.uah.math.devices.NeedleFloor
This method sets the color for the needle.
setNeedleDropped(boolean) - Method in class edu.uah.math.devices.NeedleFloor
This method sets the boolean condition for the needle drop.
setnk(int) - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
setnk(int, double[]) - Method in class edu.ucla.stat.SOCR.chart.util.Mixture
 
setnk(int, double[]) - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
setnk(int) - Method in class edu.ucla.stat.SOCR.util.Mixture
 
setnk(int, double[]) - Method in class edu.ucla.stat.SOCR.util.Mixture
 
setNodeIndex(int) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setNodes(SOCRNode[]) - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
Member and Edge setting/getting - for external class access from TableApplet
SetNorm(boolean) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setNormalAsDefaultDistribution() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method sets the default distribution
setNotifications(boolean) - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
setNotify(boolean) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Sets a flag that controls whether or not listeners receive ChartChangeEvent notifications.
setNotify(boolean) - Method in class edu.ucla.stat.SOCR.util.EnhancedDefaultTableModel
Allows event notifications to be temporarily switched off for all listeneres.
setNumberOfCurves(int) - Method in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
setNumberOfTrials(int) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
setNumberOfTrials(int) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
 
setNumberStocks(String) - Method in class edu.ucla.stat.SOCR.applications.Application
 
setNumberStocks(String) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
setNumeratorDegrees(int) - Method in class edu.uah.math.distributions.FisherDistribution
This method sets the numerator degrees of freedom.
setNumOfKernels(int) - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
 
setOnFireColor(Color) - Method in class edu.uah.math.devices.Forest
This method sets the color of the on fire trees.
setOpenColor(Color) - Method in class edu.uah.math.devices.Door
This method sets the open color.
setOpened(boolean) - Method in class edu.uah.math.devices.Door
This method set the open state of the door.
setOptions(ScatterPlotRange, ScatterPlotRange, double, double) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
setOrder(int) - Method in class edu.uah.math.distributions.ExtremeValueDistribution
This method defines the type and the default domian..
setOrder(int) - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method sets the order.
setOrder(int) - Method in class edu.uah.math.distributions.OrderStatisticDistribution
This method sets the order.
setOrder(int) - Method in class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This method sets the order.
setOrientation(int) - Method in class edu.uah.math.distributions.TriangleDistribution
This method sets the orientation.
setOutlineColor(Color) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setOutlineColor1(Color) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setOutlineColor2(Color) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setOverColor(Color) - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Set over color
setOverColor(Color) - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Set over color.
setParameter(double) - Method in class edu.uah.math.devices.EstimateGraph
This method sets the true value of the parameter.
setParameter(int) - Method in class edu.uah.math.distributions.MatchDistribution
This method sets the parameter of the distribution.
setParameter(double) - Method in class edu.uah.math.distributions.ParetoDistribution
This method sets the parameter and computes the default domain.
setParameter(double) - Method in class edu.uah.math.distributions.PoissonDistribution
This method sets the parameter and creates the domain of the distribution.
setParameter(short, String, Object) - Method in class edu.ucla.stat.SOCR.analyses.data.Data
 
setParameter(int) - Method in class edu.ucla.stat.SOCR.distributions.DiscreteArcsineDistribution
This method sets the parameter, the number of steps.
setParameter(double, double) - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
This method sets the parameter and computes the default interval
setParameter(int) - Method in class edu.ucla.stat.SOCR.distributions.MatchDistribution
This method sets the parameter of the distribution (the size of the random permutation
setParameter(double) - Method in class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
This method sets the radius parameter
setParameter(double, double) - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
This method sets the parameter and computes the default interval
setParameter(double) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Set the LAMBDA parameter
setParameter(double) - Method in class edu.ucla.stat.SOCR.util.EstimateGraph
This method sets the true value of the parameter
setParameter(double) - Method in class edu.ucla.stat.SOCR.util.ParameterScrollbar
Set the value of the parameter
setParameterColor(Color) - Method in class edu.uah.math.devices.EstimateGraph
This method sets the parameter color.
setParameterOfInterest() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
setParameterOfInterest() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
setParameters(int, int) - Method in class edu.uah.math.devices.BallotGraph
This method sets the basic parameters: the winner count and loser count.
setParameters(double, double) - Method in class edu.uah.math.devices.BetaGraph
This method sets the parameters: the left and right parameters for the prior distribution, the number of trials, and the probability of success.
setParameters(double, double) - Method in class edu.uah.math.devices.BivariateScatterPlot
This method sets the parameters (slope and intercept) of the distribution regression line.
setParameters(int) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method sets the basic parameter: number of experiments.
setParameters(RandomVariable, DieDistribution) - Method in class edu.uah.math.devices.DiceDistributionGraph
This method sets the random variable (which includes the true and data distributions) and the test distribution.
setParameters(int, int, int) - Method in class edu.uah.math.devices.Forest
This method sets the parameters: the number of rows, the number of columns, and the tree width.
setParameters(int, int) - Method in class edu.uah.math.devices.Forest
 
setParameters(int, double) - Method in class edu.uah.math.devices.RandomWalkGraph
This method sets the parameters, the number of steps and the the probability of a step to the right.
setParameters(int, int) - Method in class edu.uah.math.devices.RedBlackGraph
This method sets the parameters: the initial fortune and the target fortune.
setParameters(int, int, int) - Method in class edu.uah.math.devices.Voters
This method sets the parameters: the number of rows and columns, and the array of states (colors).
setParameters(int, int) - Method in class edu.uah.math.devices.Voters
This method sets the parameters: the number of rows and columns.
setParameters(double, double) - Method in class edu.uah.math.distributions.BetaDistribution
This method sets the parameters, computes the normalizing constant c, and specifies the default domain.
setParameters(int, double) - Method in class edu.uah.math.distributions.BinomialDistribution
This method sets the number of trials and the probability of success, and computes the default domain.
setParameters(Distribution, double) - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method sets the parameters: the distribution for the number of trials and the probability of success.
setParameters(int, int) - Method in class edu.uah.math.distributions.BirthdayDistribution
This method sets the parameters: the population size and the sample size.
setParameters(double, double) - Method in class edu.uah.math.distributions.ChiSquareDistribution
This method sets the gamma parameters, which must be related to the degrees of freedom.
setParameters(double, double) - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method sets the parameters: the minimum and maximum values of the interval.
setParameters(Distribution, int) - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method sets the parameters: the distribution and convolution power.
setParameters(int, int) - Method in class edu.uah.math.distributions.CouponDistribution
This method sets the parameters: the population size and number of distinct values needed.
setParameters(double, double, double, double[]) - Method in class edu.uah.math.distributions.DieDistribution
This method ensures that the finite distribution parameters are not changed to inappropriate values.
setParameters(double, double, double, double[]) - Method in class edu.uah.math.distributions.DiscreteUniformDistribution
This method sets the finite distribution parameters to ensure that the uniform distribution is not changed.
setParameters(double, double) - Method in class edu.uah.math.distributions.ExponentialDistribution
This method sets the gamma shape and scale parameters.
setParameters(double, double, double, double[]) - Method in class edu.uah.math.distributions.FiniteDistribution
This method sets the parameters: the domain and the probabilities.
setParameters(double, double, double) - Method in class edu.uah.math.distributions.FiniteDistribution
This method sets the domain parameters.
setParameters(int, int, int) - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method sets the parameters: the sample size, population size, and order.
setParameters(int, int) - Method in class edu.uah.math.distributions.FisherDistribution
This method sets the parameters, the degrees of freedom in the numerator and denominator.
setParameters(double, double) - Method in class edu.uah.math.distributions.GammaDistribution
This method sets the parameters and creates the default domain.
setParameters(int, double) - Method in class edu.uah.math.distributions.GeometricDistribution
This method sets the negative binomial parameters, and ensures that the number of successes is set at 1.
setParameters(int, int, int) - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method set the parameters of the distribution and computes the domain.
setParameters(Distribution, double, double) - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method sets the parameters, the distribution and the location and scale parameters, and sets up the domain.
setParameters(double, double) - Method in class edu.uah.math.distributions.LogNormalDistribution
This method sets the parameters, computes the default domain.
setParameters(Distribution[], double[]) - Method in class edu.uah.math.distributions.MixtureDistribution
This method sets up the domain of the general mixture distributions in terms of the distributions being mixed.
setParameters(Distribution, Distribution, double) - Method in class edu.uah.math.distributions.MixtureDistribution
This method sets up the domain of for the mixture of two distributions.
setParameters(int, double) - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method set the paramters and the default domain.
setParameters(double, double) - Method in class edu.uah.math.distributions.NormalDistribution
This method sets the parameters and defines the default domain.
setParameters(Distribution, int, int) - Method in class edu.uah.math.distributions.OrderStatisticDistribution
This method sets the parameters: the sampling distribution, sample size, and order.
setParameters(double, double, int) - Method in class edu.uah.math.distributions.TriangleDistribution
This method sets the parameters: the minimum value, maximum value, and orientation.
setParameters(int, double) - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method sets the time and probability parameters.
setParameters(double, double) - Method in class edu.uah.math.distributions.WeibullDistribution
This method sets the shape and scale parameter.
setParameters() - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method sets the true distBias and mean square error, after the scrollbar parameters have changed.
setParameters() - Method in class edu.uah.math.experiments.BirthdayExperiment
This method updates the paramerters of the distribution when these parameters have been changed with the scrollbars.
setParameters() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method sets distribution of the sample size random variable, and is called whenever the parameters (the population size or the number of distinct values to be obtained) varies.
setParameters() - Method in class edu.uah.math.experiments.MeanEstimateExperiment
This method sets the standard score variable and computes the critical values.
setParameters() - Method in class edu.uah.math.experiments.MeanTestExperiment
This method sets the distribution of the standard score, and then updates the record table, and standard score graph appropriately.
setParameters() - Method in class edu.uah.math.experiments.PointExperiment
This method sets the parameter of the win distribution when the number of points needed for a player or the point probability have changed.
setParameters() - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
This method sets the parameters: the upper and lower critical values.
setParameters() - Method in class edu.uah.math.experiments.ProportionTestExperiment
This method computes the lower and upper critical values.
setParameters() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method sets the parameters: the success probability and the mean of the number of trials.
setParameters() - Method in class edu.uah.math.experiments.UrnExperiment
This method sets the distribution for the random variable in terms of the parameters (the number of balls, the number of red balls, and the sample size.
setParameters() - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
This method computes the upper and lower critical values when the distribution or parameters have changed.
setParameters() - Method in class edu.uah.math.experiments.VarianceTestExperiment
This method computes the upper and lower critical values and sets up the graphs when the distribution changes.
setParameters(double, double, double, int) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method defines a partition of an interval that acts as a default domain for the distribution, for purposes of data collection and for default computations.
setParameters(int) - Method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
This method sets the degrees parameter
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
This method sets the parameters: the minimum value, maximum value, and orientation.
setParameters(int) - Method in class edu.ucla.stat.SOCR.distributions.BenfordDistribution
Set the parameters of the distribution
setParameters(int, double, double) - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Set the parameters
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
Set the parameters, compute the normalizing constant c, and specifies the interval and partition
setParameters(double, double, double, double) - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Set the parameters, compute the normalizing constant c, and specifies the interval and partition
setParameters(int, double) - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Set the parameters
setParameters(Distribution, double) - Method in class edu.ucla.stat.SOCR.distributions.BinomialRandomNDistribution
Set the parameters: the distribution for the number of trials and the probability of success
setParameters(int, int) - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This method sets the parameters: the population size and the sample size.
setParameters(int) - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
This method sets the degrees of freedom
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method sets the parameters: the minimum and maximum values of the interval.
setParameters(Distribution, int) - Method in class edu.ucla.stat.SOCR.distributions.Convolution
This method sets the parameters: the distribution and convolution power.
setParameters(int, int) - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
This method sets the parameters: the population size (m) and number of distinct values needed (k)
setParameters(double, double, double) - Method in class edu.ucla.stat.SOCR.distributions.DiscreteUniformDistribution
 
setParameters(double, int) - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Set the parameters, compute the normalizing constant NormalizingConst, and specifies the interval and partition.
setParameters(double, double, double) - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Set the parameters, compute the normalizing constant NormalizingConst, and specifies the interval and partition
setParameters(double, double, double, double[]) - Method in class edu.ucla.stat.SOCR.distributions.FiniteDistribution
This method sets the parameters: the domain and the probabilities.
setParameters(int, int, int) - Method in class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This method sets the parameters: the sample size, population size, and order.
setParameters(int, int) - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method sets the parameters, the degrees of freedom in the numerator and denominator.
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Set the parameters, compute the normalizing constant c, and specifies the interval and partition
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
Set parameters and assign the default partition
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Set the parameters, compute the normalizing constant c, and specifies the interval and partition
setParameters(double, double, double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method sets the parameters, computes the default interval
setParameters(int, double) - Method in class edu.ucla.stat.SOCR.distributions.GeometricDistribution
Override set parameters
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method sets the parameters, computes the default interval
setParameters(double, double, int) - Method in class edu.ucla.stat.SOCR.distributions.GompertzDistribution
Set parameters and assign the default partition
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Set the parameters, compute the normalizing constant c, and specifies the interval and partition
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This method sets the parameters
setParameters(int, int, int) - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Set the parameters of the distribution
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
Set parameters and assign the default partition
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
This method sets the parameters
setParameters(double, double, double, double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
This method sets the parameters, computes the default interval
setParameters(double, double, double, double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method sets the parameters, computes the default interval
setParameters(int) - Method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
This method sets the degrees parameter
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
Set parameters and assign the default partition
setParameters(Distribution, double, double) - Method in class edu.ucla.stat.SOCR.distributions.LocationScaleDistribution
This method sets the parameters: the distribution and the location and scale parameters
setParameters(double) - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Set the parameters, compute the normalizing constant NormalizingConst, and specifies the interval and partition
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
This method sets the parameters
setParameters(double, double, double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This method sets the parameters
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method sets the parameters, computes the default interval
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
Set the parameters, compute the normalizing constant c, and specifies the interval and partition
setParameters(Distribution[], double[]) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method sets up the domain of the general mixture distributions in terms of the distributions being mixed.
setParameters(Distribution, Distribution, double) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method sets up the domain of for the mixture of two distributions.
setParameters(int, double[], int[]) - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
setParameters(double, double, double) - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
Set the parameters
setParameters(int, double) - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
This method set the paramters and the set of values.
setParameters(int, int, int) - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Set the parameters of the distribution
setParameters(int, double[], int[]) - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
Sets the parameters gamma and p of this object.
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method sets the parameters
setParameters(Distribution, int, int) - Method in class edu.ucla.stat.SOCR.distributions.OrderStatisticDistribution
Set the parameters: the sampling distribution, sample size, and order
setParameters(double) - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
setParameters(int, double) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Set the shift & lambda parameters
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Set the parameters, compute the normalizing constant NormalizingConst, and specifies the interval and partition
setParameters(double) - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
Set the parameters, compute the normalizing constant c, and specifies the interval and partition
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method sets the parameters: the minimum and maximum values of the interval.
setParameters(double, double, int) - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This method sets the parameters: the minimum value, maximum value, and orientation.
setParameters(double, double, double, double) - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Set the parameters, compute the normalizing constant c, and specifies the all 4 parameters
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This method sets the parameters: the minimum and maximum values of the interval.
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This method sets the parameters: the minimum and maximum values of the interval.
setParameters(int, double) - Method in class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This method sets the time and probability parameters.
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method sets the shape and scale parameter.
setParameters(int, double, int) - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Set the parameters of the distribution
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.BetaCoinExperiment
This method sets the true bias and mean square error, after the scrollbar parameters have changed
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.BirthdayExperiment
Compute the probability of a match
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.BivariateNormalExperiment
 
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.CouponCollectorExperiment
Set parameters
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.GeneralBirthdayExperiment
This method sets the paramerters of the distribution when these parameters have been changed with the scrollbars
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
This method sets the parameters.
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
This method sets the parameters.
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.PointExperiment
This method sets the parameter of the win distribution when the number of points needed for a player or the point probability have changed
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.ProportionEstimateExperiment
This method sets the parameters: the upper and lower critical values.
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
This method computes the lower and upper critical values.
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
This method sets the parameters: the success probability and the mean of the number of trials.
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.UrnExperiment
 
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
This method computes the upper and lower critical values when the distribution or parameters have changed.
setParameters() - Method in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
This method computes the upper and lower critical values and sets up the graphs when the distribution changes.
setParameters(int, int) - Method in class edu.ucla.stat.SOCR.util.BallotGraph
This method sets the basic parameters: the winner count and loser count
setParameters(double, double, int, double) - Method in class edu.ucla.stat.SOCR.util.BetaGraph
This method sets the parameters: the left and right parameters for the prior distribution, the number of trials, and the probability of success
setParameters(double, double) - Method in class edu.ucla.stat.SOCR.util.BivariateScatterPlot
 
setParameters(RandomVariable, DieDistribution) - Method in class edu.ucla.stat.SOCR.util.DiceDistributionGraph
 
setParameters(int, int, int) - Method in class edu.ucla.stat.SOCR.util.Forest
This method sets the parameters: the number of rows, the number of columns, and the tree width.
setParameters(int, double) - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method sets the parameters: the time parameter n and the probability p of a move to the right.
setParameters(int, int) - Method in class edu.ucla.stat.SOCR.util.RedBlackGraph
This method sets the parameters: the initial fortune and the target fortune.
setParameters(double, double, double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method sets the parameters: the partitions of the intervals.
setParameters(double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.ScatterPlot
This method sets the parameters: the intervals.
setParameters(int, int, int) - Method in class edu.ucla.stat.SOCR.util.Voters
This method sets the parameters: the number of rows and columns and the width.
setPath(int[]) - Method in class edu.uah.math.devices.GaltonBoard
This method sets the path of the ball through the Galton board.
setPath() - Method in class edu.uah.math.devices.GaltonBoard
This method sets the path of the ball through the Galton board randomly, according to the probability.
setPath(int[]) - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method sets the path of the ball through the Galton board
setPathDrawn(boolean) - Method in class edu.uah.math.devices.GaltonBoard
This method sets the state of the path drawn boolean variable.
setPegColor(Color) - Method in class edu.uah.math.devices.GaltonBoard
This method sets the peg color.
setPGFDomain(Domain) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method sets the moment generating function's domain of the distribution for purposes of data collection and for default computations.
setPGFDomain(double, double, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
This method sets the PGF domain of the distribution for purposes of data collection and for default computations.
setPGFParameters() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method defines a partition of an interval that acts as a default domain for the probability generating function of the distribution, for purposes of data collection and for default computations.
setPGFParameters(double, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
setPGFParameters(double, double, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
setPGFParameters(double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
setPlot(XYPlot) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Sets the plot that the renderer is assigned to.
setplotline() - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
setplotline() - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
setPlotXMax(double) - Method in class edu.ucla.stat.SOCR.util.varHistogram
 
setPlotXMin(double) - Method in class edu.ucla.stat.SOCR.util.varHistogram
 
setPlotYMax(double) - Method in class edu.ucla.stat.SOCR.util.varHistogram
 
setPlotYMin(double) - Method in class edu.ucla.stat.SOCR.util.varHistogram
 
setPointColor(int, Color) - Method in class edu.ucla.stat.SOCR.util.Database
 
setPointSize(int) - Method in class edu.uah.math.devices.Graph
This method sets the point size (in pixels) for drawing points.
setPointSize(int) - Method in class edu.ucla.stat.SOCR.util.Graph
This method sets the point size (in pixels)
setPolygon(Polygon) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
setPolygon(Polygon) - Method in class edu.ucla.stat.SOCR.util.CurvedGaussian
 
setPopSize(int) - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This method sets the population size
setPopSize(int) - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
Set the population size
setPopulationSize(int) - Method in class edu.uah.math.distributions.BirthdayDistribution
This method sets the population size.
setPopulationSize(int) - Method in class edu.uah.math.distributions.CouponDistribution
This method sets the population size.
setPopulationSize(int) - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method sets the population size.
setPopulationSize(int) - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method sets population size.
setPopulationSize(int) - Method in class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This method sets the population size.
setPopulationSize(int) - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Set population size
setPopulationSize(int) - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Set population size
setPopulationSize(int) - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Set population size
setPosition(int) - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
TODO: later, it may still resize after initial settings.
setPosteriorColor(Color) - Method in class edu.uah.math.devices.BetaGraph
This method sets the color for the posterior density graph.
setPosteriorDrawn(boolean) - Method in class edu.uah.math.devices.BetaGraph
This method sets the boolean condition for drawing the posterior graph.
setPower(int) - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method sets the convolution power.
setPower(double) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
This method sets the Power parameter.
setPower(double) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
This method sets the Power parameter.
setPower(double) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
This method sets the Power parameter.
setPower(double) - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
This method sets the Power parameter.
setPower(int) - Method in class edu.ucla.stat.SOCR.distributions.Convolution
This method sets the convolution power.
setPower(double) - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Sets the power
setPower(double) - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Set sub-population size
setPowerX(double) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
This method sets the PowerX parameter.
setPowerY(double) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
This method sets the PowerY parameter.
setPreferredSize() - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
 
setPriorColor(Color) - Method in class edu.uah.math.devices.BetaGraph
This method sets the color for the prior density graph.
setProbabilities(double[]) - Method in class edu.uah.math.devices.DiceBoard
This method sets the probability distribution for all of the dice.
setProbabilities(double[]) - Method in class edu.uah.math.devices.Die
This method sets the probabilities to specified values.
setProbabilities(int, double) - Method in class edu.uah.math.devices.Die
This method sets an individual probability
setProbabilities(double[]) - Method in class edu.uah.math.devices.Forest
This method sets the array of fire spread probabilities.
setProbabilities(int, double) - Method in class edu.uah.math.devices.Forest
This method sets an individual fire spread probability.
setProbabilities(double[]) - Method in class edu.uah.math.devices.ProbabilityDialog
This method sets the array of probabilities.
setProbabilities(int, double) - Method in class edu.uah.math.devices.ProbabilityDialog
This method sets the probability of a specified value.
setProbabilities(double[]) - Method in class edu.uah.math.devices.QuantileTable
This method sets the probabilities.
setProbabilities(double[]) - Method in class edu.uah.math.devices.Spinner
This method sets the array of probabilities.
setProbabilities(int, double) - Method in class edu.uah.math.devices.Spinner
This method sets an individual probability.
setProbabilities(double[][]) - Method in class edu.uah.math.devices.TransitionMatrixDialog
This method sets the entire array of probabilities.
setProbabilities(double[][]) - Method in class edu.uah.math.devices.UrnChain
This method sets the probabilities.
setProbabilities() - Method in class edu.uah.math.devices.UrnChain
This method sets the probabilitites in each row of the transition matrix to be uniform.
setProbabilities(double[]) - Method in class edu.uah.math.devices.Voters
This method sets the probabilities for selecting a neighbor.
setProbabilities(int, double) - Method in class edu.uah.math.devices.Voters
This method sets and individual probability for selecting a neighbor.
setProbabilities(int) - Method in class edu.uah.math.distributions.DieDistribution
This method specifies the probabilities for the special types (fair, 1-6 flat, 2-5 flat, 3-4 flat, skewed left, or skewed right).
setProbabilities(double[]) - Method in class edu.uah.math.distributions.DieDistribution
This method sets the probabilities.
setProbabilities(double[]) - Method in class edu.uah.math.distributions.DiscreteUniformDistribution
This method sets the probabilities to ensure that the uniform distribution is not changed.
setProbabilities(double[]) - Method in class edu.uah.math.distributions.FiniteDistribution
This method sets the probabilities.
setProbabilities(int, double) - Method in class edu.uah.math.distributions.FiniteDistribution
This method sets an individual probability.
setProbabilities(double[]) - Method in class edu.uah.math.distributions.MixtureDistribution
This method sets the probabilities.
setProbabilities(int, double) - Method in class edu.uah.math.distributions.MixtureDistribution
This method sets a particular probability.
setProbabilities(int) - Method in class edu.ucla.stat.SOCR.distributions.DieDistribution
Specify probabilities of a special type
setProbabilities(double[]) - Method in class edu.ucla.stat.SOCR.distributions.FiniteDistribution
Set the probabilities
setProbabilities(double[]) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method sets the probabilities.
setProbabilities(int, double) - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method sets a particular probability.
setProbabilities(double[]) - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method sets the probability distribution for all of the dice.
setProbabilities(int) - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method sets the probability distribution of all of the dice to a special type.
setProbabilities(double[]) - Method in class edu.ucla.stat.SOCR.util.Die
This method sets the probabilities to specified values.
setProbabilities(int) - Method in class edu.ucla.stat.SOCR.util.Die
This method sets the probabilities to a special type
setProbabilities(double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.Forest
This method sets the fire spread probabilities.
setProbabilities(double[]) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
This method sets the probabilities.
setProbabilities(double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.Voters
This method sets the probabilities for selecting a neighbor.
setProbability(double) - Method in class edu.uah.math.devices.BetaGraph
This method sets the probability of a success.
setProbability(double) - Method in class edu.uah.math.devices.Coin
This method sets the probability of heads.
setProbability(double) - Method in class edu.uah.math.devices.CoinBox
This method sets the probability of heads for all of the coins.
setProbability(float) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method sets the theoretical probability.
setProbability(double) - Method in class edu.uah.math.devices.GaltonBoard
This method sets the probability of a step to the right.
setProbability(double) - Method in class edu.uah.math.devices.QuantileGraph
This method sets the probability.
setProbability(double) - Method in class edu.uah.math.devices.RandomWalkGraph
This method sets the probabiltiy of a step in the positive direction.
setProbability(int, int, double) - Method in class edu.uah.math.devices.TransitionMatrixDialog
This method sets the probability of the i, j entry.
setProbability(double) - Method in class edu.uah.math.distributions.BinomialDistribution
This method sets the probability of success.
setProbability(double) - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method sets the probability of success.
setProbability(double) - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method sets the probability parameter.
setProbability(double) - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method sets the probability parameter.
setProbability(double) - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Set the probability of success
setProbability(double) - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Set the probability parameters
setProbability(double) - Method in class edu.ucla.stat.SOCR.util.Coin
This method sets the probability of heads.
setProbability(double) - Method in class edu.ucla.stat.SOCR.util.CoinBox
This method sets the probability of heads for all of the coins.
setProbability(int, double) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
This method sets the probability of value i.
setProbability(double) - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method sets the probabiltiy of a move to the right.
setProperties(double, double, double, double, String, String) - Method in class edu.uah.math.devices.Parameter
This method sets the range and strings.
setProportions(int, float) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method sets the Heads Proportion at a specified time index.
setPulloutFromTable() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
setQQSummary(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
setQQSummary(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
setQuantile(double) - Method in class edu.uah.math.devices.QuantileGraph
This method sets the quantile.
setQuantile(double) - Method in class edu.ucla.stat.SOCR.util.QuantileGraph
This method sets the getQuantile.
setQuantiles(double[]) - Method in class edu.uah.math.devices.ProbabilityPlot
This method sets the test getQuantiles.
setQuantiles() - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
This method sets the quantiles of the test distribution.
setQuantiles() - Method in class edu.ucla.stat.SOCR.experiments.ProbabilityPlotExperiment
This method sets the quantiles.
setQuantiles(double[]) - Method in class edu.ucla.stat.SOCR.util.ProbabilityPlot
This method sets the test getQuantiles.
setQuantiles(double[]) - Method in class edu.ucla.stat.SOCR.util.ProbabilityPlotGraph
This method sets the test getQuantiles.
setRadius(double) - Method in class edu.uah.math.devices.CoinFloor
This method sets the coin radius to a specified value.
setRadius(double) - Method in class edu.uah.math.devices.CoinScatter
This method sets the radius.
setRadius(double) - Method in class edu.uah.math.devices.GaltonBoard
This method sets the radius of the pegs and the ball.
setRadius(double) - Method in class edu.uah.math.distributions.CircleDistribution
This method sets the radius parameter and computes the domain of the distribution.
setRadius(double) - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
This method sets the radius parameter
setRadius(double) - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method sets the coin radius to a specified value
setRadius(double) - Method in class edu.ucla.stat.SOCR.util.CoinScatter
This method sets the radius
setRandomVariable(RandomVariable) - Method in class edu.uah.math.devices.RandomVariableGraph
This method specifies the random variable and sets up graph paramters.
setRandomVariable(RandomVariable) - Method in class edu.uah.math.devices.RandomVariableTable
This method sets the random variable.
setRandomVariable(RandomVariable) - Method in class edu.ucla.stat.SOCR.util.RandomVariableGraph
This method assigns the random variable and sets up graph paramters
setRandomVariable(RandomVariable) - Method in class edu.ucla.stat.SOCR.util.RandomVariableTable
Set the random variable
setRange(double, double, double, double) - Method in class edu.uah.math.devices.Parameter
This method sets the range of the parameter
setRange(int, int) - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Set the range a thumbe can move.
setRange() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
setRange(double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
setRange(double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
setRange(int, double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
setRange() - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
setRange(double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.GaussLineMixture
 
setRange(int, double, double, double, double) - Method in class edu.ucla.stat.SOCR.chart.util.GaussLineMixture
 
setRange(int, int) - Method in class edu.ucla.stat.SOCR.core.ValueSetter
 
setRange(int, int, int) - Method in class edu.ucla.stat.SOCR.core.ValueSetter
 
setRange() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
setRange(double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.ParameterScrollbar
Set the range of the parameter: min, max, step size, and value
setRange(double, double) - Method in class edu.ucla.stat.SOCR.util.Timeline
This method sets the upper and lower values
setRange(double, double, double) - Method in class edu.ucla.stat.SOCR.util.Timeline
This method sets the upper and lower values and the width
setRange(double, double) - Method in class edu.ucla.stat.SOCR.util.ValueSlider
 
setRange(double, double, double) - Method in class edu.ucla.stat.SOCR.util.ValueSlider
 
setRange(double, double) - Method in class edu.ucla.stat.SOCR.util.ValueSliderFloat
 
setRange(double, double, double) - Method in class edu.ucla.stat.SOCR.util.ValueSliderFloat
 
setRank(double) - Method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
setRate(double) - Method in class edu.uah.math.distributions.ExponentialDistribution
This method sets the rate parameter.
setRate(double) - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This method sets the rate parameter
setRawData(double[]) - Method in class edu.ucla.stat.SOCR.util.NormalCurve
 
setRawDataDistribution(NormalDistribution) - Method in class edu.ucla.stat.SOCR.util.NormalCurve
 
setRef(int) - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Set the reference position.
setRefId(int, int[]) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setRefs(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setRefs(String) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setResultPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
setResultPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
 
setResultPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
setResultPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
setResultPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
setResultPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
 
setResultPanel() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
setRight(double) - Method in class edu.uah.math.devices.BetaGraph
This method sets the right beta parameter.
setRight(double) - Method in class edu.uah.math.distributions.BetaDistribution
This method sets the right parameter.
setRight(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
Sets the right parameter
setRight(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Sets the right parameter
setRight(double) - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
 
setRight(double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
Sets the right parameter
setRight(double) - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
Sets the right parameter
setRight(double) - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Sets the right parameter
setRight(double) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setRightCutOff(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
 
setRightCutOff(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
 
setRightLimit(double) - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
Sets the right LIMIT
setRolled(boolean) - Method in class edu.uah.math.devices.DiceBoard
This method sets the state of the dice (rolled or not rolled).
setRolled(boolean) - Method in class edu.uah.math.devices.Die
This method sets the state of the die (rolled or not rolled).
setRowComparator(RowComparator) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Sets RowComparator used to sort table rows.
setRowFilter(RowFilter) - Method in class edu.ucla.stat.SOCR.util.tablemodels.FilteredTableModel
Sets RowFilter used to filter table rows.
setRowNames() - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
setRows(int) - Method in class edu.uah.math.devices.Forest
This method sets the number of rows in the forest lattice.
setRows(int) - Method in class edu.uah.math.devices.GaltonBoard
This method sets the number of rows in the Galton board.
setRows(int) - Method in class edu.uah.math.devices.Voters
This method sets the number of rows.
setRows(int) - Method in class edu.ucla.stat.SOCR.util.GaltonBoard
This method sets the number of rows in the Galton board
setSampleData(double[]) - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
setSampleData(String[]) - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
setSampleMeanOption(boolean) - Method in class edu.ucla.stat.SOCR.util.NormalCurve
 
setSampleSize(int) - Method in class edu.uah.math.distributions.BirthdayDistribution
This method sets the sample size.
setSampleSize(int) - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method sets the sample size.
setSampleSize(int) - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method sets the sample size.
setSampleSize(int) - Method in class edu.uah.math.distributions.OrderStatisticDistribution
This method sets the sample size.
setSampleSize(int) - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This method sets the sample size
setSampleSize(int) - Method in class edu.ucla.stat.SOCR.distributions.FiniteOrderStatisticDistribution
This method sets the sample size.
setSampleSize(int) - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Set sample size
setSampleSize(int) - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Set sample size
setSampleSize(int) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
setSampleSize(int) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
 
setSampleSize_NumberExperiments(int, int) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasSimple
 
setSampleSizeAndNTrials(int[], int) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
setSampleSizeAndNTrials(int[], int) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
setSampleSizeAndNTrials(int, int) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
setSampleSizeAndNTrials(int, int) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
setScale(double, double, double, double) - Method in class edu.uah.math.devices.Graph
This method sets the minimum and maximum values on the x and y axes.
setScale(double) - Method in class edu.uah.math.distributions.ChiSquareDistribution
This method sets the scale parameter, which must be 2.
setScale(double) - Method in class edu.uah.math.distributions.GammaDistribution
This method sets the scale parameters.
setScale(double) - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method sets the scale parameter.
setScale(double) - Method in class edu.uah.math.distributions.LogNormalDistribution
This method sets the scale parameter of ln(Y).
setScale(double) - Method in class edu.uah.math.distributions.NormalDistribution
This method sets the scale parameter.
setScale(double) - Method in class edu.uah.math.distributions.WeibullDistribution
This method sets the scale parameter.
setScale(double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method sets the minimum and maximum values on the x and y axes
setScale(double, double, double, double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method sets the minimum and maximum values on the x and y axes
setScale(double) - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Sets the scale parameter
setScale(double) - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Sets the Scale parameter
setScale(double) - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
Sets the right parameter (scale)
setScale(double) - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
Sets the Scale parameter
setScale(double) - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Sets the Scale parameter
setScale(double) - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method sets the shape parameter
setScale(double, double, double, double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method sets the minimum and maximum values on the x and y axes
setScatterPlot_Ranges() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
setScore(int, int) - Method in class edu.uah.math.devices.Card
This methood sets the card to a specific card, as specified by the suit and value.
setScore(int) - Method in class edu.uah.math.devices.RouletteWheel
This method sets the current score of the roulette wheel (the number of the slot containing the ball).
setScore(int) - Method in class edu.ucla.stat.SOCR.util.Card
This method sets the card to a value, as specified by a number from 0 to 51: 0 to 12 are the clubs, 13 to 25 the diamonds, 26 to 38 the heards, and 39 to 51 the spades
setScore(int, int) - Method in class edu.ucla.stat.SOCR.util.Card
This methood sets the card to a specific card, as specified by the suit and value: suit 0: clubs, suit 1: diamonds, suit 2: hearts, suit 3: spades.
setScore(int) - Method in class edu.ucla.stat.SOCR.util.RouletteWheel
 
setScoreIndex(int) - Method in class edu.uah.math.devices.RouletteWheel
This method sets the index of the score (starting at 0 and progressing counterclockwise).
setSelected(boolean) - Method in class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
setSelectedApplication(String) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
setSelectedApplication(String) - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
setSelectedCategory(Object) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Sets the category to be selected.
setSelectedCategory(Object, boolean) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Sets the category to be selected.
setSelectedItem(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Sets the item to be selected.
setSelectedItem(int, int, boolean) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Sets the item to be selected.
setSelectPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
setSelectPanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
setSelectPanel() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
setShape(double) - Method in class edu.uah.math.distributions.ChiSquareDistribution
This method sets the shape parameter, which must be n/2, where n is the degrees of freedom.
setShape(double) - Method in class edu.uah.math.distributions.ExponentialDistribution
This method sets the gamma shape parameter, which must be 1.
setShape(double) - Method in class edu.uah.math.distributions.GammaDistribution
This method sets the shape parameter.
setShape(double) - Method in class edu.uah.math.distributions.WeibullDistribution
This method sets the shape parameter.
setShape(int) - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
Sets the shape parameter
setShape(double) - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
Sets the Shape parameter
setShape(double) - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
Sets the shape parameter
setShape(double) - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
Sets the Shape parameter
setShape(double) - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This method sets the shape parameter
setShift(double) - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This method sets the Shift parameter
setShift(int) - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
 
setShift(int) - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Set Shift
setShow(int) - Method in class edu.uah.math.devices.CellGrid
This method sets the show parameter.
setShow(int) - Method in class edu.uah.math.devices.StatisticsTable
This method sets the show paramter.
setShowAllPanel() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
setShowCutOffs(boolean) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
setShowGraph(boolean) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
setShowModelDistribution(boolean) - Method in class edu.uah.math.devices.Graph
 
setShowModelDistribution(boolean) - Method in class edu.uah.math.devices.RandomVariableTable
 
setShowModelDistribution(boolean) - Method in class edu.uah.math.devices.StatisticsTable
 
setShowModelDistribution(boolean) - Method in class edu.uah.math.experiments.Experiment
 
setShowModelDistribution(boolean) - Method in class edu.ucla.stat.SOCR.applications.Application
 
setShowModelDistribution(boolean) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
setShowModelDistribution(boolean) - Method in class edu.ucla.stat.SOCR.core.Experiment
 
setShowModelDistribution(boolean) - Method in interface edu.ucla.stat.SOCR.core.IExperiment
 
setShowModelDistribution(boolean) - Method in class edu.ucla.stat.SOCR.util.Graph
 
setSides(double, double, double) - Method in class edu.uah.math.devices.Stick
This method sets the sides of the stick to specified values and determines the type of triangle.
setSides(double, double, double) - Method in class edu.ucla.stat.SOCR.util.Triangle
This method sets the sides to specified values and determines the type of triangle.
setSigma(double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method sets Sigma
setSigma(double) - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method sets sigma
setSigma(double) - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This method sets the scale parameter
setSigma(double) - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method sets sigma
setSigma(double) - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method sets the scale parameter
setSign(boolean) - Method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
setSize(int) - Method in class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
setSize(int, int) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
setSize(int, int) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
setSize(int) - Method in class edu.ucla.stat.SOCR.util.Ball
This method sets the size of the ball.
setSize(int) - Method in class edu.ucla.stat.SOCR.util.Coin
This method sets the size of the coin.
setSize(int) - Method in class edu.ucla.stat.SOCR.util.Die
this method sets the size of the die.
setSizeMapping(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
setSliceSize(int) - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
setSliceSize(int) - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
setSliceSize(int) - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
setSliceSize(int) - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
setSliceSize(int) - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
setSliceSize(int) - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
setSliceSize(int) - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
setSOCRAppletCodeBase(URL) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
setSOCRAppletCodeBase(URL) - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
setSortingColumns(List) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Specifies sorting columns infos and calls SortedTableModel.sort() method.
setSource(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setSourceId(int) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setSpecialProbabilities(int) - Method in class edu.uah.math.devices.DiceBoard
This method sets the probability distribution of all of the dice to a special type.
setSpecialProbabilities(int) - Method in class edu.uah.math.devices.Die
This method sets the probabilities to a special type.
setSpeed(String) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
setSpotColor(Color) - Method in class edu.uah.math.devices.DiceBoard
This method sets the spot color for all of the dice.
setSpotColor(Color) - Method in class edu.uah.math.devices.Die
This method sets the spot color.
setSpotColor(Color) - Method in class edu.ucla.stat.SOCR.util.Die
This method sets the spot color.
setStarts(double, double) - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
setStarts(int, int) - Method in class edu.ucla.stat.SOCR.util.Database
 
setState(int) - Method in class edu.uah.math.devices.UrnChain
This method sets the current state.
setState(int, int, int) - Method in class edu.ucla.stat.SOCR.util.Forest
This method sets the state of a specified tree.
setState(int, int, int) - Method in class edu.ucla.stat.SOCR.util.Voters
This method changes the state of a specified voter to a specified new state.
setStateColor(Color) - Method in class edu.uah.math.devices.UrnChain
This method sets the state color, the color of the current state.
setStates(int, int, int) - Method in class edu.uah.math.devices.Forest
This method sets the state of a specified tree.
setStates(int[][]) - Method in class edu.uah.math.devices.Forest
This method sets all of the states of the trees.
setStates(int, int, int) - Method in class edu.uah.math.devices.Voters
This method changes the state of a specified voter to a specified new state.
setStates(int[][]) - Method in class edu.uah.math.devices.Voters
This method sets the array of states.
setStatistics(double, double) - Method in class edu.uah.math.devices.BivariateScatterPlot
This method sets the statistics (slope and intercept) for the sample regression line.
setStatistics(double[]) - Method in class edu.uah.math.devices.ProbabilityPlot
This method sets the order statistics.
setStatistics(String) - Method in class edu.ucla.stat.SOCR.experiments.EstimateExperiment
This method adds text to the statistics table
setStatistics(double[]) - Method in class edu.ucla.stat.SOCR.util.ProbabilityPlot
This method sets the order statistics.
setStatistics(double[]) - Method in class edu.ucla.stat.SOCR.util.ProbabilityPlotGraph
This method sets the order statistics.
setStatisticsType(int) - Method in class edu.uah.math.devices.DataTable
This method specifies what moments to display (1 for mean and standard deviation, 2 for interval mean and standard deviation, 3 for the five number summary, 4 for the median and mean absolute deviation).
setStatisticsType(int) - Method in class edu.uah.math.devices.Histogram
This method specifies the summary statistics to display.
setStatisticsType(int) - Method in class edu.uah.math.devices.RandomVariableTable
This method specifies the statistics that are to be displayed in the table (none or mean, standard deviation).
setStats(boolean) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setStats(boolean[]) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setSteps(int) - Method in class edu.uah.math.devices.RandomWalkGraph
This method sets the time parameter.
setSteps(int) - Method in class edu.uah.math.distributions.DiscreteArcsineDistribution
This method sets the steps, the number of steps, and then defines the default domain.
setSteps(int) - Method in class edu.uah.math.distributions.WalkMaxDistribution
This method sets the time parameter.
setSteps(int) - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method sets the number of steps.
setSteps(int) - Method in class edu.ucla.stat.SOCR.distributions.WalkMaxDistribution
This method sets the time parameter.
setStepSize(double) - Method in class edu.uah.math.devices.Parameter
This method sets the step size of the parameter.
setStepSize(double) - Method in class edu.ucla.stat.SOCR.util.ParameterScrollbar
Set the step size
setStickColor(Color) - Method in class edu.uah.math.devices.Stick
This method sets the stick color.
setStopChoice(int) - Method in class edu.uah.math.experiments.Experiment
This method sets the stop-choice.
setStopChoiceTipText(String) - Method in class edu.uah.math.experiments.Experiment
This method sets the stop-choice.
setStopFreq(int) - Method in class edu.uah.math.experiments.Experiment
This method sets the stop frequency.
setStopFreq(int) - Method in class edu.ucla.stat.SOCR.applications.Application
 
setStopFreq(int) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
This method sets the stop frequency
setStopFreq(int) - Method in class edu.ucla.stat.SOCR.core.Experiment
This method sets the stop frequency
setStopFreq(int) - Method in interface edu.ucla.stat.SOCR.core.IExperiment
This method sets the stop frequency
setStopNow(boolean) - Method in class edu.uah.math.experiments.Experiment
This method defines the boolean variable that stops the process, when the simulation is in run mode.
setStopNow(boolean) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method defines the boolean variable that stops the analysis, when the process is in run mode
setStopNow(boolean) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method defines the boolean variable that stops the analysis, when the process is in run mode
setStopNow(boolean) - Method in class edu.ucla.stat.SOCR.applications.Application
 
setStopNow(boolean) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
This method defines the boolean variable that stops the process, when the simulation is in run mode
setStopNow(boolean) - Method in class edu.ucla.stat.SOCR.chart.Chart
This method defines the boolean variable that stops the process when the process is in run mode
setStopNow(boolean) - Method in class edu.ucla.stat.SOCR.core.Experiment
This method defines the boolean variable that stops the process, when the simulation is in run mode
setStopNow(boolean) - Method in interface edu.ucla.stat.SOCR.core.IExperiment
This method defines the boolean variable that stops the process, when the simulation is in run mode
setStringMapping(int, int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
setStrings(String, String) - Method in class edu.uah.math.devices.Parameter
This method sets the name and symbol.
setSuccesses(int) - Method in class edu.uah.math.devices.BetaGraph
This method sets the number of successes to a specified value.
setSuccesses() - Method in class edu.uah.math.devices.BetaGraph
This method sets the number of successes to a random value, as determined by the binomial distribution.
setSuccesses(int) - Method in class edu.uah.math.distributions.GeometricDistribution
This method ensures that the number of successes is set at 1.
setSuccesses(int) - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method set the successes parameter.
setSuccesses(int) - Method in class edu.ucla.stat.SOCR.distributions.GeometricDistribution
Override set successes
setSuccesses(int) - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Set the successes parameters
setSuit(int) - Method in class edu.uah.math.devices.Card
This method sets the suit of the card.
setSuits(int[]) - Method in class edu.uah.math.devices.CardHand
This method sets the array of suits.
setSuits(int, int) - Method in class edu.uah.math.devices.CardHand
This method sets the suit of an individual card.
setSymbol(String) - Method in class edu.uah.math.devices.Parameter
This method sets the symbol
setTabbedPaneComponent(int, JComponent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method sets a component in the tabbed panel to a specified new component.
setTabbedPaneComponent(int, JComponent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method sets a component in the tabbed panel to a specified new component.
setTabbedPaneComponent(int, JComponent) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
This method sets a component in the tabbed panel to a specified new component.
setTabbedPaneComponent(int, JComponent) - Method in class edu.ucla.stat.SOCR.chart.Chart
This method sets a component in the tabbed panel to a specified new component.
setTable(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
setTable(IntervalXYDataset, boolean) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
setTable(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
setTable(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
setTable(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
setTable(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
setTableModel(MotionTableModel) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
setTableModels() - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementPanel
Sets the table models for each provenance element.
setTablePane() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setTablePane() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
setTailColor(Color) - Method in class edu.uah.math.devices.Coin
This method sets the tail color.
setTailColor(Color) - Method in class edu.uah.math.devices.CoinBox
This method sets the tail color for all of the coins.
setTailColor(Color) - Method in class edu.ucla.stat.SOCR.util.Coin
This method sets the tail color
setTangent(boolean) - Method in class edu.ucla.stat.SOCR.applications.Application
 
setTangent(boolean) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
setTarget(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setTargetId(int) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setTestColor(Color) - Method in class edu.uah.math.devices.MeanTestGraph
This method sets the mean color.
setTestColor(Color) - Method in class edu.uah.math.devices.MedianGraph
This method sets the color for the test median.
setTestMean(double) - Method in class edu.uah.math.devices.MeanTestGraph
This method sets the test mean.
setTestMean(double) - Method in class edu.ucla.stat.SOCR.util.MeanTestGraph
This method sets the test mean.
setTestMedian(double) - Method in class edu.uah.math.devices.MedianGraph
This method sets the test median to a specified value.
setTestMedian(double) - Method in class edu.ucla.stat.SOCR.util.MedianGraph
This method sets the test median to a specified value.
setTestSD(double) - Method in class edu.uah.math.devices.VarianceTestGraph
This method sets the test standard deviation.
setTestStdDev(double) - Method in class edu.ucla.stat.SOCR.util.VarianceTestGraph
This method sets the test standard deviation.
setText() - Method in class edu.ucla.stat.SOCR.games.GaltonBoardGame
This method sets the text in the record table.
setText(String) - Method in class edu.ucla.stat.SOCR.util.AboutDialog
This method sets the message text.
setText(String) - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Specifies text that holds by this wrapper.
setTextAreaValue(double) - Method in class edu.ucla.stat.SOCR.util.FloatSlider
create a Continuous type valueSlider,
setTextAreaValue(double) - Method in class edu.ucla.stat.SOCR.util.FloatTextField
create a Continuous type valueSlider,
setTextColor(Color) - Method in class edu.uah.math.devices.Ball
This method sets the color of the text.
setTextColor(Color) - Method in class edu.uah.math.devices.Coin
This method sets the text color.
setTextColor(Color) - Method in class edu.uah.math.devices.CoinBox
This method sets the text color for all of the coins.
setTextColor(Color) - Method in class edu.uah.math.devices.Urn
This method sets the text color of all of the balls.
setTimerInterval() - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
setTitle(String) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setTitle(String) - Method in class edu.ucla.stat.SOCR.core.ComponentSetter
 
setTitle(String) - Method in class edu.ucla.stat.SOCR.core.ValueSetter
 
setTitle(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
setTitle(TextTitle) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Sets the main title for the chart and sends a ChartChangeEvent to all registered listeners.
setTitle(String) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChart
Sets the chart title and sends a ChartChangeEvent to all registered listeners.
setTitle(String) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
setTitle(String) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setTitle(String) - Method in class edu.ucla.stat.SOCR.util.ValueSlider
 
setTitle(String) - Method in class edu.ucla.stat.SOCR.util.ValueSliderFloat
 
setTossed(boolean) - Method in class edu.uah.math.devices.Coin
This method sets the state of the coin (tossed or untossed).
setTossed(boolean) - Method in class edu.uah.math.devices.CoinBox
This method sets the state of the all of the coins (tossed or untossed).
setTotal(int) - Method in class edu.uah.math.devices.CoinTossLLNGraph
This method sets the total number of experiments to be done.
setTotalFormatter(NumberFormat) - Method in class edu.ucla.stat.SOCR.chart.gui.ExtendedStackedBarRenderer
Sets the total formatter.
setTranslate(double) - Method in class edu.ucla.stat.SOCR.chart.data.SampleXYDataset
Sets the translation constant for the x-axis.
setTrials(int) - Method in class edu.uah.math.devices.BetaGraph
This method sets the number of trials.
setTrials(int) - Method in class edu.uah.math.distributions.BernoulliDistribution
This method sets the number of trials, which is always 1.
setTrials(int) - Method in class edu.uah.math.distributions.BinomialDistribution
This method sets the number of trails.
setTrials(int) - Method in class edu.ucla.stat.SOCR.distributions.BernoulliDistribution
This method overrides the corresponding method in BinomialDistribution so that the number of trials 1 cannot be changed
setTrials(int) - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
Set the number of trails
setTrials(int) - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Set the number of trails
setTriangleColor(Color) - Method in class edu.uah.math.devices.BertrandFloor
This method sets the color for the triangle.
setTwoModel(int, double[], double[], double[], double[]) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setTwoModel(int, double[], double[], double[], double[], Color, Color) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setType(int) - Method in class edu.ucla.stat.SOCR.util.DataGraph
This method sets the plot style
setType(int) - Method in class edu.ucla.stat.SOCR.util.Histogram
This method sets the plot style
setType(int) - Method in class edu.ucla.stat.SOCR.util.QuantileGraph
This method sets the graph type to show either the PDF or CDF.
setType(int) - Method in class edu.ucla.stat.SOCR.util.varHistogram
This method sets the plot style
setType1Size(int) - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method sets the number of type 1 elements
setType1Size(int) - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Set sub-population size
setType1Size(int) - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
Set sub-population size
setTypes(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setTypes(int, int[]) - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
setTypes(String) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setUnderColor(Color) - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
Set under color
setUnderColor(Color) - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Set under color.
setUpperBound(double) - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method sets the upper bound of the domain.
setUpperBound(double) - Method in class edu.uah.math.distributions.TriangleDistribution
This method sets the upper bound.
setUpperCritical(double) - Method in class edu.uah.math.devices.CriticalGraph
This method sets the upper critical value.
setUpperEstimate(double) - Method in class edu.uah.math.devices.MeanEstimateGraph
This method sets the upper estimate.
setUpperEstimate(double) - Method in class edu.uah.math.devices.VarianceEstimateGraph
This method sets the upper estimate.
setUpperLimit(int) - Method in class edu.ucla.loni.LOVE.colormap.BoundedColorMap
set upper limit
setUpperLimit(int) - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Set the upper limit.
setUpperLimit(double) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
setUpperTime(int) - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method sets the time parameter n.
setUpperValue(double) - Method in class edu.uah.math.distributions.FiniteDistribution
This method sets the upper value.
setupStockOptions() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
setupStockOptionsRec(int, double) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
setURL(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
setURL(String) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setValue(int) - Method in class edu.uah.math.devices.Ball
This method sets the ball to a specified value.
setValue(int) - Method in class edu.uah.math.devices.Card
This method sets the value (denomination) of the card
setValue(int) - Method in class edu.uah.math.devices.Coin
This method sets the coin to a specified value.
setValue(double) - Method in class edu.uah.math.devices.CriticalGraph
This method sets the value of the test statistic.
setValue() - Method in class edu.uah.math.devices.CriticalGraph
This emthod sets the value of the test statistic to a value simulated from the distribution.
setValue(int) - Method in class edu.uah.math.devices.Die
This method sets the value of the die to a specified value.
setValue(double) - Method in class edu.uah.math.devices.Parameter
This method sets the value of the parameter.
setValue(double) - Method in class edu.uah.math.distributions.Data
This method adds a new number to the data set and re-compute the mean, mean square, minimum and maximum values, and order statistics.
setValue(double) - Method in class edu.uah.math.distributions.IntervalData
This method adds a new number to the data set and re-computes the mean, mean square, minimum and maximum values, the frequency distribution, and the mode.
setValue(double) - Method in class edu.uah.math.distributions.RandomVariable
This method assigns a value to the random variable.
setValue(double) - Method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
setValue(double) - Method in class edu.ucla.stat.SOCR.core.ValueSetter
 
setValue(double) - Method in class edu.ucla.stat.SOCR.distributions.IntervalData
This method adds a new number to the data set and re-compute the mean, mean square, minimum and maximum values, the frequency distribution, and the mode
setValue(double) - Method in class edu.ucla.stat.SOCR.distributions.RandomVariable
Assign a value to the random variable
setValue(int) - Method in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
setValue(int) - Method in class edu.ucla.stat.SOCR.util.Ball
This method sets the ball to a specified value
setValue(int) - Method in class edu.ucla.stat.SOCR.util.BetaGraph
This method sets the number of successes to a specified value
setValue(int) - Method in class edu.ucla.stat.SOCR.util.Coin
This method sets the coin to a specified value
setValue(int) - Method in class edu.ucla.stat.SOCR.util.Die
This method sets the value of the die to a specified value
setValue(double) - Method in class edu.ucla.stat.SOCR.util.ValueSlider
 
setValue(double) - Method in class edu.ucla.stat.SOCR.util.ValueSliderFloat
 
setValueAt(Object, int, int) - Method in class edu.ucla.stat.SOCR.distributome.editor.ElementTableModel
Sets the value of the specified table cell.
setValueAt(Object, int, int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.FilteredTableModel
 
setValueAt(Object, int, int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
 
setValueColor(Color) - Method in class edu.uah.math.devices.CriticalGraph
This method sets the color for the value.
setValueDrawn(boolean) - Method in class edu.uah.math.devices.CriticalGraph
This method sets the boolean condition for drawing the empirical value.
setValues(int[]) - Method in class edu.uah.math.devices.CardHand
This method sets the array of values.
setValues(int, int) - Method in class edu.uah.math.devices.CardHand
This method sets the value of an individual coin.
setValues(int[]) - Method in class edu.uah.math.devices.CoinBox
This method sets the array of values.
setValues(int, int) - Method in class edu.uah.math.devices.CoinBox
This method sets the value of an individual coin.
setValues(double, double) - Method in class edu.uah.math.devices.CoinFloor
This method sets the center of the coin to specified values.
setValues() - Method in class edu.uah.math.devices.CoinFloor
This method sets the center of the coin to random values.
setValues(int[]) - Method in class edu.uah.math.devices.DiceBoard
This method sets the array of values.
setValues(int, int) - Method in class edu.uah.math.devices.DiceBoard
This method sets the value of an individual coin.
setValues(double, double) - Method in class edu.uah.math.devices.NeedleFloor
This method sets the distance and angle values of the needle to specified values.
setValues() - Method in class edu.uah.math.devices.NeedleFloor
This method sets the distance and angle values of the needle to random values.
setValues(int[]) - Method in class edu.uah.math.devices.Urn
This method sets the array of ball values.
setValues(int, int) - Method in class edu.uah.math.devices.Urn
This method sets the value of an individual ball.
setValues(double, double) - Method in class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
setValues(double, double) - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method sets the center of the coin to specified values
setValues() - Method in class edu.ucla.stat.SOCR.util.CoinFloor
This method sets the center of the coin to random values
setValues(double, double) - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
Set the distance and angle to specified values
setValues() - Method in class edu.ucla.stat.SOCR.util.NeedleFloor
Set the distance and angle to random values
setVariableNames(String[]) - Method in class edu.uah.math.devices.RecordTable
This method sets the string of variable names.
setVerticalAlign(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.wrappers.DefaultTextWrapper
Specifies the alignment of the wrapper's contents along the Y axis.
setView(String) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setVisible(boolean) - Method in class edu.ucla.stat.SOCR.gui.PipeDialog
 
setVisualizePanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
setVisualizePanel() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
setVisualizePanel() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
setVolumnInfo(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
setWalkShown(boolean) - Method in class edu.uah.math.devices.RandomWalkGraph
This method sets the boolean state for showing the random walk
setweight(double) - Method in class edu.ucla.stat.SOCR.chart.util.Module
 
setWidth(double) - Method in class edu.uah.math.devices.InteractiveHistogram
This method sets the width of the domain.
setWidth(int) - Method in class edu.uah.math.devices.Parameter
This method sets the width of the component in pixels
setWidth(double) - Method in class edu.uah.math.distributions.FiniteDistribution
This method sets the step size.
setWidth(double) - Method in class edu.ucla.stat.SOCR.util.InteractiveHistogram
This method sets the width of the domain.
setWidth(double) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
This method sets the width of the domain.
setWinnerTotal(int) - Method in class edu.uah.math.devices.BallotGraph
This method sets the total number of votes that the winner receives.
setX(double) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setXAxisColor(Color) - Method in class edu.uah.math.devices.ScatterPlot
This method sets the x-axis color.
setXaxisDec(int) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
setXAxisMapping(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
setXCenter(double) - Method in class edu.uah.math.devices.CoinFloor
This method sets the x-coordinate of the coin center.
setXCoordinate(double) - Method in class edu.uah.math.devices.BertrandFloor
This method sets the x-coordinate of the variable chord point to a specified value.
setXCoordinate() - Method in class edu.uah.math.devices.BertrandFloor
This method sets the x-coordinate of the variable chord point to a random value in (-1, 1).
setXdata2() - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
setXDomain(Domain) - Method in class edu.uah.math.devices.ScatterPlot
This method sets the domain of the x variable.
setXExtrema(float, float) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setXi(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
This method sets mean
setXi(double) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method sets mean
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo5
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperNormalDistributionChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
setXLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
setxMax(double) - Method in class edu.ucla.stat.SOCR.util.varHistogram
 
setxMin(double) - Method in class edu.ucla.stat.SOCR.util.varHistogram
 
setXMLInputString(String) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
setXMLOutputString(String) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
setXName(String) - Method in class edu.uah.math.devices.ScatterPlot
This method sets the name of the x variable.
setXRange(int, int) - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
set the X Range thumb can move
setXScale(int, boolean) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
setXSize(double) - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
setXSize(int) - Method in class edu.ucla.stat.SOCR.util.Database
 
setXStart(double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
setXStart(int, double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
setXSummary(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.Chart
setting the X summary for XY Dataset
setxy(float[]) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setXYArray() - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
 
setXYArray() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
setXYArray() - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
setXYZArray() - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
 
setY(double) - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
setYAxisColor(Color) - Method in class edu.uah.math.devices.ScatterPlot
This method sets the y-axis color.
setYAxisMapping(int) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
setYCenter(double) - Method in class edu.uah.math.devices.CoinFloor
This method sets the y coordinate of the coin center.
setYDomain(Domain) - Method in class edu.uah.math.devices.ScatterPlot
This method sets the domain of the y variable.
setYear(String) - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
setYExtrema(float, float) - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.demo.BoxAndWhiskerChartDemo2
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo5
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo7
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperNormalDistributionChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperValueChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperXYZChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
setYLabel(String) - Method in class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
setYMax(double) - Method in class edu.uah.math.devices.DistributionGraph
This method sets the maximum value for the vertical axis.
setyMax(double) - Method in class edu.ucla.stat.SOCR.util.varHistogram
 
setYName(String) - Method in class edu.uah.math.devices.ScatterPlot
This method sets the name of the y variable
setYRange(int, int) - Method in class edu.ucla.loni.LOVE.colormap.TriangleThumb
set the X Range thumb can move
setYScale(int) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
setYSize(double) - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
setYSize(int) - Method in class edu.ucla.stat.SOCR.util.Database
 
setYStart(double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussian
 
setYStart(int, double) - Method in class edu.ucla.stat.SOCR.chart.util.CurvedGaussMixture
 
setYSummary(XYDataset) - Method in class edu.ucla.stat.SOCR.chart.Chart
setting the Y summary for XYDatase
setZeta(double) - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
This method sets zeta
setZoomInIntervalData() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
setZoomOutIntervalData() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
SEVEN - Static variable in class edu.uah.math.experiments.CrapsExperiment
 
SEVEN - Static variable in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
shapeParamField - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
shapeParamField - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
shapeParamField - Variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
shapeParamField - Variable in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
shapeParamField - Variable in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
shapeParamField - Variable in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
shapeParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
shapeParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
shapeParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
shapeParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
shapeParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
shapeParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
shiftParamField - Variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
shiftParamField - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
shiftParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
shiftParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
shortToBytes(short) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Convert a short to an array of 2 bytes.
SHOW_ALL - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
SHOW_ALL - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
SHOW_STATUS_TEXTAREA - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
SHOW_STATUS_TEXTAREA - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
show_tangent - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
showAbout() - Method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
 
showAboutButtons - Variable in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
showBalls(int) - Method in class edu.ucla.stat.SOCR.util.Urn
This method shows a specified number of balls.
ShowBoth - Static variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
ShowBoth - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
showBoth(int) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
showCard(boolean) - Method in class edu.ucla.stat.SOCR.util.Card
This method determines if the front or back of the card is shown
showCards(int, boolean) - Method in class edu.ucla.stat.SOCR.util.Deck
This method shows or hides the cards.
ShowChildren - Static variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
ShowChildren - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
showChildren(int) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
showCoins(int) - Method in class edu.ucla.stat.SOCR.util.CoinBox
This method shows a specified number of the coins.
showData - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
showDice(int) - Method in class edu.ucla.stat.SOCR.util.DiceBoard
This method shows a specified number of the dice.
showError(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
 
showError(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
showError(String) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
showFlag - Variable in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
showGraph - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
showHighlightedOnlyChoice - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
showID - Variable in class edu.ucla.stat.SOCR.distributome.data.Edge
 
showID - Variable in class edu.ucla.stat.SOCR.distributome.data.Formula
 
showID - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
showID - Variable in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
showInput - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
showMapping - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
showMessageDialog(String) - Method in class edu.ucla.stat.SOCR.chart.Chart
make the content of the popup dialog highlightable
showMessageDialog(Component, String) - Static method in class edu.ucla.stat.SOCR.distributome.gui.SOCROptionPane
 
showMessageDialog(Component, String) - Static method in class edu.ucla.stat.SOCR.gui.SOCROptionPane
 
showModelDistribution - Variable in class edu.uah.math.devices.Graph
 
showModelDistribution - Variable in class edu.uah.math.experiments.Experiment
 
showModelDistribution - Variable in class edu.ucla.stat.SOCR.core.Experiment
 
showModelDistribution - Variable in class edu.ucla.stat.SOCR.util.Graph
 
showMoments(int) - Method in class edu.ucla.stat.SOCR.util.RandomVariableGraph
This method specifies the moments to display
showMoments(int) - Method in class edu.ucla.stat.SOCR.util.RandomVariableTable
Determine what moments to display
showNeighbor() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
showNodeUpdate() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
ShowParent - Static variable in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
ShowParent - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
showParents(int) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
showSelect - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
showSummaryStats(int) - Method in class edu.ucla.stat.SOCR.util.DataGraph
This method specifies the moments to display
showSummaryStats(int) - Method in class edu.ucla.stat.SOCR.util.DataTable
This method determines what moments to display
showSummaryStats(int) - Method in class edu.ucla.stat.SOCR.util.Histogram
This method specifies the moments to display
showSummaryStats(int) - Method in class edu.ucla.stat.SOCR.util.varHistogram
This method specifies the moments to display
showURL(String, String) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
showView() - Method in class edu.ucla.stat.SOCR.distributome.editor.DistributomeEditor
 
showVisualize - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
showWaitDialog() - Method in class edu.ucla.stat.SOCR.util.EnhancedExcelAdapter
 
sigma - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
sign(double) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
sign(double[]) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
sign(double) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
sign(double[]) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
SIGN_TEST_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
SIGN_TEST_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
SIGN_TEST_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
SIGNED_TEST_W_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
SIGNED_TEST_W_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
SIGNED_TEST_W_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
SIGNED_TEST_W_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
SIGNED_TEST_W_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
SIGNED_TEST_W_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
SIGNED_TEST_W_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
SIGNED_TEST_W_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
SIGNED_TEST_W_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
SIGNED_TEST_W_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
SIGNED_TEST_W_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
SIGNED_TEST_W_VAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
SIGNIFICANCE_LEVEL - Static variable in class edu.ucla.stat.SOCR.analyses.jri.data.Data
 
SIGNIFICANCE_LEVEL - Static variable in class edu.ucla.stat.SOCR.analyses.model.ChiSquareContingencyTable
 
SIGNIFICANCE_LEVEL - Static variable in class edu.ucla.stat.SOCR.analyses.model.DichotomousProportion
 
SIGNIFICANCE_LEVEL - Static variable in class edu.ucla.stat.SOCR.analyses.model.FisherExact
 
SignTestExperiment - Class in edu.uah.math.experiments
This class models the sign test experiment.
SignTestExperiment() - Constructor for class edu.uah.math.experiments.SignTestExperiment
 
SignTestExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the sign test experiment.
SignTestExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.SignTestExperiment
This method initializes the experiment.
SIMPLE_LINEAR_REGRESSION - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
SIMPLE_LINEAR_REGRESSION_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SIMPLE_LINEAR_REGRESSION_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SIMPLE_LINEAR_REGRESSION_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SIMPLE_LINEAR_REGRESSION_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SIMPLE_LINEAR_REGRESSION_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SIMPLE_LINEAR_REGRESSION_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SIMPLE_LINEAR_REGRESSION_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SimpleClassLoader - Class in edu.ucla.stat.SOCR.util
 
SimpleClassLoader(URL, ClassLoader) - Constructor for class edu.ucla.stat.SOCR.util.SimpleClassLoader
 
SimpleIntervalXYDataset - Class in edu.ucla.stat.SOCR.chart.data
A quick and dirty sample dataset.
SimpleIntervalXYDataset() - Constructor for class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
Creates a new dataset.
SimpleIntervalXYDataset(int, double[], double[], double[]) - Constructor for class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
 
SimpleIntervalXYDataset(int, double[], double[], int[]) - Constructor for class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset
 
SimpleIntervalXYDataset2 - Class in edu.ucla.stat.SOCR.chart.data
A quick and dirty sample dataset.
SimpleIntervalXYDataset2(int) - Constructor for class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
Creates a new dataset.
SimpleIntervalXYDataset2(int, double[], double[], double[]) - Constructor for class edu.ucla.stat.SOCR.chart.data.SimpleIntervalXYDataset2
 
SimpleLinearRegression - Class in edu.ucla.stat.SOCR.analyses.gui
this class is for Simple Linear Regression only.
SimpleLinearRegression() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
 
SimpleLinearRegression - Class in edu.ucla.stat.SOCR.analyses.jri.gui
this class is for Simple Linear Regression only.
SimpleLinearRegression() - Constructor for class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
 
SimpleLinearRegression - Class in edu.ucla.stat.SOCR.analyses.model
 
SimpleLinearRegression() - Constructor for class edu.ucla.stat.SOCR.analyses.model.SimpleLinearRegression
 
SimpleLinearRegressionExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
SimpleLinearRegressionExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.SimpleLinearRegressionExamples
Constructor method for simple data generation for regression/correlation tests
SimpleLinearRegressionExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.SimpleLinearRegressionExamples
Constructor method for sampel data for ANOVA analysis.
SimpleLinearRegressionResult - Class in edu.ucla.stat.SOCR.analyses.jri.result
 
SimpleLinearRegressionResult(HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
Constructors
SimpleLinearRegressionResult(HashMap<String, Object>, HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
SimpleLinearRegressionResult(String) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
SimpleLinearRegressionResult(Document) - Constructor for class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
SimpleLinearRegressionResult - Class in edu.ucla.stat.SOCR.analyses.result
 
SimpleLinearRegressionResult(HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
Constructors
SimpleLinearRegressionResult(HashMap<String, Object>, HashMap<String, Object>) - Constructor for class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
SimpleLinearRegressionResult(String) - Constructor for class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
SimpleLinearRegressionResult(Document) - Constructor for class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
simpleRandomRegression(int) - Static method in class edu.ucla.stat.SOCR.analyses.example.RandomExample
 
SimpleRegressionCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
SimpleRegressionCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.SimpleRegressionCSV
 
SimpleTableDemo - Class in edu.ucla.stat.SOCR.analyses.gui
 
SimpleTableDemo() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.SimpleTableDemo
 
simulate() - Method in class edu.uah.math.distributions.BinomialDistribution
This method simulates the a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method simulates a value from the distribution, by simulating a random number of Bernoulli trials and then computing the number of successes.
simulate() - Method in class edu.uah.math.distributions.BirthdayDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.ChiSquareDistribution
This method simulates a value from the distribuiton, as the sum of squares of independent, standard normal distribution.
simulate() - Method in class edu.uah.math.distributions.CircleDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method simulates a value from the convolution distribution by computing a sum of simulated values from the given distribuiton.
simulate() - Method in class edu.uah.math.distributions.CouponDistribution
This method simulates a value from the distribution, by sampling with replacement from the population until the specified number of distinct sample values is obtained.
simulate() - Method in class edu.uah.math.distributions.DiscreteArcsineDistribution
This method simulates a value from the distribution, by simulating a random walk on the interval and computing the time of the last zero.
simulate() - Method in class edu.uah.math.distributions.DiscreteUniformDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.Distribution
This method computes a default simulation of a value from the distribution, as a random quantile.
simulate() - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.FisherDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.GammaDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method simulate a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method returns a simulated value from the location-scale distribution in terms of the given distribution and the location and scale parameters.
simulate() - Method in class edu.uah.math.distributions.LogNormalDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.MatchDistribution
This method simulates a value from the distribution, by generating a random permutation and computing the number of matches.
simulate() - Method in class edu.uah.math.distributions.MixtureDistribution
This method simulates a value from the mixture distributions.
simulate() - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method simulates a value from the distribution, overriding the correspondin default method in Distribution.
simulate() - Method in class edu.uah.math.distributions.NormalDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.PoissonDistribution
This method simulates a value from the distribution, by simulating the number of arrivals in an interval of parameter length in a Poisson process with rate 1.
simulate() - Method in class edu.uah.math.distributions.RandomVariable
This method simulates a value of the probability distribution, assigns the value to the data distribution, and returns the value.
simulate() - Method in class edu.uah.math.distributions.StudentDistribution
This method simulates a value of the distribution.
simulate() - Method in class edu.uah.math.distributions.TriangleDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.WalkMaxDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.ucla.stat.SOCR.core.Distribution
This method computes a default simulation of a value from the distribution, as a random getQuantile.
simulate() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
Simulate the binomial distribution as the number of successes in n trials
simulate() - Method in class edu.ucla.stat.SOCR.distributions.BinomialRandomNDistribution
 
simulate() - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
This method simulates a value from the distribution, as the number of distinct sample values
simulate() - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
This method simulates a value from the distribuiton, as the sum of squares of independent, standard normal distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
This method simulates a value from the distribuiton, as the sum of squares of independent, standard normal distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.ucla.stat.SOCR.distributions.Convolution
Simulate a value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
Simulate a value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.DiscreteArcsineDistribution
This method simulates a value from the distribution, by simulating a random walk on the interval.
simulate() - Method in class edu.ucla.stat.SOCR.distributions.DiscreteUniformDistribution
 
simulate() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
This method simulates an Exponential variable
simulate() - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
This method simulates a value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
Simulate a value
simulate() - Method in class edu.ucla.stat.SOCR.distributions.GilbratsDistribution
This method simulates a value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
This method simulates a value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
Simulate a value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
This method simulates a value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
This method simulates a value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.LocationScaleDistribution
This method returns a simulated value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
This method simulates a value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.MatchDistribution
This method simulates a value from the distribution, by generating a random permutation and computing the number of matches
simulate() - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
This method simulates a value from the mixture distributions.
simulate() - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
Simulate a value
simulate() - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
This method simulates a value from the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.PointMassDistribution
 
simulate() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
Simulate a value
simulate() - Method in class edu.ucla.stat.SOCR.distributions.RandomVariable
Simulate a value of the probability distribution, assign the value to the data distribution and return the value
simulate() - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
This method simulates a value from the Rice distribution.
simulate() - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
This method simulates a value of the distribution
simulate() - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.ucla.stat.SOCR.distributions.WalkMaxDistribution
This method simulates a value from the distribution.
simulate() - Method in class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This method simulates a value from the distribution.
SINGLE_EDGE - Static variable in class edu.ucla.stat.SOCR.distributome.data.HighLightedType
 
SINGLE_GROUP_SIZE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
SINGLE_NODE - Static variable in class edu.ucla.stat.SOCR.distributome.data.HighLightedType
 
SIX - Static variable in class edu.uah.math.experiments.RouletteExperiment
 
SIX - Static variable in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
 
SIZE_LARGE_SAMPLE - Static variable in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
 
SIZE_LARGE_SAMPLE - Static variable in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentWilcoxon
 
SIZE_MULTIPLIER - Static variable in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
 
skip1024Base - Static variable in class edu.ucla.stat.SOCR.servlet.util.KeyUtil
 
skip1024Modulus - Static variable in class edu.ucla.stat.SOCR.servlet.util.KeyUtil
 
skip1024ModulusBytes - Static variable in class edu.ucla.stat.SOCR.servlet.util.KeyUtil
 
skipLeftButton - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
skipNextInputDataBuffer(int, int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
This method SKIPS in reading data from the bufferSize chunk of all input volumes
skipNextInputDataBuffer(int, int, int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
This method SKIPS in reading data from the bufferSize chunk of all input volumes
skipNextInputDataBuffer(int, int, int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
This method SKIPS in reading data from the bufferSize chunk of all input volumes
skipNextInputDataBuffer(int, int, int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
This method SKIPS in reading data from the bufferSize chunk of all input volumes
skipNextInputDataBuffer(int, int, boolean) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
This method SKIPS in reading data from the bufferSize chunk of all input volumes
skipRightButton - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
SLICE_SIZE - Static variable in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
SLIDER_SIZE_X - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
sliderPanel - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
sliderPanel2 - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
sliderSetted - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
sliderSetted - Variable in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
SLR_MEAN_X - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
SLR_MEAN_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
SLR_MEAN_Y - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
SLR_MEAN_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
SNAPSHOT - Static variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
SNAPSHOT - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
SNAPSHOT - Static variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
SNAPSHOT - Static variable in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
SNAPSHOT - Static variable in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
SNAPSHOT - Variable in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
SNAPSHOT - Variable in class edu.ucla.stat.SOCR.core.SOCRGames
 
SNAPSHOT - Static variable in class edu.ucla.stat.SOCR.core.SOCRJRIAnalyses
 
SOCR_EM_MixtureModelChartDemo - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a line chart using data from an XYDataset.
SOCR_EM_MixtureModelChartDemo() - Constructor for class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
SOCR_MixtureDistributionParametersDialog - Class in edu.uah.math.devices
This class is a special dialog box for entering (mean,SD, weight) parameters for the SOCR Mixture of Normals distribution.
SOCR_MixtureDistributionParametersDialog(Frame, String, double[][], String[], String[]) - Constructor for class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
This general constructor creates a new modal probability dialog with a specified frame owner, a specified title, and specified probabilities and values.
SOCR_MultiNomialDistributionParametersDialog - Class in edu.uah.math.devices
This class is a special dialog box for entering the event-probabilities and x-values for each Outcome (parameter-vectors) for the SOCR edu.ucla.stat.SOCR.distributions.MultiNomialDistribution distribution.
SOCR_MultiNomialDistributionParametersDialog(Frame, String, double[], int[], String[], String[]) - Constructor for class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
This general constructor creates a new modal probability dialog with a specified frame owner, a specified title, and specified probabilities and values.
SOCRAnalyses - Class in edu.ucla.stat.SOCR.core
 
SOCRAnalyses() - Constructor for class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
SOCRApplet - Class in edu.ucla.stat.SOCR.core
This is abstract JApplect which used for edu.ucla.stat.SOCR.
SOCRApplet() - Constructor for class edu.ucla.stat.SOCR.core.SOCRApplet
 
SOCRApplet.SOCRTextArea - Class in edu.ucla.stat.SOCR.core
 
SOCRApplet.SOCRTextArea() - Constructor for class edu.ucla.stat.SOCR.core.SOCRApplet.SOCRTextArea
 
SOCRApplet2 - Class in edu.ucla.stat.SOCR.core
This is abstract JApplect which used for edu.ucla.stat.SOCR.
SOCRApplet2() - Constructor for class edu.ucla.stat.SOCR.core.SOCRApplet2
 
SOCRApplet2.SOCRTextArea - Class in edu.ucla.stat.SOCR.core
 
SOCRApplet2.SOCRTextArea() - Constructor for class edu.ucla.stat.SOCR.core.SOCRApplet2.SOCRTextArea
 
SOCRApplet3 - Class in edu.ucla.stat.SOCR.core
This is abstract JApplect which used for edu.ucla.stat.SOCR.
SOCRApplet3() - Constructor for class edu.ucla.stat.SOCR.core.SOCRApplet3
 
SOCRApplet3.SOCRTextArea - Class in edu.ucla.stat.SOCR.core
 
SOCRApplet3.SOCRTextArea() - Constructor for class edu.ucla.stat.SOCR.core.SOCRApplet3.SOCRTextArea
 
SOCRApplications - Class in edu.ucla.stat.SOCR.core
 
SOCRApplications() - Constructor for class edu.ucla.stat.SOCR.core.SOCRApplications
 
SOCRCategoryCellLabelGenerator - Class in edu.ucla.stat.SOCR.chart.gui
 
SOCRCategoryCellLabelGenerator(CategoryDataset, String[][], int, int) - Constructor for class edu.ucla.stat.SOCR.chart.gui.SOCRCategoryCellLabelGenerator
 
SOCRCategorySeriesLabelGenerator - Class in edu.ucla.stat.SOCR.chart.gui
 
SOCRCategorySeriesLabelGenerator() - Constructor for class edu.ucla.stat.SOCR.chart.gui.SOCRCategorySeriesLabelGenerator
 
SOCRChart - Class in edu.ucla.stat.SOCR.core
 
SOCRChart() - Constructor for class edu.ucla.stat.SOCR.core.SOCRChart
 
SOCRChartPanel - Class in edu.ucla.stat.SOCR.chart.gui
 
SOCRChartPanel(JFreeChart, boolean) - Constructor for class edu.ucla.stat.SOCR.chart.gui.SOCRChartPanel
 
SOCRCodeBase - Class in edu.ucla.stat.SOCR.core
 
SOCRCodeBase() - Constructor for class edu.ucla.stat.SOCR.core.SOCRCodeBase
 
SOCRDistributionFunctors - Class in edu.ucla.stat.SOCR.core
This class implements the main interface for SOCRDistributions PDF/CDF/MGF's
SOCRDistributionFunctors() - Constructor for class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
SOCRDistributions - Class in edu.ucla.stat.SOCR.core
This class implements the main interface for SOCRDistributions
SOCRDistributions() - Constructor for class edu.ucla.stat.SOCR.core.SOCRDistributions
 
SOCRExperiments - Class in edu.ucla.stat.SOCR.core
this class is exemely similar to SOCRGames may should be subclassed
SOCRExperiments() - Constructor for class edu.ucla.stat.SOCR.core.SOCRExperiments
 
SOCRGames - Class in edu.ucla.stat.SOCR.core
 
SOCRGames() - Constructor for class edu.ucla.stat.SOCR.core.SOCRGames
 
SOCRJComboBox - Class in edu.ucla.stat.SOCR.core
helper class of SOCR project, it is a JComboBox intitiated items from a inputstream, and return a selected Item as the name of a classname.
SOCRJComboBox(InputStream) - Constructor for class edu.ucla.stat.SOCR.core.SOCRJComboBox
 
SOCRJRIAnalyses - Class in edu.ucla.stat.SOCR.core
 
SOCRJRIAnalyses() - Constructor for class edu.ucla.stat.SOCR.core.SOCRJRIAnalyses
 
SOCRJTable - Class in edu.ucla.stat.SOCR.util
 
SOCRJTable(DefaultTableModel) - Constructor for class edu.ucla.stat.SOCR.util.SOCRJTable
 
SOCRJTable(Object[][], String[]) - Constructor for class edu.ucla.stat.SOCR.util.SOCRJTable
 
SOCRLogoAnimator - Class in edu.ucla.stat.SOCR.util
 
SOCRLogoAnimator() - Constructor for class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
SOCRLogoAnimator(int, int, String, Dimension) - Constructor for class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
SOCRLogoApplet - Class in edu.ucla.stat.SOCR.util
Customizing an applet via HTML parameters.
SOCRLogoApplet() - Constructor for class edu.ucla.stat.SOCR.util.SOCRLogoApplet
 
SOCRModeler - Class in edu.ucla.stat.SOCR.core
This class implements the main interface for SOCRModeler
SOCRModeler() - Constructor for class edu.ucla.stat.SOCR.core.SOCRModeler
 
SOCRNode - Class in edu.ucla.stat.SOCR.distributome.data
 
SOCRNode() - Constructor for class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
SOCROptionPane - Class in edu.ucla.stat.SOCR.distributome.gui
 
SOCROptionPane() - Constructor for class edu.ucla.stat.SOCR.distributome.gui.SOCROptionPane
 
SOCROptionPane - Class in edu.ucla.stat.SOCR.gui
 
SOCROptionPane() - Constructor for class edu.ucla.stat.SOCR.gui.SOCROptionPane
 
SOCRPoint2D - Class in edu.ucla.stat.SOCR.analyses.gui
 
SOCRPoint2D() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
SOCRPoint2D(double, double) - Constructor for class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
SOCRPoint2D(SOCRPoint2D) - Constructor for class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
SOCRPoint2D(int) - Constructor for class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
SOCRPoint2D(int, double, double) - Constructor for class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
SOCRPoint2D(int, SOCRPoint2D) - Constructor for class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
SOCRPolarItemRenderer - Class in edu.ucla.stat.SOCR.chart.gui
 
SOCRPolarItemRenderer() - Constructor for class edu.ucla.stat.SOCR.chart.gui.SOCRPolarItemRenderer
 
SOCRSpiderWebPlot - Class in edu.ucla.stat.SOCR.chart.gui
 
SOCRSpiderWebPlot(CategoryDataset) - Constructor for class edu.ucla.stat.SOCR.chart.gui.SOCRSpiderWebPlot
 
SOCRValueSettable - Class in edu.ucla.stat.SOCR.core
 
SOCRValueSettable() - Constructor for class edu.ucla.stat.SOCR.core.SOCRValueSettable
 
SOCRXYSeriesLabelGenerator - Class in edu.ucla.stat.SOCR.chart.gui
 
SOCRXYSeriesLabelGenerator() - Constructor for class edu.ucla.stat.SOCR.chart.gui.SOCRXYSeriesLabelGenerator
 
SOCRXYZSeriesLabelGenerator - Class in edu.ucla.stat.SOCR.chart.gui
 
SOCRXYZSeriesLabelGenerator() - Constructor for class edu.ucla.stat.SOCR.chart.gui.SOCRXYZSeriesLabelGenerator
 
sort(double[]) - Static method in class edu.uah.math.distributions.Functions
This method sorts an array of doubles.
sort(int[]) - Static method in class edu.uah.math.distributions.Functions
This method sorts an array of integers.
sort(double[]) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method sorts an array of doubles.
sort(int[]) - Static method in class edu.ucla.stat.SOCR.distributions.Functions
This method sorts an array of integers.
sort() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
sort(double[]) - Method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
sort(DataCase[]) - Method in class edu.ucla.stat.SOCR.util.QSortAlgorithm
 
sort() - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Forces sorting of data contained in TableModelMapping.model.
sortableModel - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
sortColumn(int, boolean) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Sorts specified column ascending allowing to reset or keep all others columns' sort order.
sortColumn(int, int, boolean) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Sorts specified column using sortOrder and allowing to reset or keep all others columns' sort order.
SORTED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
SORTED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
Normal quantiles of the sorted residuals.
SORTED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
SORTED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
Normal quantiles of the sorted residuals.
SORTED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
SORTED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
SORTED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
SORTED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
SORTED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
 
SORTED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
Normal quantiles of the sorted residuals.
SORTED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
BEGIN RESIDUALS FROM MODELING RESULTS: MOSTLY FOR PLOTTING
SORTED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
PREDICTED double[] after being sorted ascendantly.
SORTED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
SORTED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
PREDICTED double[] after being sorted ascendantly.
SORTED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
SORTED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
BEGIN RESIDUALS FROM MODELING RESULTS: MOSTLY FOR PLOTTING
SORTED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
SORTED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
BEGIN RESIDUALS FROM MODELING RESULTS: MOSTLY FOR PLOTTING
SORTED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
BEGIN RESIDUALS FROM MODELING RESULTS: MOSTLY FOR PLOTTING
SORTED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
PREDICTED double[] after being sorted ascendantly.
SORTED_RESIDUALS_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
SORTED_RESIDUALS_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
The SORTED_RESIDUALS's mapping to the original index.
SORTED_RESIDUALS_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
SORTED_RESIDUALS_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
The SORTED_RESIDUALS's mapping to the original index.
SORTED_RESIDUALS_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
SORTED_RESIDUALS_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
SORTED_RESIDUALS_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
SORTED_RESIDUALS_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
SORTED_RESIDUALS_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
 
SORTED_RESIDUALS_INDEX - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
The SORTED_RESIDUALS's mapping to the original index.
SORTED_STANDARDIZED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
SORTED_STANDARDIZED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
SORTED_STANDARDIZED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
SORTED_STANDARDIZED_NORMAL_QUANTILES - Static variable in class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
 
SORTED_STANDARDIZED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
SORTED_STANDARDIZED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
SORTED_STANDARDIZED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.SimpleLinearRegressionResult
 
SORTED_STANDARDIZED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaOneWayResult
 
SORTED_STANDARDIZED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
SORTED_STANDARDIZED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
SORTED_STANDARDIZED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.ParametricTestResult
 
SORTED_STANDARDIZED_RESIDUALS - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
SortedColumnInfo - Class in edu.ucla.stat.SOCR.util.tablemodels
SortedColumnInfo class provides information about sorted column.
SortedColumnInfo(int, boolean) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.SortedColumnInfo
Creates SortedColumnInfo object with specified columnIndex and sort order.
SortedTableHeaderMouseListener - Class in edu.ucla.stat.SOCR.util.tablemodels
MouseListener that invokes sorting when a button is pressed on the column's header.
SortedTableHeaderMouseListener(JTable, SortedTableModel) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.SortedTableHeaderMouseListener
Creates SortedTableHeaderMouseListener object with specified JTable and SortedTableModel.
SortedTableHeaderRenderer - Class in edu.ucla.stat.SOCR.util.tablemodels
Renderer for table header.
SortedTableHeaderRenderer(JTable, SortedTableModel) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.SortedTableHeaderRenderer
Creates SortedTableHeaderRenderer object with specified JTable and SortedTableModel.
SortedTableModel - Class in edu.ucla.stat.SOCR.util.tablemodels
An AbstractTableModel implementation with sorting and multisorting support.
SortedTableModel(TableModel) - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
Creates SortedTableModel object with specified TableModel as the data source.
SortItem - Class in edu.ucla.stat.SOCR.util
A simple applet class to demonstrate a sort algorithm.
SortItem() - Constructor for class edu.ucla.stat.SOCR.util.SortItem
 
SortOrderConstants - Interface in edu.ucla.stat.SOCR.util.tablemodels
SortOrderConstants class specifies sort order constants for SortedTableModel
sourceDataLoaded(String, URI[]) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when a source has been decoded and its values have been copied into a translation.
sourceDataNotLoaded(Exception, String, URI[]) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when a source has not been decoded and its values were not copied into a translation.
sourceIdentified(String, URI[]) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when a source name has been identified.
sourceMisidentified(String, Exception, URI[]) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when a source is misidentified.
sourceNotIdentified(Exception, URI[]) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when a source name can not be identified.
SPADES - Static variable in class edu.uah.math.devices.Card
 
SPADES - Static variable in class edu.ucla.stat.SOCR.util.Card
 
SPECIAL_SPECTRAL - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Special Spectral colormap
specialCaseDensity_n_1(double) - Static method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
This method gets the special case of the density function for parameter n=1
SpecialSpectralColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a Spectral colormap
SpecialSpectralColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.SpecialSpectralColorMap
Default constructor
SpecialSpectralColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.SpecialSpectralColorMap
Constructor
SPECIALSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
SPECTRAL - Static variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Spectral colormap
SpectralColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
This is a Spectral colormap
SpectralColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.SpectralColorMap
Default constructor
SpectralColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.SpectralColorMap
Constructor
SpiderWebChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a spider chart.
SpiderWebChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.SpiderWebChartDemo1
 
spin() - Method in class edu.uah.math.devices.RouletteWheel
This method "spins" the wheel by selecting the score at ranom.
spin() - Method in class edu.uah.math.devices.Spinner
This method "spins" the spinner by computing a random angle and the value of a spin based on that angle.
spin() - Method in class edu.ucla.stat.SOCR.util.RouletteWheel
 
spin() - Method in class edu.ucla.stat.SOCR.util.Spinner
This method computes a random angle and the value of a spin based on that angle.
Spinner - Class in edu.uah.math.devices
This class models a simple spinner.
Spinner(double[], Color[]) - Constructor for class edu.uah.math.devices.Spinner
This general constructor creates a new spinner with a specified array of probabilities and a specified array of colors.
Spinner(double[]) - Constructor for class edu.uah.math.devices.Spinner
This special constructor creates a new spinner with a specified array of probabilities and a the default array of colors.
Spinner(int, Color[]) - Constructor for class edu.uah.math.devices.Spinner
This special constuctor creates a new spinner with a specified number of equal sized divisions and a specified array of colors.
Spinner(int) - Constructor for class edu.uah.math.devices.Spinner
This special constuctor creates a new spinner with a specified number of equal sized divisions and the default array of colors.
Spinner() - Constructor for class edu.uah.math.devices.Spinner
This default constructor creates a new spinner with four equal divisions.
Spinner - Class in edu.ucla.stat.SOCR.util
 
Spinner(int) - Constructor for class edu.ucla.stat.SOCR.util.Spinner
 
Spinner() - Constructor for class edu.ucla.stat.SOCR.util.Spinner
 
SpinnerExperiment - Class in edu.uah.math.experiments
This experiment spins a spinner (the number of divisions is specified by the user) and records the value of each spin.
SpinnerExperiment() - Constructor for class edu.uah.math.experiments.SpinnerExperiment
 
SpinnerExperiment - Class in edu.ucla.stat.SOCR.experiments
 
SpinnerExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.SpinnerExperiment
This method initializes the experiment
SplitMaskPositiveNegativeAnalysisResults - Class in edu.ucla.stat.SOCR.analyses.command
 
SplitMaskPositiveNegativeAnalysisResults() - Constructor for class edu.ucla.stat.SOCR.analyses.command.SplitMaskPositiveNegativeAnalysisResults
 
SQRT2PI - Static variable in class edu.uah.math.distributions.NormalDistribution
 
SQRTH - Static variable in class edu.ucla.stat.SOCR.util.BesselConstants
 
SQTPI - Static variable in class edu.ucla.stat.SOCR.util.BesselConstants
 
SSE() - Method in class edu.ucla.stat.SOCR.util.Anova
 
SSI(int) - Method in class edu.ucla.stat.SOCR.util.Anova
 
SSIJ(int) - Method in class edu.ucla.stat.SOCR.util.Anova
 
SSIJK() - Method in class edu.ucla.stat.SOCR.util.Anova
 
StackedAreaChartDemo - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a stacked area chart using data from a CategoryDataset.
StackedAreaChartDemo() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StackedAreaChartDemo
 
StackedBarChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a stacked bar chart using data from a CategoryDataset.
StackedBarChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo1
 
StackedBarChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a stacked bar chart using data from a CategoryDataset.
StackedBarChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo2
 
StackedBarChartDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a stacked bar chart using data from a CategoryDataset.
StackedBarChartDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo3
 
StackedBarChartDemo4 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a stacked bar chart using data from a CategoryDataset.
StackedBarChartDemo4() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StackedBarChartDemo4
 
StackedXYAreaChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
This demo shows the creation of a stacked XY area chart.
StackedXYAreaChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StackedXYAreaChartDemo1
 
StackedXYAreaChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A demo showing a stacked area chart created with the CategoryTableXYDataset.
StackedXYAreaChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StackedXYAreaChartDemo2
 
STANDARD - Static variable in class edu.uah.math.experiments.MontyHallExperiment
 
STANDARD - Static variable in class edu.uah.math.games.MontyHallGame
 
STANDARD - Static variable in class edu.ucla.stat.SOCR.experiments.MontyHallExperiment
 
STANDARD - Static variable in class edu.ucla.stat.SOCR.games.MontyHallGame
 
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
This method sets up the analysis protocol, when the applet starts
start - Variable in class edu.ucla.stat.SOCR.analyses.gui.ScatterPlotRange
 
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
This method sets up the analysis protocol, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
start() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
This method sets up the About dialog box
start() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet
 
start() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
start() - Method in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
start() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
start() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
start() - Method in class edu.ucla.stat.SOCR.core.WaveletLoader
 
start() - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
start() - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
applet
start() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
applet
start() - Method in class edu.ucla.stat.SOCR.experiments.SpinnerExperiment
This method sets up the probability dialog box, when the applet starts
start() - Method in class edu.ucla.stat.SOCR.gui.AnimatedSamplePane
 
start() - Method in class edu.ucla.stat.SOCR.util.SortItem
 
startAnimation() - Method in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
startElement(String, String, String, Attributes) - Method in class edu.ucla.stat.SOCR.distributome.xml.Distributome_XMLReader
 
startMainLoop() - Method in class edu.ucla.stat.SOCR.JRI.Rengine
if Rengine was initialized with runMainLoop=false then this method can be used to start the main loop at a later point.
stat - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
stat1TitleButton - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
stat2c - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
stat2TitleButton - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
stateChanged(ChangeEvent) - Method in class edu.uah.math.devices.Parameter
This method handles the events associated with changing the scrollbar.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.BallotExperiment
This method handles the scroll events associated with changing the vary the winner and loser counts.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method handles the scroll events for changing the probability of heads, the left and right beta parameters, and the number of heads.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.BetaEstimateExperiment
This method handles the scroll events for changing the beta parameter.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method handles the events associated with changes in the slider.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method handles the events associated with the sliders.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.BirthdayExperiment
This method handles the scrollbar events for adjusting the population size and sample size.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.BivariateNormalExperiment
This method handles the scrollbar events that occur when parameters are changed.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.BuffonCoinExperiment
This method handles the slider events associated with changes in the radius of the coin.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.BuffonNeedleExperiment
This method handles slider events associated with changes in the length of the needle.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.CardExperiment
This method handles scrollbar event associated with a change in the sample size.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
This method handles events associated with the slider that controls the sample size.and the slider that controls the significance level.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.CoinDieExperiment
This method handles events associated with the probability slider, which sets the probability of heads for the coin.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.CoinSampleExperiment
This method handles the slider events associated with changes in the number of coins and the probability of heads.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method handles the events associated with changes in the slider.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method handles the slider events associated with the population size (the number of cells), and the number of distinct values to be obtained..
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.DiceExperiment
This method handles the scroll events for the number of dice.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.DiceSampleExperiment
JSlider events: select the number of dice
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.DieCoinExperiment
This method handles the events associated with changes in the probability of heads.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.EstimateExperiment
This method handles the scrollbar event for changing the sample size.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.Experiment
JSlider events
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method handles the scrollbar events that correspond to varying the rate and the order of the arrival time.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This event handles the scroll events that correspond to changes in the parameters: the population size, the sample size, and the order.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.FireExperiment
This method handles the scrollbar events associated with changes in the fire-spread probabilities.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method handles the scroll events that adjust the number of trials and the probability of success.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.Game
 
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.GammaEstimateExperiment
This method handles the scroll events associated with changing the parameters of the gamma distribution.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.GammaExperiment
This method handles the scrollbar events that correspond to varying the rate and the order of the arrival time.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method handles the events associated with changes in the slider.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.MarkovChainExperiment
This method handles the scrollbar events for changing the number of states.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.MatchExperiment
The method handles the scrollbar events for adjusting the size of the random permutation.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.MeanEstimateExperiment
This method handles the scroll events associated with changing the distribution parameters.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.MeanTestExperiment
This method handles the scrollbar events associated with changes in the sample size, the distribution parameters, or the test mean.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.MontyHallExperiment
This method handles the scrollbar event for adjusting the probability of switching.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method handles the scrollbar events for changing the parameters of the experiment, the number of successes and the probability of success.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.NormalEstimateExperiment
This method handles the scroll events associated with changes in the parameters of the normal distribution.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.OrderStatisticExperiment
This method handles the scroll events that correspond to changing the sample size or the order.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.ParetoEstimateExperiment
This method handles the scroll events for changing the parameter.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.PointExperiment
This method handles the scrollbar events for adjusting the number of points needed by the two players, and the probability of winning a point.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.Poisson2DExperiment
This method handles the scrollbar events for changing the rate and width properties.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.PoissonExperiment
This method handles the scrollbar events for adjusting the size of the time interval and the rate of the Poisson process.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method handles the scrollbar events for adjusting the size of the interval, the rate of the process, and the probability of a type 1 arrival.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
This method handles the scroll events associated with changing the parameters of the sampling distribution or the sample size.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
This method handles the scroll events associated with changing the sample size or the success parameter.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.ProportionTestExperiment
This method handles the scroll events associated with changes in the sample size, the true value of the parameter and the hypothesized value of the parameter.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.QuantileApplet
This method handles events associated with changes in the distribution parameters.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.RandomVariableExperiment
This method handles the scrollbar events for changing the parameters of the selected distsribution.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.RandomWalkExperiment
This method handles the events associated with the time parameter scrollbar.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.RedBlackExperiment
This method handles the scroll events associated with a change in the initial fortune or a change in the probability of success.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.SampleMeanExperiment
This method handles the scroll events associated with changes in the sample size or the parameters of the sampling distribution.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method handles the scrollbar event for changing the sample size.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.SignTestExperiment
This method handles the scroll events associated with changes in the sample size or changes in the parameters of the sampling distribution.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.SpinnerExperiment
This method handles the slider events for the number of divisions.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.UniformEstimateExperiment
This method handles the scrollbar events that occur when the parameter is changed.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.UrnExperiment
This method handles the slider events associated with changing the parameters (the number of balls, the number of red balls, and the sample size).
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
This method handles the scroll events associated with changing the sample size or the distribution parameters.
stateChanged(ChangeEvent) - Method in class edu.uah.math.experiments.VarianceTestExperiment
This method handles the scroll events associated with a change in sample size or a change in the parameters of the distribution.
stateChanged(ChangeEvent) - Method in class edu.uah.math.games.ErrorGame
This method handles the scroll events associated with changing the width of the domain in the iterval dataset.
stateChanged(ChangeEvent) - Method in class edu.uah.math.games.Game
 
stateChanged(ChangeEvent) - Method in class edu.uah.math.games.HistogramGame
This method handles the scrollbar events that correspond to changing the width of the histogram.
stateChanged(ChangeEvent) - Method in class edu.uah.math.games.RedBlackGame
This method handles the scroll events associated with changing the initial fortune or the probability of success.
stateChanged(ChangeEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
stateChanged(ChangeEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionChartGUI
Invoked when the target of the listener has changed its state.
stateCount(int) - Method in class edu.ucla.stat.SOCR.util.Voters
This method returns the number of voters in a specified state.
statesAlive() - Method in class edu.ucla.stat.SOCR.util.Voters
This method returns the number of states alive.
StatisticalBarChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a "statistical" bar chart using data from a CategoryDataset.
StatisticalBarChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo1
 
StatisticalBarChartDemo1a - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a "statistical" bar chart using data from a CategoryDataset.
StatisticalBarChartDemo1a() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo1a
 
StatisticalBarChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a "statistical" bar chart using data from a CategoryDataset.
StatisticalBarChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo2
 
StatisticalBarChartDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a "statistical" bar chart using data from a CategoryDataset.
StatisticalBarChartDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StatisticalBarChartDemo3
 
StatisticalLineChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a "statistical" line chart using data from a CategoryDataset.
StatisticalLineChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo1
 
StatisticalLineChartDemo1a - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a "statistical" line chart using data from a CategoryDataset.
StatisticalLineChartDemo1a() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo1a
 
StatisticalLineChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a "statistical" line chart using data from a CategoryDataset.
StatisticalLineChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo2
 
StatisticalLineChartDemo3 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a "statistical" line chart using data from a CategoryDataset.
StatisticalLineChartDemo3() - Constructor for class edu.ucla.stat.SOCR.chart.demo.StatisticalLineChartDemo3
 
StatisticsTable - Class in edu.uah.math.devices
This class defines a simple table that displays values from a distribution, a data set, or both.
StatisticsTable(String, String[]) - Constructor for class edu.uah.math.devices.StatisticsTable
This general constructor creates a new statistics table with a specified variable name and array of parameter names.
StatisticsTable() - Constructor for class edu.uah.math.devices.StatisticsTable
This default constructor creates a new statistics table with name X, and with the parameters mean and SD.
statName1 - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
statName2 - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
stdevParamField - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
stdevParamField - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
stdevParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
stdevParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
stdExponential - Variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
stdGamma - Variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
stdLogistictExpCDF(double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This method computes the Standard LogLogit CDF function
stdLogistictExpPDF(double) - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
This method computes the Standard LogLogit Density function
stdNorm - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
stdResiduals - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
stdResiduals - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
step() - Method in class edu.uah.math.experiments.BallotExperiment
This method runs the the experiment one time, and getContentPane().add sounds depending on the outcome of the experiment.
step() - Method in class edu.uah.math.experiments.BertrandExperiment
This method runs the experiment one time.
step() - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method runs the experiment one time, with additional sound and annimation.
step() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method starts the step process.
step() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method runs the experiment one time, with additional annimation and sound.
step() - Method in class edu.uah.math.experiments.BirthdayExperiment
This method runs the experiment one time, with additional annimation and sound.
step() - Method in class edu.uah.math.experiments.BuffonCoinExperiment
This method peforms the experiment one time, and play sounds depending on the outcome.
step() - Method in class edu.uah.math.experiments.BuffonNeedleExperiment
This method runs the experiment one time and plays sounds depending on the outcome.
step() - Method in class edu.uah.math.experiments.CardExperiment
This method runs the experiment one time, with additional sound and annimation.
step() - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
This method runs the experiment one time and plays a sound depending on the outcome.
step() - Method in class edu.uah.math.experiments.ChuckALuckExperiment
This method runs the the experiment one time, and adds additional sound and annimation.
step() - Method in class edu.uah.math.experiments.CoinDieExperiment
This method runs the the experiment one time, and adds sounds depending on the outcome of the experiment.
step() - Method in class edu.uah.math.experiments.CoinSampleExperiment
This method runs the experiment one time, with additional annimation and sound.
step() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method starts the step process.
step() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method runs the experiment one time.
step() - Method in class edu.uah.math.experiments.CrapsExperiment
This method runs the the experiment one time, and adds sounds depending on the outcome of the experiment.
step() - Method in class edu.uah.math.experiments.DiceExperiment
This method runs the experiment one time, adding additional sound and annimation.
step() - Method in class edu.uah.math.experiments.DiceSampleExperiment
This method runs the experiment one time, with additional annimation and sound.
step() - Method in class edu.uah.math.experiments.DieCoinExperiment
This method runs the the experiment one time, and adds sounds and annimation, depending on the outcome of the experiment.
step() - Method in class edu.uah.math.experiments.Experiment
This method is the default step method, that runs the process one time unit.
step() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method starts the step timer and shows the experiment with additional annimation and sound.
step() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This method runs the experiment one time, with additional annimation and sound.
step() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method runs the experiment one time, by dropping the ball through the Galton board.
step() - Method in class edu.uah.math.experiments.GammaExperiment
This method starts the step timer and shows the experiment with additional annimation and sound.
step() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method starts the step process.
step() - Method in class edu.uah.math.experiments.MarkovChainExperiment
This method performs the next step in the process.
step() - Method in class edu.uah.math.experiments.MatchExperiment
This method runs the experiment one time, adding sounds and annimation.
step() - Method in class edu.uah.math.experiments.MeanEstimateExperiment
This method runs the experiment one time, and plays a sound depending on the outcome.
step() - Method in class edu.uah.math.experiments.MeanTestExperiment
This method runs the experiment one time, and plays a sound depending on the outcome.
step() - Method in class edu.uah.math.experiments.MontyHallExperiment
This method runs the experiment one time, adding sounds and delays.
step() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method starts the step timer and shows the experiment with additional annimation and sound.
step() - Method in class edu.uah.math.experiments.PointExperiment
This method runs the experiment one time with additional sound and annimation.
step() - Method in class edu.uah.math.experiments.PoissonExperiment
This method stops the run process, if necessary, and then starts the single step process.
step() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method stops the run process, if necessary, and then starts the single step process.
step() - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method runs the the experiment one time, adding additional sound and annimation.
step() - Method in class edu.uah.math.experiments.PokerExperiment
This method runs the the experiment one time, and adds additional sound and annimation.
step() - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
This method runs the experiment one time, playing a sound that depends on the outcome.
step() - Method in class edu.uah.math.experiments.ProportionTestExperiment
This method runs the experiment one time, playing a sound that depends on the outcome.
step() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method runs the experiment one time, adding additional annimation and sound.
step() - Method in class edu.uah.math.experiments.RouletteExperiment
This method runs the experiment one time and then plays a sound, depending on the outcome.
step() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method starts the step process.
step() - Method in class edu.uah.math.experiments.SignTestExperiment
This method runs the experiment one time, playing a sound that depends on the outcome.
step() - Method in class edu.uah.math.experiments.SpinnerExperiment
This method runs the experiment once, and shows the spinner spinning.
step() - Method in class edu.uah.math.experiments.TriangleExperiment
This method runs the the experiment one time, and adds sounds depending on the outcome of the experiment.
step() - Method in class edu.uah.math.experiments.UrnExperiment
This method runs the experiment one time, with additional annimation and sound..
step() - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
This method runs the experiment one time, playing a sound that depends on the outcome.
step() - Method in class edu.uah.math.experiments.VarianceTestExperiment
This method runs the experiment one time, playing a sound that depends on the outcome.
step() - Method in class edu.uah.math.experiments.VoterExperiment
This method runs the experiment one time, playing a note that depends on the new state of the voter.
step() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method is the default step method, that runs the analysis one time unit.
step() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method is the default step method, that runs the analysis one time unit.
step() - Method in class edu.ucla.stat.SOCR.applications.Application
 
step() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
This method is the default step method, that runs the process one time unit.
step() - Method in class edu.ucla.stat.SOCR.core.Experiment
This method is the default step method, that runs the process one time unit.
step() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
This method is the default step method, that runs the process one time unit.
step() - Method in class edu.ucla.stat.SOCR.experiments.BallotExperiment
This method runs the the experiment one time, and add sounds depending on the outcome of the experiment.
step() - Method in class edu.ucla.stat.SOCR.experiments.BertrandExperiment
Single step.
step() - Method in class edu.ucla.stat.SOCR.experiments.BirthdayExperiment
Single step the experiment
step() - Method in class edu.ucla.stat.SOCR.experiments.BuffonCoinExperiment
Peform the experiment one time, and play sounds depending on the outcome
step() - Method in class edu.ucla.stat.SOCR.experiments.BuffonNeedleExperiment
This method runs the experiment one time and plays sounds depending on the outcome
step() - Method in class edu.ucla.stat.SOCR.experiments.ChiSquareFitExperiment
 
step() - Method in class edu.ucla.stat.SOCR.experiments.ChuckALuckExperiment
This method runs the the experiment one time, and add sounds depending on the outcome of the experiment.
step() - Method in class edu.ucla.stat.SOCR.experiments.CoinDieExperiment
This method runs the the experiment one time, and add sounds depending on the outcome of the experiment.
step() - Method in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
This method runs the the experiment one time, and add sounds depending on the outcome of the experiment.
step() - Method in class edu.ucla.stat.SOCR.experiments.DieCoinExperiment
This method runs the the experiment one time, and add sounds depending on the outcome of the experiment.
step() - Method in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
This method runs the experiment one time, and plays a sound depending on the outcome.
step() - Method in class edu.ucla.stat.SOCR.experiments.MontyHallExperiment
This method runs the experiment one time, and plays a sound depending on the outcome
step() - Method in class edu.ucla.stat.SOCR.experiments.PointExperiment
This method runs the experiment one time and plays a sound depending on the outcome
step() - Method in class edu.ucla.stat.SOCR.experiments.PokerDiceExperiment
This method runs the the experiment one time, and add sounds depending on the outcome of the experiment.
step() - Method in class edu.ucla.stat.SOCR.experiments.PokerExperiment
This method runs the the experiment one time, and add sounds depending on the outcome of the experiment.
step() - Method in class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
This method runs the experiment one time, playing a sound that depends on the outcome.
step() - Method in class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
This method runs the experiment one time, playing a sound that depends on the outcome.
step() - Method in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
This method runs the experiment one time and then plays a sound, depending on the outcome.
step() - Method in class edu.ucla.stat.SOCR.experiments.SignTestExperiment
This method runs the experiment one time, playing a sound that depends on the outcome.
step() - Method in class edu.ucla.stat.SOCR.experiments.SpinnerExperiment
 
step() - Method in class edu.ucla.stat.SOCR.experiments.TriangleExperiment
This method runs the the experiment one time, and add sounds depending on the outcome of the experiment.
step() - Method in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
This method runs the experiment one time, playing a sound that depends on the outcome.
step_x - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
Stick - Class in edu.uah.math.devices
This class models a stick of unit length that can be broken in two pieces.
Stick() - Constructor for class edu.uah.math.devices.Stick
This general constructor creates a new stick object.
stirlingCorrection(int) - Static method in class edu.ucla.stat.SOCR.util.BesselArithmetic
Returns the StirlingCorrection.
STOCK2 - Static variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
STOCK3 - Static variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
STOCK4 - Static variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
STOCK5 - Static variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
StockApplication - Class in edu.ucla.stat.SOCR.applications.demo
The triangle experiment is to break a stick at random and see if the pieces form a triangle.
StockApplication() - Constructor for class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
StockOptionInfo - Class in edu.ucla.stat.SOCR.applications.demo
 
StockOptionInfo() - Constructor for class edu.ucla.stat.SOCR.applications.demo.StockOptionInfo
 
stockOptions - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
StockSimulationApplication - Class in edu.ucla.stat.SOCR.applications.demo
The triangle experiment is to break a stick at random and see if the pieces form a triangle.
StockSimulationApplication() - Constructor for class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
stop() - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method stops the step timer, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.BirthdayExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.CardExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.ChuckALuckExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.CoinDieExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.CoinSampleExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.CrapsExperiment
This method stops the experiment, by first stopping the step timer and then calling the usual stop method.
stop() - Method in class edu.uah.math.experiments.DiceExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.DiceSampleExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.DieCoinExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.Experiment
This method stops the simulation when the simulation is in run mode..
stop() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method stops the step timer, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method stops the experiment, by first stopping the step timer and then calling the usual stop method.
stop() - Method in class edu.uah.math.experiments.GammaExperiment
This method stops the step timer, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.MatchExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.MontyHallExperiment
This method stops the experiment, by first stopping the step timer if necessary and then calling the usual stop method.
stop() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method stops the step timer, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.PointExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.PoissonExperiment
This method stops the single step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method stops the single step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.PokerExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method stops the step process if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.RouletteExperiment
This method stops the experiment, by first stopping the step timer and then calling the usual stop method.
stop() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.uah.math.experiments.SpinnerExperiment
This method stops the experiment, by first stopping the step timer and then calling the usual stop method.
stop() - Method in class edu.uah.math.experiments.UrnExperiment
This method stops the step process, if necessary, and then calls the usual stop method.
stop() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method stops the analysis thread
stop() - Method in class edu.ucla.stat.SOCR.analyses.gui.ServletCaller
 
stop() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method stops the analysis thread
stop() - Method in class edu.ucla.stat.SOCR.applications.Application
 
stop() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
This method stops the simulation thread
stop() - Method in class edu.ucla.stat.SOCR.chart.Chart
This method stops the chart thread
stop() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
stop() - Method in class edu.ucla.stat.SOCR.core.Experiment
This method stops the simulation thread
stop() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
This method stops the simulation thread
stop() - Method in class edu.ucla.stat.SOCR.core.SOCRExperiments
 
stop() - Method in class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
 
stop() - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
applet
stop() - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
applet
stop() - Method in class edu.ucla.stat.SOCR.util.SortItem
Stop the applet.
stopAnimation() - Method in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
stopChoice - Variable in class edu.uah.math.experiments.Experiment
 
stopCount - Variable in class edu.uah.math.experiments.Experiment
 
stopFreq - Variable in class edu.uah.math.experiments.Experiment
 
stopNow - Variable in class edu.uah.math.experiments.Experiment
 
stopNow - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
stopNow - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
stopNow - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
string - Variable in class edu.ucla.stat.SOCR.motionchart.MotionKey
 
stringToRange(String) - Method in class edu.ucla.stat.SOCR.analyses.gui.ScatterPlotRange
 
STRSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
STUDENT - Static variable in class edu.uah.math.experiments.MeanEstimateExperiment
 
STUDENT - Static variable in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
 
StudentDistribution - Class in edu.uah.math.distributions
This class models the student t distribution with a specifed degrees of freeom parameter.
StudentDistribution(int) - Constructor for class edu.uah.math.distributions.StudentDistribution
This general constructor creates a new student distribution with a specified degrees of freedom.
StudentDistribution() - Constructor for class edu.uah.math.distributions.StudentDistribution
This default constructor creates a new student distribuion with 1 degree of freedom.
StudentDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Student T distribution with a specifed degrees of freedom parameter.
StudentDistribution(int) - Constructor for class edu.ucla.stat.SOCR.distributions.StudentDistribution
This general constructor creates a new student distribution with a specified degrees of freedom
StudentDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.StudentDistribution
This default constructor creates a new student distribuion with 1 degree of freedom
sub(int, int, int, int) - Method in class edu.ucla.stat.SOCR.util.Matrix
 
substringCheck - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
subtract(Matrix, Matrix) - Static method in class edu.ucla.stat.SOCR.util.Matrix
 
suitName - Static variable in class edu.uah.math.devices.Card
 
sum(double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
sum() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
SUM_SQUARES - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
Summary - Class in edu.ucla.stat.SOCR.chart.data
this class handles the summary calculation for different types of dataset
Summary(CategoryDataset) - Constructor for class edu.ucla.stat.SOCR.chart.data.Summary
calculate the statistical summary for the given dataset
Summary(PieDataset) - Constructor for class edu.ucla.stat.SOCR.chart.data.Summary
calculate the statistical summary for the given dataset
Summary(XYZDataset) - Constructor for class edu.ucla.stat.SOCR.chart.data.Summary
calculate the statistical summary for the given dataset
Summary(XYDataset) - Constructor for class edu.ucla.stat.SOCR.chart.data.Summary
calculate the statistical summary for the given dataset
Summary(CategoryDataset, String[][], int, int) - Constructor for class edu.ucla.stat.SOCR.chart.data.Summary
 
summaryPanel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
summaryStats - Variable in class edu.ucla.stat.SOCR.util.varHistogram
 
sumOfSquares(double[]) - Static method in class edu.ucla.stat.SOCR.analyses.model.Regression
 
sumOfSquares(double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
sumPossitiveIntegerSequenceFromOne(int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
sumPossitiveIntegerSequencePartial(int, int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
sumSquares() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
SuperAreaChart_XY - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a chart using XY dataset.
SuperAreaChart_XY() - Constructor for class edu.ucla.stat.SOCR.chart.SuperAreaChart_XY
 
SuperBoxAndWhiskerChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a BoxAndWhisker chart using Category dataset.
SuperBoxAndWhiskerChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
SuperBoxAndWhiskerChart_Vertical - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a BoxAndWhisker chart using Category dataset.
SuperBoxAndWhiskerChart_Vertical() - Constructor for class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart_Vertical
 
SuperCategoryChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a bar chart using category dataset.
SuperCategoryChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperCategoryChart
 
SuperCategoryChart_Bar - Class in edu.ucla.stat.SOCR.chart
 
SuperCategoryChart_Bar() - Constructor for class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Bar
 
SuperCategoryChart_Bar3D - Class in edu.ucla.stat.SOCR.chart
 
SuperCategoryChart_Bar3D() - Constructor for class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Bar3D
 
SuperCategoryChart_Stat - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a statistical bar chart.
SuperCategoryChart_Stat() - Constructor for class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat
 
SuperCategoryChart_Stat_Raw - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a statistical bar chart using category dataset.
SuperCategoryChart_Stat_Raw() - Constructor for class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
SuperCategoryChart_Stat_Raw_Vertical - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a statistical bar chart using category dataset.
SuperCategoryChart_Stat_Raw_Vertical() - Constructor for class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw_Vertical
 
SuperCategoryChart_StatA - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a statistical bar chart.
SuperCategoryChart_StatA() - Constructor for class edu.ucla.stat.SOCR.chart.SuperCategoryChart_StatA
 
SuperCategoryChart_vertical - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a bar chart using category dataset.
SuperCategoryChart_vertical() - Constructor for class edu.ucla.stat.SOCR.chart.SuperCategoryChart_vertical
 
SuperDotChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a bar chart.
SuperDotChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperDotChart
 
SuperHistogramChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a Bar chart using data from a IntervalXYDataset.
SuperHistogramChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
SuperIndexChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a bar chart.
SuperIndexChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperIndexChart
 
SuperIntervalXYChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a Bar chart using data from a IntervalXYDataset.
SuperIntervalXYChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart
 
SuperIntervalXYChart_Time - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a Bar chart using data from a IntervalXYDataset.
SuperIntervalXYChart_Time() - Constructor for class edu.ucla.stat.SOCR.chart.SuperIntervalXYChart_Time
 
SuperNormalDistributionChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a normal distribution chart.
SuperNormalDistributionChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperNormalDistributionChart
 
SuperPieChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a pie chart using data from a DefaultPieDataset.
SuperPieChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperPieChart
 
SuperPowerChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a bar chart.
SuperPowerChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
SuperValueChart - Class in edu.ucla.stat.SOCR.chart
for the chart has only a single value
SuperValueChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperValueChart
 
SuperXYChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a bar chart.
SuperXYChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperXYChart
 
SuperXYChart_QQ - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a QQ data vs normalized data chart.
SuperXYChart_QQ() - Constructor for class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ
 
SuperXYChart_QQ_DD - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a QQ data vs data chart.
SuperXYChart_QQ_DD() - Constructor for class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
SuperXYChart_Time - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a Line chart.
SuperXYChart_Time() - Constructor for class edu.ucla.stat.SOCR.chart.SuperXYChart_Time
 
SuperXYZChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a Bubble chart.
SuperXYZChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperXYZChart
 
SuperYIntervalChart - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a YInterval chart using data from a IntervalXYDataset.
SuperYIntervalChart() - Constructor for class edu.ucla.stat.SOCR.chart.SuperYIntervalChart
 
SuperYIntervalChartA - Class in edu.ucla.stat.SOCR.chart
A simple demonstration application showing how to create a YInterval chart using data from a IntervalXYDataset.
SuperYIntervalChartA() - Constructor for class edu.ucla.stat.SOCR.chart.SuperYIntervalChartA
 
Survival - Class in edu.ucla.stat.SOCR.analyses.gui
 
Survival() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.Survival
 
SURVIVAL - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
Survival - Class in edu.ucla.stat.SOCR.analyses.model
 
Survival(double[], byte[], String[]) - Constructor for class edu.ucla.stat.SOCR.analyses.model.Survival
 
SURVIVAL_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SURVIVAL_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SURVIVAL_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SURVIVAL_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SURVIVAL_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SURVIVAL_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SURVIVAL_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
SURVIVAL_AT_RISK - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SURVIVAL_CENSORED_RATE - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SURVIVAL_CENSORED_TIME - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SURVIVAL_GROUP_NAMES - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SURVIVAL_LIST_LENGTH - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
SURVIVAL_RATE - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SURVIVAL_RATE_LOWER_CI - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SURVIVAL_RATE_UPPER_CI - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SURVIVAL_SE - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SURVIVAL_TIME - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SURVIVAL_TIME_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SurvivalExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
SurvivalExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.SurvivalExamples
Constructor method for simple data generation for regression/correlation tests
SurvivalExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.SurvivalExamples
Constructor method for sampel data for ANOVA analysis.
SurvivalKaplanMeierExample - Class in edu.ucla.stat.SOCR.analyses.example
 
SurvivalKaplanMeierExample() - Constructor for class edu.ucla.stat.SOCR.analyses.example.SurvivalKaplanMeierExample
 
SurvivalList - Class in edu.ucla.stat.SOCR.analyses.data
 
SurvivalList(String) - Constructor for class edu.ucla.stat.SOCR.analyses.data.SurvivalList
 
SurvivalObject - Class in edu.ucla.stat.SOCR.analyses.data
 
SurvivalObject(double, byte, int) - Constructor for class edu.ucla.stat.SOCR.analyses.data.SurvivalObject
 
SurvivalResult - Class in edu.ucla.stat.SOCR.analyses.result
 
SurvivalResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
Constructors
SurvivalResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.SurvivalResult
 
SurvivalSingleList - Class in edu.ucla.stat.SOCR.analyses.data
 
SurvivalSingleList(String) - Constructor for class edu.ucla.stat.SOCR.analyses.data.SurvivalSingleList
 
swap(short) - Static method in class edu.ucla.stat.SOCR.analyses.command.SplitMaskPositiveNegativeAnalysisResults
Byte swap a single SHORT INT value.
swap(int) - Static method in class edu.ucla.stat.SOCR.analyses.command.SplitMaskPositiveNegativeAnalysisResults
Byte swap a single INTEGER value.
swap(long) - Static method in class edu.ucla.stat.SOCR.analyses.command.SplitMaskPositiveNegativeAnalysisResults
Byte swap a single LONG INTEGER value.
swap(float) - Static method in class edu.ucla.stat.SOCR.analyses.command.SplitMaskPositiveNegativeAnalysisResults
Byte swap a single FLOAT value.
swap(double) - Static method in class edu.ucla.stat.SOCR.analyses.command.SplitMaskPositiveNegativeAnalysisResults
Byte swap a single DOUBLE value.
swap(short) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
Byte swap a single SHORT INT value.
swap(int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
Byte swap a single INTEGER value.
swap(long) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
Byte swap a single LONG INTEGER value.
swap(float) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
Byte swap a single FLOAT value.
swap(double) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
Byte swap a single DOUBLE value.
swap(short) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
Byte swap a single SHORT INT value.
swap(int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
Byte swap a single INTEGER value.
swap(long) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
Byte swap a single LONG INTEGER value.
swap(float) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
Byte swap a single FLOAT value.
swap(double) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
Byte swap a single DOUBLE value.
swap(short) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
Byte swap a single SHORT INT value.
swap(int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
Byte swap a single INTEGER value.
swap(long) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
Byte swap a single LONG INTEGER value.
swap(float) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
Byte swap a single FLOAT value.
swap(double) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
Byte swap a single DOUBLE value.
swap(short) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
Byte swap a single SHORT INT value.
swap(int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
Byte swap a single INTEGER value.
swap(long) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
Byte swap a single LONG INTEGER value.
swap(float) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
Byte swap a single FLOAT value.
swap(double) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
Byte swap a single DOUBLE value.
swap(short) - Static method in class edu.ucla.stat.SOCR.analyses.command.VolumeMultipleRegression
Byte swap a single SHORT INT value.
swap(int) - Static method in class edu.ucla.stat.SOCR.analyses.command.VolumeMultipleRegression
Byte swap a single INTEGER value.
swap(long) - Static method in class edu.ucla.stat.SOCR.analyses.command.VolumeMultipleRegression
Byte swap a single LONG INTEGER value.
swap(float) - Static method in class edu.ucla.stat.SOCR.analyses.command.VolumeMultipleRegression
Byte swap a single FLOAT value.
swap(double) - Static method in class edu.ucla.stat.SOCR.analyses.command.VolumeMultipleRegression
Byte swap a single DOUBLE value.
swapChar(byte[], int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the char resulting from swapping 2 bytes at a specified offset in a byte array.
swapDouble(byte[], int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the double resulting from reversing 8 bytes at a specified offset in a byte array.
swapDouble(double) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the double resulting from reversing 8 bytes of a specified double.
swapFloat(byte[], int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the float resulting from reversing 4 bytes at a specified offset in a byte array.
swapFloat(float) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the float resulting from reversing 4 bytes of a specified float.
swapInt(byte[], int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the int resulting from reversing 4 bytes at a specified offset in a byte array.
swapInt(int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the int resulting from reversing 4 bytes of a specified int.
swapLong(byte[], int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the long resulting from reversing 8 bytes at a specified offset in a byte array.
swapLong(long) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the long resulting from reversing 8 bytes of a specified long.
swapShort(byte[], int) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the short resulting from swapping 2 bytes at a specified offset in a byte array.
swapShort(short) - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
Returns the short resulting from swapping 2 bytes of a specified short.
SymbolAxisDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to use the SymbolAxis class with an XYPlot.
SymbolAxisDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.SymbolAxisDemo1
 
SYMSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
syncData() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
syncMouseData() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 

T

t1_x - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
t1_y - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
t2_x - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
t2_y - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
T_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
T_STAT_POOLED - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
T_STAT_UNPOOLED - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
TABBED_PANE_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
TABBED_PANE_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
tabbedPaneCount - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
tabbedPaneCount - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
tabbedPaneCount - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.LogisticRegression
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.SimpleLinearRegression
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
tabbedPanelContainer - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
tableChanged(TableModelEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleTableDemo
 
tableChanged(TableModelEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionDataSet
This fine grain notification tells listeners the exact range of cells, rows, or columns that changed.
tableChanged(TableModelEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
This fine grain notification tells listeners the exact range of cells, rows, or columns that changed.
tableChanged(TableModelEvent) - Method in class edu.ucla.stat.SOCR.motionchart.MotionTableModel
 
tableChanged(TableModelEvent) - Method in class edu.ucla.stat.SOCR.util.RowHeaderTable
This fine grain notification tells listeners the exact range of cells, rows, or columns that changed.
tableChanged(TableModelEvent) - Method in class edu.ucla.stat.SOCR.util.tablemodels.FilteredTableModel
 
tableChanged(TableModelEvent) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
 
TableDemo - Class in edu.ucla.stat.SOCR.analyses.gui
TableDemo is just like SimpleTableDemo, except that it uses a custom TableModel.
TableDemo() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.TableDemo
 
tables - Variable in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
TAG_adjusted_r_squared - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_adjusted_r_squared - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_analysis_input - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
TAG_analysis_input - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
TAG_analysis_input - Static variable in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
TAG_analysis_model - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
TAG_analysis_model - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
TAG_analysis_model - Static variable in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
TAG_analysis_name - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
TAG_analysis_name - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
TAG_analysis_name - Static variable in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
TAG_analysis_output - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
FOR THE REMOTE SERVER VERSION
TAG_analysis_output - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
FOR THE REMOTE SERVER VERSION
TAG_coefficients - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_coefficients - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_cooks_distance - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_cooks_distance - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_data - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
TAG_data - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
TAG_data - Static variable in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
TAG_data_type - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
TAG_data_type - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
TAG_data_type - Static variable in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
TAG_data_value - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
TAG_data_value - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
TAG_data_value - Static variable in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
TAG_degrees_freedom - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_degrees_freedom - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_degrees_freedom_error - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_degrees_freedom_error - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_degrees_freedom_model - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_degrees_freedom_model - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_estimate - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_estimate - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_f_statistics - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_f_statistics - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_intercept - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_intercept - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_linear_regression_result - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_linear_regression_result - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_multiple_r_squared - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_multiple_r_squared - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_normal_scores - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_normal_scores - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_p_value - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_p_value - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_plot_data - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_plot_data - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_predicted - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_predicted - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
TAG_predicted - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_predictor - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_predictor - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_residual_standard_error - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_residual_standard_error - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_residuals - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_residuals - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_root_standardized_residuals - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_root_standardized_residuals - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_standard_error - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_standard_error - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_standardized_residuals - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_standardized_residuals - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_statistics - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_statistics - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_t_value - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_t_value - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_theoretical_quantiles - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_theoretical_quantiles - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_value - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_value - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_variable - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
TAG_variable - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
TAG_variable - Static variable in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
TAG_variable_name - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
TAG_variable_name - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
TAG_variable_name - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
TAG_variable_name - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
TAG_variable_name - Static variable in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
TAG_variable_type - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LinearModel
 
TAG_variable_type - Static variable in class edu.ucla.stat.SOCR.analyses.jri.xml.LogisticRegression
 
TAG_variable_type - Static variable in class edu.ucla.stat.SOCR.analyses.ri.LinearModel
 
TAG_z_value - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LogisticRegressionResult
 
TAILS - Static variable in class edu.uah.math.devices.Coin
 
takeSOCRDistributionButton - Variable in class edu.uah.math.experiments.SamplingDistributionExperiment
 
tally(float[], float[], int, int, int[], boolean) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentMainFrame
 
targetDataNotWritten(Exception, String) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when target data could not be written due to an unsuccessful translation.
targetDataWritten(String, String[]) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when a target has been written after a successful translation.
test(DataCase[], int, int, String, String) - Static method in class edu.ucla.stat.SOCR.analyses.model.TwoIndependentWilcoxon
 
TEST - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
test1 - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
test2 - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
TEST_API - Static variable in class edu.ucla.stat.SOCR.chart.Chart
 
Test_FDR - Class in edu.ucla.stat.SOCR.analyses.command.volume
 
Test_FDR() - Constructor for class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
FDR object constructor
TEST_MEAN - Static variable in class edu.ucla.stat.SOCR.analyses.model.OneT
 
testAction - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
testClass(String, String) - Method in class edu.ucla.stat.SOCR.util.ModelerPluginLoader
 
testClass(String, String) - Method in class edu.ucla.stat.SOCR.util.PluginLoader
 
testClass(String, String) - Method in class edu.ucla.stat.SOCR.util.WaveletPluginLoader
 
textChanged(DocumentEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
textColor - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
textColor - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
textColor - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
textEntry - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
textFont - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
textFont - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplet2
 
textFont - Static variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
texture - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
texture - Variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
thetaParamField - Variable in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
thetaParams - Variable in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
THIRD_QUARTILE_1 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
THIRD_QUARTILE_2 - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
thirdToolbar - Variable in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
thirdToolbar - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
THREE - Static variable in class edu.uah.math.experiments.RouletteExperiment
 
THREE - Static variable in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
 
ThreeColorMap - Class in edu.ucla.loni.LOVE.colormap.plugins
 
ThreeColorMap() - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.ThreeColorMap
Default constructor
ThreeColorMap(int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.plugins.ThreeColorMap
Constructor
ThreeDPie - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
time - Variable in class edu.uah.math.experiments.Experiment
 
TIME_SERIES_ARIMA - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
timeAt(int) - Method in class edu.ucla.stat.SOCR.util.Timeline
This method returns the time at a specified index
timeIndex - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
timeIndex - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
timeLabel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
Timeline - Class in edu.uah.math.devices
This class defines a simple timeline for displaying random points in time.
Timeline(Domain, String) - Constructor for class edu.uah.math.devices.Timeline
This general constructor creates a new timeline corresponding to a specified domain and a specified name for the underlying variable.
Timeline(Domain) - Constructor for class edu.uah.math.devices.Timeline
This special constructor creates a new timeline corresponding to a specified domain and the default name "x".
Timeline() - Constructor for class edu.uah.math.devices.Timeline
This default constructor creates a new timeline corresponding to the default domain (0, 1) (with step size 0.1), and with the default name "x".
Timeline - Class in edu.ucla.stat.SOCR.util
This class defines a simple timeline for displaying random points in time
Timeline(double, double, double, int) - Constructor for class edu.ucla.stat.SOCR.util.Timeline
The general constructor creates a new timeline corresponding to a specified domain
Timeline(double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.Timeline
This special constructor creates new timeline with a specified lower value, upper value, width, and integer format
Timeline(double, double) - Constructor for class edu.ucla.stat.SOCR.util.Timeline
This special constrcutor creates a new timeline with a specified lower and upper values, width 1 and integer format pattern
Timeline() - Constructor for class edu.ucla.stat.SOCR.util.Timeline
This default constructor creates a new timeline with lower value 0, uppervalue 10, width 1, and integer format pattern
timer - Variable in class edu.uah.math.experiments.Experiment
 
timer - Variable in class edu.ucla.stat.SOCR.motionchart.PlayerControl
 
TIMID_PLAY - Static variable in class edu.uah.math.experiments.RedBlackExperiment
 
TIMID_PLAY - Static variable in class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
 
title - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
title - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
title - Variable in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
title - Variable in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
titleHeight - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
tModel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
tModel - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
tModel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
tModel - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
tModel - Variable in class edu.ucla.stat.SOCR.core.SOCRAnalyses
 
tModel - Variable in class edu.ucla.stat.SOCR.core.SOCRApplications
 
tModel - Variable in class edu.ucla.stat.SOCR.core.SOCRChart
 
tModel - Variable in class edu.ucla.stat.SOCR.core.SOCRJRIAnalyses
 
tModel - Variable in class edu.ucla.stat.SOCR.util.RowHeaderTable
 
tmp_x - Variable in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
toDataCaseArray(double[]) - Static method in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
toggleCurrentCoordinate() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
toggleErrorLines() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
toggleParams(boolean) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
toggleRegressionLine() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
toHess() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
TOLERANCE - Static variable in class edu.ucla.stat.SOCR.analyses.gui.ScatterPlotRange
 
TOOL_BAR_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
TOOL_BAR_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
TOOL_PANEL_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
TOOL_PANEL_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
toolBar - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
toolBar - Variable in class edu.ucla.stat.SOCR.chart.demo.NoChart
 
toolbar - Variable in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
toolbar - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelSimple
 
toolbar2 - Variable in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
toolbars - Variable in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
toolIndex - Variable in class edu.uah.math.experiments.Experiment
 
tools1 - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
tools2 - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
tools3 - Variable in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
top - Variable in class edu.ucla.stat.SOCR.gui.GraphBase
 
TOP_RIGHT_PANE_HEIGHT - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
TOP_RIGHT_PANE_WIDTH - Static variable in class edu.ucla.stat.SOCR.modeler.ModelerDimension
 
topMargin - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
topMargin - Variable in class edu.ucla.stat.SOCR.util.Graph
 
topPercent - Class in edu.ucla.stat.SOCR.util
selects the top x% of an array
topPercent() - Constructor for class edu.ucla.stat.SOCR.util.topPercent
 
topPercent(double[], double) - Constructor for class edu.ucla.stat.SOCR.util.topPercent
 
topPercent(float[], float) - Constructor for class edu.ucla.stat.SOCR.util.topPercent
 
toss() - Method in class edu.uah.math.devices.Coin
This method sets the value to a random value, as determined by the probability of heads.
toss() - Method in class edu.uah.math.devices.CoinBox
This method tosses the coins, setting them to random values, as determined by the probability of heads for each coin.
toss() - Method in class edu.ucla.stat.SOCR.util.Coin
This method sets the value to a random value, as determined by the probability of heads.
toss(int) - Method in class edu.ucla.stat.SOCR.util.CoinBox
This method tosses the first n coins, setting them to random values, as determined by the probability of heads for each coin.
toss() - Method in class edu.ucla.stat.SOCR.util.CoinBox
This method tosses all of the coins.
toString() - Method in class edu.uah.math.distributions.BernoulliDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.BetaDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.BinomialDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.BinomialRandomNDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.BirthdayDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.CauchyDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.ChiSquareDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.CircleDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.ContinuousUniformDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.ConvolutionDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.CouponDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.DieDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.DiscreteArcsineDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.DiscreteUniformDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.Distribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.ExponentialDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.ExtremeValueDistribution
This method returns a string that gives the name of the distribution and the value of the type parameter.
toString() - Method in class edu.uah.math.distributions.FiniteDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.FiniteOrderStatisticDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.FisherDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.GammaDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.GeometricDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.HypergeometricDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.LocationScaleDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.LogisticDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.LogNormalDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.MatchDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.NegativeBinomialDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.NormalDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.OrderStatisticDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.ParetoDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.PoissonDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.StudentDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.TriangleDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.WalkMaxDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.WalkPositionDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.uah.math.distributions.WeibullDistribution
This method returns a string that gives the name of the distribution and the values of the parameters.
toString() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Get a String representation of the colormap
toString() - Method in class edu.ucla.stat.SOCR.analyses.gui.SOCRPoint2D
 
toString() - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
toString() - Method in class edu.ucla.stat.SOCR.chart.DemoDescription
Returns the class description.
toString() - Method in class edu.ucla.stat.SOCR.distributome.data.Edge
 
toString() - Method in class edu.ucla.stat.SOCR.distributome.data.Formula
 
toString() - Method in class edu.ucla.stat.SOCR.distributome.data.Reference
 
toString() - Method in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
toString() - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
toString() - Method in class edu.ucla.stat.SOCR.JRI.Mutex
 
toString() - Method in class edu.ucla.stat.SOCR.JRI.REXP
 
toString() - Method in class edu.ucla.stat.SOCR.JRI.RXP
 
toString() - Method in class edu.ucla.stat.SOCR.motionchart.MotionKey
 
toString(int) - Method in class edu.ucla.stat.SOCR.util.Matrix
 
toString() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
toString(int) - Method in class edu.ucla.stat.SOCR.util.Numeric
 
toTableModels(Node) - Method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
Converts the DOM Node to Table Models.
TOTAL - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
TOTAL_MEAN_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
totalImages - Variable in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
toXml(ElementTableModel[], ElementTableModel[], ElementTableModel[], ElementTableModel[]) - Static method in class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
Converts the Table Models to a XML-encoded string.
transform(double[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.Daubechies
 
transform(float[], int) - Static method in class edu.ucla.stat.SOCR.games.wavelet.Daubechies
 
transform(float[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.Daubechies
 
transform(double[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastCDF2_4
 
transform(float[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastCDF2_4
 
transform(float[], int) - Static method in class edu.ucla.stat.SOCR.games.wavelet.FastCDF2_4
 
transform(double[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastDaubechies2
 
transform(float[], int) - Static method in class edu.ucla.stat.SOCR.games.wavelet.FastDaubechies2
 
transform(float[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastDaubechies2
 
transform(float[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastHaar
Standard (Haar) transform
transform(double[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastHaar
Standard (Haar) transform using double
transform(double[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastSymmlet8
 
transform(float[], int) - Static method in class edu.ucla.stat.SOCR.games.wavelet.FastSymmlet8
 
transform(float[]) - Method in class edu.ucla.stat.SOCR.games.wavelet.FastSymmlet8
 
transformed_x - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
transformed_x - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
transformed_x - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
transformed_x - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
transformed_x - Variable in class edu.ucla.stat.SOCR.chart.SuperPowerChart
 
transformed_y - Variable in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
TransitionMatrixDialog - Class in edu.uah.math.devices
This class gives a tansition matrix dialog box that allows the user to specify the transition probabilities for a Markov chain.
TransitionMatrixDialog(Frame, int) - Constructor for class edu.uah.math.devices.TransitionMatrixDialog
This method creates a new Transition Matrix Dialog with a specified frame owner and a specified dimension.
translateShape(Ellipse2D.Double, XYPlot, Rectangle2D) - Method in class edu.ucla.stat.SOCR.motionchart.MotionBubbleRenderer
Translates the shape so that it displays correctly given the plot and dataArea.
translationGroupsFormed(int) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Called by a Source Translator when multiple sources have been separated into translation groups.
transpose() - Method in class edu.ucla.stat.SOCR.util.Matrix
 
treesBurnt() - Method in class edu.uah.math.devices.Forest
This method returns the number of burnt trees.
treesBurnt() - Method in class edu.ucla.stat.SOCR.util.Forest
This method returns the number of burnt trees.
treesGreen() - Method in class edu.ucla.stat.SOCR.util.Forest
This method returns the number of green trees.
treesHealthy() - Method in class edu.uah.math.devices.Forest
This method returns the number of green trees.
treesOnFire() - Method in class edu.uah.math.devices.Forest
This method returns the number of trees that are on fire.
treesOnFire() - Method in class edu.ucla.stat.SOCR.util.Forest
This method returns the number of trees that are on fire.
TreeTableCodec - Class in edu.ucla.stat.SOCR.distributome.editor
Codec for converting between trees and Table Models.
TreeTableCodec() - Constructor for class edu.ucla.stat.SOCR.distributome.editor.TreeTableCodec
Construct a Tree-Table Codec.
Triangle - Class in edu.ucla.stat.SOCR.util
This class models a stick of unit length that can be broken in two pieces.
Triangle() - Constructor for class edu.ucla.stat.SOCR.util.Triangle
This general constructor creates a new triangle object
TriangleDistribution - Class in edu.uah.math.distributions
This class models the triangle distribution on a specified interval.
TriangleDistribution(double, double, int) - Constructor for class edu.uah.math.distributions.TriangleDistribution
This general constructor creates a new triangle distribution on a specified interval and with a specified orientation.
TriangleDistribution() - Constructor for class edu.uah.math.distributions.TriangleDistribution
This default constructor creates a new triangle distribution on the interval (0, 1) with positive slope.
TriangleDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Triangular distribution on a specified interval.
TriangleDistribution(double, double, int) - Constructor for class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This general constructor creates a new triangle distribution on a specified interval and with a specified orientation.
TriangleDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.TriangleDistribution
This default constructor creates a new triangle distribution on the interval (0, 1) with positive slope
TriangleExperiment - Class in edu.uah.math.experiments
The triangle experiment is to break a stick at random and see if the pieces form an acute triangle, an obtuse triangle, or no triangle at all.
TriangleExperiment() - Constructor for class edu.uah.math.experiments.TriangleExperiment
 
TriangleExperiment - Class in edu.ucla.stat.SOCR.experiments
The triangle experiment is to break a stick at random and see if the pieces form a triangle.
TriangleExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.TriangleExperiment
This method initializes the experiment, including the toolbar, triangle, scatterplot, random variable graph and table
TriangleScatter - Class in edu.uah.math.devices
This class defines the specialized scatterplot for the triangle experiment.
TriangleScatter() - Constructor for class edu.uah.math.devices.TriangleScatter
This default constructor creates a new triangle scatterplot.
TriangleScatter - Class in edu.ucla.stat.SOCR.util
This class defines the specialized scatterplot for the triangle experiment
TriangleScatter() - Constructor for class edu.ucla.stat.SOCR.util.TriangleScatter
This default constructor creates a new triangle scatterplot
TriangleThumb - Class in edu.ucla.loni.LOVE.colormap
This is the triangle for color bar.
TriangleThumb() - Constructor for class edu.ucla.loni.LOVE.colormap.TriangleThumb
Default constructor.
TriangleThumb(int) - Constructor for class edu.ucla.loni.LOVE.colormap.TriangleThumb
 
TriangleThumb(int, int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.TriangleThumb
 
TriangleThumb(int, int, int, int) - Constructor for class edu.ucla.loni.LOVE.colormap.TriangleThumb
 
trimColumn - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
truncateArray(double[], int, int) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
truncateArray(double[], int, int) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
truncateDigits(double[][], int) - Static method in class edu.ucla.stat.SOCR.analyses.command.Utility
 
truncateDigits(double, int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
CODE EXAMPLE
truncateDigits(double[], int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
truncateDigits(double[][], int) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
truncateDigits(double[][], int) - Static method in class edu.ucla.stat.SOCR.util.Utility
 
tryLock() - Method in class edu.ucla.stat.SOCR.JRI.Mutex
attempts to lock the mutex and returns information about its success.
turnInteractionOff() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
turnInteractionOn() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
turnLegendPanelOff() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
turnLegendPanelOn() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
turnOnshowID() - Method in class edu.ucla.stat.SOCR.distributome.EditorApplet
 
turnRotateOff() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
turnRotateOn() - Method in class edu.ucla.stat.SOCR.chart.SuperPieChart
 
TWELVE - Static variable in class edu.uah.math.experiments.RouletteExperiment
 
TWELVE - Static variable in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
 
TWO - Static variable in class edu.uah.math.experiments.RouletteExperiment
 
TWO - Static variable in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
 
TWO_INDEPENDENT_FRIEDMAN - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
TWO_INDEPENDENT_FRIEDMAN_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_FRIEDMAN_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_KRUSKAL_WALLIS - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
TWO_INDEPENDENT_KW_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_KW_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_KW_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_KW_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_KW_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_KW_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_KW_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_T - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
TWO_INDEPENDENT_T_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_T_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_T_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_T_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_T_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_T_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_T_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_WILCOXON - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
TWO_INDEPENDENT_WILCOXON_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_WILCOXON_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_WILCOXON_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_WILCOXON_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_WILCOXON_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_WILCOXON_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_INDEPENDENT_WILCOXON_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_PAIRED_SIGN_TEST - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
TWO_PAIRED_SIGNED_RANK - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
TWO_PAIRED_T - Static variable in class edu.ucla.stat.SOCR.analyses.model.AnalysisType
 
TWO_PAIRED_T_1 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_PAIRED_T_2 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_PAIRED_T_3 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_PAIRED_T_4 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_PAIRED_T_5 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_PAIRED_T_6 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_PAIRED_T_7 - Static variable in class edu.ucla.stat.SOCR.analyses.example.ExampleData
 
TWO_SIDED - Static variable in class edu.uah.math.experiments.MeanTestExperiment
 
TWO_SIDED - Static variable in class edu.uah.math.experiments.ProportionTestExperiment
 
TWO_SIDED - Static variable in class edu.uah.math.experiments.VarianceTestExperiment
 
TWO_SIDED - Static variable in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
 
TWO_SIDED - Static variable in class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
 
TWO_SIDED - Static variable in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
 
TwoIndependentFriedman - Class in edu.ucla.stat.SOCR.analyses.model
 
TwoIndependentFriedman() - Constructor for class edu.ucla.stat.SOCR.analyses.model.TwoIndependentFriedman
 
TwoIndependentFriedmanCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
TwoIndependentFriedmanCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.TwoIndependentFriedmanCSV
 
TwoIndependentFriedmanExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
TwoIndependentFriedmanExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoIndependentFriedmanExamples
Constructor method for simple data generation for regression/correlation tests
TwoIndependentFriedmanExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoIndependentFriedmanExamples
Constructor method for sampel data for ANOVA analysis.
TwoIndependentFriedmanResult - Class in edu.ucla.stat.SOCR.analyses.result
 
TwoIndependentFriedmanResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
Constructors
TwoIndependentFriedmanResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoIndependentFriedmanResult
 
TwoIndependentKruskaCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
TwoIndependentKruskaCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.TwoIndependentKruskaCSV
 
TwoIndependentKruskalWalliesExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
TwoIndependentKruskalWalliesExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoIndependentKruskalWalliesExamples
Constructor method for simple data generation for regression/correlation tests
TwoIndependentKruskalWalliesExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoIndependentKruskalWalliesExamples
Constructor method for sampel data for ANOVA analysis.
TwoIndependentKruskalWallis - Class in edu.ucla.stat.SOCR.analyses.gui
this class is for Kruskal Wallis only.
TwoIndependentKruskalWallis() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
TwoIndependentKruskalWallis - Class in edu.ucla.stat.SOCR.analyses.model
 
TwoIndependentKruskalWallis() - Constructor for class edu.ucla.stat.SOCR.analyses.model.TwoIndependentKruskalWallis
 
TwoIndependentKruskalWallisCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
TwoIndependentKruskalWallisCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.TwoIndependentKruskalWallisCSV
 
TwoIndependentKruskalWallisResult - Class in edu.ucla.stat.SOCR.analyses.result
 
TwoIndependentKruskalWallisResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
Constructors
TwoIndependentKruskalWallisResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoIndependentKruskalWallisResult
 
TwoIndependentT - Class in edu.ucla.stat.SOCR.analyses.gui
Two Independent T Test
TwoIndependentT() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentT
 
TwoIndependentT - Class in edu.ucla.stat.SOCR.analyses.model
 
TwoIndependentT() - Constructor for class edu.ucla.stat.SOCR.analyses.model.TwoIndependentT
 
TwoIndependentTest - Class in edu.ucla.stat.SOCR.analyses.command
 
TwoIndependentTest() - Constructor for class edu.ucla.stat.SOCR.analyses.command.TwoIndependentTest
 
TwoIndependentTExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
TwoIndependentTExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoIndependentTExamples
Constructor method for simple data generation for regression/correlation tests
TwoIndependentTExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoIndependentTExamples
Constructor method for sampel data for ANOVA analysis.
TwoIndependentTPooled - Class in edu.ucla.stat.SOCR.analyses.gui
Two Independent T Test
TwoIndependentTPooled() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
 
TwoIndependentTResult - Class in edu.ucla.stat.SOCR.analyses.result
 
TwoIndependentTResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
Constructors
TwoIndependentTResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoIndependentTResult
 
TwoIndependentTUnpooled - Class in edu.ucla.stat.SOCR.analyses.gui
Two Independent T Test
TwoIndependentTUnpooled() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
 
TwoIndependentWilcoxon - Class in edu.ucla.stat.SOCR.analyses.gui
Two Independent T Test
TwoIndependentWilcoxon() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
 
TwoIndependentWilcoxon - Class in edu.ucla.stat.SOCR.analyses.model
 
TwoIndependentWilcoxon() - Constructor for class edu.ucla.stat.SOCR.analyses.model.TwoIndependentWilcoxon
 
TwoIndependentWilcoxonCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
TwoIndependentWilcoxonCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.TwoIndependentWilcoxonCSV
 
TwoIndependentWilcoxonExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
TwoIndependentWilcoxonExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoIndependentWilcoxonExamples
Constructor method for simple data generation for regression/correlation tests
TwoIndependentWilcoxonExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoIndependentWilcoxonExamples
Constructor method for sampel data for ANOVA analysis.
TwoIndependentWilcoxonResult - Class in edu.ucla.stat.SOCR.analyses.result
 
TwoIndependentWilcoxonResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
Constructors
TwoIndependentWilcoxonResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
TwoPairedSignedRank - Class in edu.ucla.stat.SOCR.analyses.gui
The Wilcoxon Signed-Rank Test for Paired Samples
TwoPairedSignedRank() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
 
TwoPairedSignedRank - Class in edu.ucla.stat.SOCR.analyses.model
 
TwoPairedSignedRank() - Constructor for class edu.ucla.stat.SOCR.analyses.model.TwoPairedSignedRank
 
TwoPairedSignedRankExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
TwoPairedSignedRankExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignedRankExamples
Constructor method for simple data generation for regression/correlation tests
TwoPairedSignedRankExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignedRankExamples
Constructor method for sampel data for ANOVA analysis.
TwoPairedSignedRankResult - Class in edu.ucla.stat.SOCR.analyses.result
 
TwoPairedSignedRankResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
TwoPairedSignedRankResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
TwoPairedSignedTestCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
TwoPairedSignedTestCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.TwoPairedSignedTestCSV
 
TwoPairedSignTest - Class in edu.ucla.stat.SOCR.analyses.gui
The Sign-Test for Paired Samples
TwoPairedSignTest() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
 
TwoPairedSignTestExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
TwoPairedSignTestExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignTestExamples
Constructor method for simple data generation for regression/correlation tests
TwoPairedSignTestExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoPairedSignTestExamples
Constructor method for sampel data for ANOVA analysis.
TwoPairedSignTestResult - Class in edu.ucla.stat.SOCR.analyses.result
 
TwoPairedSignTestResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignTestResult
 
TwoPairedSignTestResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignTestResult
 
TwoPairedT - Class in edu.ucla.stat.SOCR.analyses.gui
Two Paired Sample T Test
TwoPairedT() - Constructor for class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
 
TwoPairedT - Class in edu.ucla.stat.SOCR.analyses.model
 
TwoPairedT() - Constructor for class edu.ucla.stat.SOCR.analyses.model.TwoPairedT
 
TwoPairedTCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
TwoPairedTCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.TwoPairedTCSV
 
TwoPairedTExamples - Class in edu.ucla.stat.SOCR.analyses.example
Example data generator for ANOVA & other statistical applets.
TwoPairedTExamples() - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
Constructor method for simple data generation for regression/correlation tests
TwoPairedTExamples(int, int) - Constructor for class edu.ucla.stat.SOCR.analyses.example.TwoPairedTExamples
Constructor method for sampel data for ANOVA analysis.
TwoPairedTResult - Class in edu.ucla.stat.SOCR.analyses.result
 
TwoPairedTResult(HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
Constructors
TwoPairedTResult(HashMap, HashMap) - Constructor for class edu.ucla.stat.SOCR.analyses.result.TwoPairedTResult
 
TwoPairSignedRankCSV - Class in edu.ucla.stat.SOCR.analyses.command
 
TwoPairSignedRankCSV() - Constructor for class edu.ucla.stat.SOCR.analyses.command.TwoPairSignedRankCSV
 
TwoSidedPowerDistribution - Class in edu.ucla.stat.SOCR.distributions
A Java implementation of the (Two-Sided POwer (TSP) Distribution with specified: left, right, mean and power parameters http://www.springerlink.com/content/u71g0104356x70u1/ .
TwoSidedPowerDistribution(double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
 
TwoSidedPowerDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
Default constructor: creates a beta distribution with left and right parameters equal to 1
type - Variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
type - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
type - Variable in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
type - Variable in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
 
Type - Class in edu.ucla.stat.SOCR.distributome.data
 
Type(String[], String[]) - Constructor for class edu.ucla.stat.SOCR.distributome.data.Type
 
type - Variable in class edu.ucla.stat.SOCR.util.Mixture
 
type - Variable in class edu.ucla.stat.SOCR.util.varHistogram
 
typeCount - Variable in class edu.ucla.stat.SOCR.distributome.data.Type
 
typecurvedgauss - Variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
typecurvedgauss - Variable in class edu.ucla.stat.SOCR.util.Mixture
 
typegauss - Variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
typegauss - Variable in class edu.ucla.stat.SOCR.util.Mixture
 
typeline - Variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
typeline - Variable in class edu.ucla.stat.SOCR.util.Mixture
 
types_fullname - Variable in class edu.ucla.stat.SOCR.distributome.data.Type
 
types_shortname - Variable in class edu.ucla.stat.SOCR.distributome.data.Type
 
typescaleshift - Variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
typescaleshift - Variable in class edu.ucla.stat.SOCR.util.Mixture
 
typeuniform - Variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
typeuniform - Variable in class edu.ucla.stat.SOCR.util.Mixture
 

U

U_STAT_EXPECTATION_FORMULA - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
U_STAT_LARGE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
U_STAT_SMALL - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
U_STAT_VARIANCE_FORMULA - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
Uniform - Class in edu.ucla.stat.SOCR.chart.util
 
Uniform(double, double, double) - Constructor for class edu.ucla.stat.SOCR.chart.util.Uniform
 
Uniform - Class in edu.ucla.stat.SOCR.util
 
Uniform(int, int, double) - Constructor for class edu.ucla.stat.SOCR.util.Uniform
 
UNIFORM_ANGLE - Static variable in class edu.uah.math.devices.BertrandFloor
 
UNIFORM_ANGLE - Static variable in class edu.uah.math.experiments.BertrandExperiment
 
UNIFORM_ANGLE - Static variable in class edu.ucla.stat.SOCR.experiments.BertrandExperiment
 
UNIFORM_ANGLE - Static variable in class edu.ucla.stat.SOCR.util.BertrandFloor
 
UNIFORM_DISTANCE - Static variable in class edu.uah.math.devices.BertrandFloor
 
UNIFORM_DISTANCE - Static variable in class edu.uah.math.experiments.BertrandExperiment
 
UNIFORM_DISTANCE - Static variable in class edu.ucla.stat.SOCR.experiments.BertrandExperiment
 
UNIFORM_DISTANCE - Static variable in class edu.ucla.stat.SOCR.util.BertrandFloor
 
Uniform_E_EstimateExperiment - Class in edu.uah.math.experiments
This class models the point estimation problem associated with the Uniform distribuiton on the interval [0, 1].
Uniform_E_EstimateExperiment() - Constructor for class edu.uah.math.experiments.Uniform_E_EstimateExperiment
 
UNIFORM_POINT - Static variable in class edu.uah.math.devices.BertrandFloor
 
UNIFORM_POINT - Static variable in class edu.uah.math.experiments.BertrandExperiment
 
UniformEstimateExperiment - Class in edu.uah.math.experiments
This class models the point estimation problem associated with the uniform distribuiton on the interval [0, a].
UniformEstimateExperiment() - Constructor for class edu.uah.math.experiments.UniformEstimateExperiment
 
UniformEstimateExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the point estimation problem associated with the uniform distribuiton on the interval [0, a].
UniformEstimateExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.UniformEstimateExperiment
This method initializes the experiment by calling the initialization method in the superclass,and by setting up the toolbar containing the prameter scrollbar and label.
unlock() - Method in class edu.ucla.stat.SOCR.JRI.Mutex
unlocks the mutex.
UP - Static variable in class edu.uah.math.devices.Forest
 
UP - Static variable in class edu.uah.math.distributions.TriangleDistribution
 
UP - Static variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Orientation of the triangle
UP - Static variable in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
 
UP - Static variable in class edu.ucla.stat.SOCR.util.Forest
 
upContainer - Variable in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
upContainer - Variable in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
upContainer - Variable in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
upContainer - Variable in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
update() - Method in class edu.uah.math.experiments.BallotExperiment
This method updates the record table, the random variable graph and table, and the ballot graph.
update() - Method in class edu.uah.math.experiments.BertrandExperiment
This method updates the display, including the record table, floor, random variable graph and table.
update() - Method in class edu.uah.math.experiments.BetaCoinExperiment
This method updates the experiment, including the record table, statistics table, and beta graph.
update() - Method in class edu.uah.math.experiments.BetaEstimateExperiment
This method updates the experiment, including the record table, statistics table, and random variable graph.
update() - Method in class edu.uah.math.experiments.BinomialCoinExperiment
This method updates the experiment, including the coin box, the record table and the random variable and graph.
update() - Method in class edu.uah.math.experiments.BinomialTimelineExperiment
This method updates the experiment, including the timeline, record table, and the random variable graph and table.
update() - Method in class edu.uah.math.experiments.BirthdayExperiment
This method updates the display, including the ball, random variable graph and table and the record table.
update() - Method in class edu.uah.math.experiments.BivariateNormalExperiment
This method updates the experiment, including the random variable graphs, correlation table, and record table.
update() - Method in class edu.uah.math.experiments.BivariateUniformExperiment
This method updates the experiment, including the record table, random variable graphs and tables, correlation table.
update() - Method in class edu.uah.math.experiments.BuffonCoinExperiment
This method updates the display, including the floor, random variable graph and table, record table.
update() - Method in class edu.uah.math.experiments.BuffonNeedleExperiment
This method updates the displays, including the floor, the pi estimate graph, the corss event random variable, and the random variable table and graph, record table.
update() - Method in class edu.uah.math.experiments.CardExperiment
This method updates the display by showing the cards in the sample and updating the record text.
update() - Method in class edu.uah.math.experiments.ChiSquareFitExperiment
This method updates the display, includng the record table, the dice graph, the critical graph, the sample table, and the reject table.
update() - Method in class edu.uah.math.experiments.ChuckALuckExperiment
This method updates the display, including the dice board, the record table, the random variable graph and table.
update() - Method in class edu.uah.math.experiments.CoinDieExperiment
This method updates the display, including the coin, die, record table, and the random variable graph and table.
update() - Method in class edu.uah.math.experiments.CoinSampleExperiment
This method updates the display, including the coin box and record table.
update() - Method in class edu.uah.math.experiments.CoinTossLawOfLargeNumbersExperiment
This method updates the experiment, including the coin box, the record table and the random variable and graph.
update() - Method in class edu.uah.math.experiments.CouponCollectorExperiment
This method updates the display, including the cell grid, record table, and the random variable graph and table.
update() - Method in class edu.uah.math.experiments.CrapsExperiment
This method updates the display, including the dice board, record table, and the random variable graph and table.
update() - Method in class edu.uah.math.experiments.DiceExperiment
This method updates the display, including the record table, the dice, and the graph and table for the selected variable.
update() - Method in class edu.uah.math.experiments.DiceSampleExperiment
This method update the display, including the dice board and the record table.
update() - Method in class edu.uah.math.experiments.DieCoinExperiment
This method updates the display in run mode, including the die and coins, the record table, and the random variable graph and table.
update() - Method in class edu.uah.math.experiments.EstimateExperiment
This method updates the experiment, by updating the random variable graph.
update() - Method in class edu.uah.math.experiments.Experiment
This method is the default update method and defines how the display is updated.
update() - Method in class edu.uah.math.experiments.ExponentialTimesCarExperiment
This method updates the experiment, including the timeline, record table random variable graph and table.
update() - Method in class edu.uah.math.experiments.FiniteOrderStatisticExperiment
This method updates the experiment, including the ball panel, the random variable and graph, and the record table.
update() - Method in class edu.uah.math.experiments.FireExperiment
This method updates the experiment, including the forest and the update record.
update() - Method in class edu.uah.math.experiments.GaltonBoardExperiment
This method updates the display, including the Galton board, the record table, the random variable graph and table.
update() - Method in class edu.uah.math.experiments.GammaEstimateExperiment
This method updates the experiment, including the record table, the random variable graph and the statistics table.
update() - Method in class edu.uah.math.experiments.GammaExperiment
This method updates the display, including the timeline, record table, random variable graph and table.
update() - Method in class edu.uah.math.experiments.LLN_SimpleExperiment
This method updates the experiment, including the coin box, the record table and the random variable and graph.
update() - Method in class edu.uah.math.experiments.MarkovChainExperiment
This method updates the experiment, including the record table, Markov chain, histogram, and data table.
update() - Method in class edu.uah.math.experiments.MatchExperiment
This method updates the display, including the ball panel, the record table, and the random variable graph and table.
update() - Method in class edu.uah.math.experiments.MeanEstimateExperiment
This method updates the experiment, including the graphs and tables.
update() - Method in class edu.uah.math.experiments.MeanTestExperiment
This method updates the display, including the test graph, the standard score graph, the reject graph and table, the sample table, and the record table.
update() - Method in class edu.uah.math.experiments.MontyHallExperiment
This method updates the displays, including the record table, the doors, the random variable graph and table, and the record table.
update() - Method in class edu.uah.math.experiments.NegativeBinomialExperiment
This method updates the experiment, including the timeline, record table random variable graph and table.
update() - Method in class edu.uah.math.experiments.NormalEstimateExperiment
This method updates the display, including the random variable graph, record table and statistics table.
update() - Method in class edu.uah.math.experiments.OrderStatisticExperiment
This method updates the epxeriment, including the sample table, the record table, and the random variable graphs and table.
update() - Method in class edu.uah.math.experiments.ParetoEstimateExperiment
Thie method updates the experiment, including the record table, statistics table, and random variable graph.
update() - Method in class edu.uah.math.experiments.PointExperiment
This method updates the display, including the coins, the record table, and the random variable graph and table.
update() - Method in class edu.uah.math.experiments.Poisson2DExperiment
This method updates the experiment, including the scatterplot, record table, random variable graph and table.
update() - Method in class edu.uah.math.experiments.PoissonExperiment
This method updates the displays, including the timeline, record table, random variable graph and table.
update() - Method in class edu.uah.math.experiments.PoissonSplitExperiment
This method updates the displays, including the timeline, the random variable graphs and tables, and the record table.
update() - Method in class edu.uah.math.experiments.PokerDiceExperiment
This method updates the display, including the dice board, record table, and the graph and table for the hand type random variable.
update() - Method in class edu.uah.math.experiments.PokerExperiment
This method updates the display, including the cards, the random varaible graph and table, and the record table.
update() - Method in class edu.uah.math.experiments.ProbabilityPlotExperiment
This method updates the display, including the record table, the probability plot, the graph of the sampling distribution.
update() - Method in class edu.uah.math.experiments.ProportionEstimateExperiment
This method updates the experiment, including the estimate, standard score, and success graphs, the sample record, and success tables.
update() - Method in class edu.uah.math.experiments.ProportionTestExperiment
This method updates the experiment, including the test, standard score, and reject graphs, the sample, record, and reject tables.
update() - Method in class edu.uah.math.experiments.RandomVariableExperiment
This method updates the experiment, including the record table, random variable graph and table.
update() - Method in class edu.uah.math.experiments.RandomWalkExperiment
This method updates the experiment, including the random walk graph, the random variable table and graph, and the record table.
update() - Method in class edu.uah.math.experiments.RedBlackExperiment
This method updates the experiment, including the red-black graph, the success, number of trials graphs, and the record, success, and number of trials tables.
update() - Method in class edu.uah.math.experiments.RouletteExperiment
This method updates the experiment, including the roulette wheel, the record table and the random variable graph and table.
update() - Method in class edu.uah.math.experiments.SampleMeanExperiment
This method updates the display, including the table and graph of the sampling variable, the table and graph of the sample mean variable, the record table and the sample table.
update() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
This method updates the experiment, by updating the random variable graph.
update() - Method in class edu.uah.math.experiments.SignTestExperiment
This method updates the experiment, including the sample graph, the sign graph, the reject graph, sample table, the record table, and the reject table.
update() - Method in class edu.uah.math.experiments.SpinnerExperiment
This method updates the display, including the spinner, the record table, and the random variable graph and table.
update() - Method in class edu.uah.math.experiments.TriangleExperiment
This method updates the display, including the triangle, the random varible graph and table, and the record table.
update() - Method in class edu.uah.math.experiments.Uniform_E_EstimateExperiment
This method updates the experiment, including the record table, the statistic table, and the random variable graph.
update() - Method in class edu.uah.math.experiments.UniformEstimateExperiment
This method updates the experiment, including the record table, the statistic table, and the random variable graph.
update() - Method in class edu.uah.math.experiments.UrnExperiment
This method updates the display, including the urn, the random variable graph and table, and the record table.
update() - Method in class edu.uah.math.experiments.VarianceEstimateExperiment
This method updates the displays, including the estimate graph, the chi-square graph, the success graph, the sample table, the record table, and the success table.
update() - Method in class edu.uah.math.experiments.VarianceTestExperiment
This method updates the display, including the test, chi square and reject graphs, and the sample, record and reject tables.
update() - Method in class edu.uah.math.experiments.VoterExperiment
This method updates the display, including the voters and the record table.
update() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
This method is the default update method and defines how the display is updated.
update() - Method in class edu.ucla.stat.SOCR.analyses.gui.CategoricalAnalysis
This method updates the display, including the record table, the dice, and the graph and table for the selected variable
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
update(Graphics) - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
update() - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
This method is the default update method and defines how the display is updated.
update(int, double[][], double[][], double[]) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
update() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneral
 
update(int, double[][], double[][], double[]) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceCanvasGeneralBase
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
update() - Method in class edu.ucla.stat.SOCR.applications.Application
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
update() - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
This method is the default update method and defines how the display is updated.
update() - Method in class edu.ucla.stat.SOCR.applications.demo.BlackScholesApplication
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
This method is the default update method and defines how the display is updated.
update() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
This method is the default update method and defines how the display is updated.
update() - Method in class edu.ucla.stat.SOCR.applications.demo.PortfolioApplication2
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
This method is the default update method and defines how the display is updated.
update() - Method in class edu.ucla.stat.SOCR.applications.demo.StockApplication
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
This method is the default update method and defines how the display is updated.
update() - Method in class edu.ucla.stat.SOCR.applications.demo.StockSimulationApplication
 
update() - Method in class edu.ucla.stat.SOCR.chart.Chart
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformationFamilyChart
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformHistogramChart
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformQQNormalPlotChart
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.chart.demo.PowerTransformXYScatterChart
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.chart.SuperPowerChart
reset dataTable to default (demo data), and refesh chart
update() - Method in class edu.ucla.stat.SOCR.chart.util.MixtureEMExperiment
This method updates the display, including the ball panel, the record table, and the random variable graph and table
update() - Method in class edu.ucla.stat.SOCR.core.ComponentSetter
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
update() - Method in class edu.ucla.stat.SOCR.core.Experiment
This method is the default update method and defines how the display is updated.
update() - Method in interface edu.ucla.stat.SOCR.core.IExperiment
This method is the default update method and defines how the display is updated.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.core.MultiplePartsPanel
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.core.SOCRModeler
 
update() - Method in class edu.ucla.stat.SOCR.experiments.BallotExperiment
This method updates the record table, the random variable graph and table, and the ballot graph.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.BallotExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.BertrandExperiment
Update the display: record table, floor, random variable graph and table
update() - Method in class edu.ucla.stat.SOCR.experiments.BetaCoinExperiment
This method updates the experiment, including the record table, statistics table, and beta graph
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.BetaCoinExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.BetaEstimateExperiment
Thie method updates the experiment, including the record table, statistics table, and random variable graph
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.BetaEstimateExperiment
This method handles the scroll events for changing the beta parameter
update() - Method in class edu.ucla.stat.SOCR.experiments.BinomialCoinExperiment
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.BinomialCoinExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.BinomialTimelineExperiment
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.BinomialTimelineExperiment
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.BirthdayExperiment
Scrollbar events: change the population size or the sample size
update() - Method in class edu.ucla.stat.SOCR.experiments.BirthdayExperiment
Update graphs and tables
update() - Method in class edu.ucla.stat.SOCR.experiments.BivariateNormalExperiment
This method updates the experiment, including the random variable graphs, correlation table, and record table
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.BivariateNormalExperiment
This method handles the scrollbar events that occur when parameters are changed.
update() - Method in class edu.ucla.stat.SOCR.experiments.BivariateUniformExperiment
This method updates the experiment, including the record table, random variable graphs and tables, correlation table.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.BuffonCoinExperiment
Scrollbar event: change the radius of the coin
update() - Method in class edu.ucla.stat.SOCR.experiments.BuffonCoinExperiment
Update the display: floor, random variable graph and table, record table
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.BuffonNeedleExperiment
Scrollbar event: set the length of the needle
update() - Method in class edu.ucla.stat.SOCR.experiments.BuffonNeedleExperiment
Update the displays: floor, pi graph, random variable table and graph, record table
update() - Method in class edu.ucla.stat.SOCR.experiments.CardExperiment
Update the experiment: show the cards in the sample and update the record text
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.CardExperiment
Handle scrollbar event: select the sample size
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.ChiSquareFitExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.ChiSquareFitExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.ChuckALuckExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.CoinDieExperiment
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.CoinDieExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.CoinSampleExperiment
Update the experiment
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.CoinSampleExperiment
Scrollbar events: adjust parameters n and p
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
update() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
update() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentSimple
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.CouponCollectorExperiment
Scrollbar events: select the population size (the number of cells), and the number to be occuppied.
update() - Method in class edu.ucla.stat.SOCR.experiments.CouponCollectorExperiment
Update display
update() - Method in class edu.ucla.stat.SOCR.experiments.CrapsExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.DiceExperiment
This method updates the display, including the record table, the dice, and the graph and table for the selected variable
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.DiceExperiment
This method handles the scroll events for the number of dice
update() - Method in class edu.ucla.stat.SOCR.experiments.DiceSampleExperiment
Update the display
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.DiceSampleExperiment
Scrollbar events: select the number of dice
update() - Method in class edu.ucla.stat.SOCR.experiments.DieCoinExperiment
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.DieCoinExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.EstimateExperiment
This method updates the experiment.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.EstimateExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.ExponentialExperiment
This method updates the display, including the timeline, random variable graph and table, and the record table
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.ExponentialExperiment
This method handles the scrollbar events for adjusting the rate parameter of the exponential distribution
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.FiniteOrderStatisticExperiment
This event handles the scroll events that correspond to changes in the parameters: the population size, the sample size, and the order.
update() - Method in class edu.ucla.stat.SOCR.experiments.FiniteOrderStatisticExperiment
This method updates the experiment, including the ball panel, the random variable and graph, and the record table.
update() - Method in class edu.ucla.stat.SOCR.experiments.FireExperiment
This method updates the experiment, including the forest and the update record.
update() - Method in class edu.ucla.stat.SOCR.experiments.GaltonBoardExperiment
This method updates the display, including the Galton board, the record table, the random variable graph and table
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.GaltonBoardExperiment
This method handles the scroll events that adjust the number of trials and the probability of success
update() - Method in class edu.ucla.stat.SOCR.experiments.GammaEstimateExperiment
This method updates the experiment, including the record table, the random variable graph and the statistics table.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.GammaEstimateExperiment
This method handles the scroll events associated with changing the parameters of the gamma distribution.
update() - Method in class edu.ucla.stat.SOCR.experiments.GammaExperiment
This method updates the display, including the timeline, record table, random variable graph and table
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.GammaExperiment
This method handles the scrollbar events that correspond to varying the rate and the order of the arrival time
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.GeneralBirthdayExperiment
This method handles the scrollbar events for adjusting the population size and sample size.
update() - Method in class edu.ucla.stat.SOCR.experiments.GeneralBirthdayExperiment
This method updates the display, including the ball, random variable graph and table and the record table
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
This method handles the scroll events associated with changing the distribution parameters.
update() - Method in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
This method updates the experiment, including the graphs and tables.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
This method handles the scrollbar events associated with changes in the sample size, the distribution parameters, or the test mean.
update() - Method in class edu.ucla.stat.SOCR.experiments.MeanTestExperiment
This method updates the experiment.
update() - Method in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
This method updates the display, including the ball panel, the record table, and the random variable graph and table
update() - Method in class edu.ucla.stat.SOCR.experiments.MontyHallExperiment
This method updates the displays, including the record table, the doors, the random variable graph and table, and the record table
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.MontyHallExperiment
This method handles the scrollbar event for adjusting the probability of switching
update() - Method in class edu.ucla.stat.SOCR.experiments.NegativeBinomialExperiment
This method updates the experiment, including the timeline, record table random variable graph and table.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.NegativeBinomialExperiment
This method handles the scrollbar events for changing the parameters of the experiment, the number of successes and the probability of success.
update() - Method in class edu.ucla.stat.SOCR.experiments.NormalEstimateExperiment
This method updates the experiment, including the random variable graph, record table and statistics table.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.NormalEstimateExperiment
This method handles the scroll events associated with changes in the parameters of the normal distribution.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.OrderStatisticExperiment
This method handles the scroll events that correspond to changing the sample size or the order.
update() - Method in class edu.ucla.stat.SOCR.experiments.OrderStatisticExperiment
This method updates the epxeriment, including the sample table, the record table, and the random variable graphs and table.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.PointExperiment
This method handles the scrollbar events for adjusting the number of points needed by the two players, and the probability of winning a point
update() - Method in class edu.ucla.stat.SOCR.experiments.PointExperiment
This method updates the display, including the coins, the record table, and the random variable graph and table
update() - Method in class edu.ucla.stat.SOCR.experiments.Poisson2DExperiment
This method updates the experiment, including the scatterplot, record table, random variable graph and table.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.Poisson2DExperiment
This method hankdles the scrollbar events for changing the rate and width properties.
update() - Method in class edu.ucla.stat.SOCR.experiments.PoissonExperiment
This method updates the displays, including the timeline, record table, random variable graph and table
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.PoissonExperiment
This method handles the scrollbar events for adjusting the size of the time interval and the rate of the Poisson process
update() - Method in class edu.ucla.stat.SOCR.experiments.PoissonSplitExperiment
This method updates the displays, including the timeline, the random variable graphs and tables, and the record table
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.PoissonSplitExperiment
This method handles the scrollbar events for adjusting the size of the interval, the rate of the process, and the probability of a type 1 arrival
update() - Method in class edu.ucla.stat.SOCR.experiments.PokerDiceExperiment
Update the display
update() - Method in class edu.ucla.stat.SOCR.experiments.PokerExperiment
This method updates the display, including the cards, the random varaible graph and table, and the record table
update() - Method in class edu.ucla.stat.SOCR.experiments.ProbabilityPlotExperiment
This method updates the experiment.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.ProbabilityPlotExperiment
This method handles the scroll events associated with changing the parameters of the sampling distribution or the sample size.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.ProportionEstimateExperiment
This method handles the scroll events associated with changing the sample size or the success parameter.
update() - Method in class edu.ucla.stat.SOCR.experiments.ProportionEstimateExperiment
This method updates the experiment,
update() - Method in class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
This method updates the experiment.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.ProportionTestExperiment
This method handles the scroll events associated with changes in the sample size, the true value of the parameter and the hypothesized value of the parameter.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.RandomVariableExperiment
This method handles the scrollbar events for changing the parameters of the selected distsribution
update() - Method in class edu.ucla.stat.SOCR.experiments.RandomVariableExperiment
This method updates the experiment, including the record table, random variable graph and table
update() - Method in class edu.ucla.stat.SOCR.experiments.RandomWalkExperiment
This method updates the experiment, including the random walk graph, the random variable table and graph, and the record table.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.RandomWalkExperiment
This method handles the events associated with the time parameter scrollbar.
update() - Method in class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
This method updates the experiment.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.RedBlackExperiment
This method handles the scroll events associated with a change in the initial fortune or a change in the probability of success.
update() - Method in class edu.ucla.stat.SOCR.experiments.RouletteExperiment
This method updates the experiment, including the roulette wheel, the record table and the random variable graph and table.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.SampleMeanExperiment
This method handles the scroll events associated with changes in the sample size or the parameters of the sampling distribution.
update() - Method in class edu.ucla.stat.SOCR.experiments.SampleMeanExperiment
This method updates the experiment.
update() - Method in class edu.ucla.stat.SOCR.experiments.SignTestExperiment
This method updates the experiment.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.SignTestExperiment
This method handles the scroll events associated with changes in the sample size or changes in the parameters of the sampling distribution.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.SpinnerExperiment
This method controls the scrollbar for the number of divisions
update() - Method in class edu.ucla.stat.SOCR.experiments.SpinnerExperiment
This method updates the display as the experiment runs
update() - Method in class edu.ucla.stat.SOCR.experiments.TriangleExperiment
This method updates the display, including the triangle, the random varible graph and table, and the record table.
update() - Method in class edu.ucla.stat.SOCR.experiments.UniformEstimateExperiment
This method updates the experiment, including the record table, the statistic table, and the random variable graph.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.UniformEstimateExperiment
This method handles the scrollbar events that occur when the parameter is changed.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.UrnExperiment
 
update() - Method in class edu.ucla.stat.SOCR.experiments.UrnExperiment
 
update(int, double[][], double[][], double[]) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
update() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneral
 
update(int, double[][], double[][], double[]) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasGeneralBase
 
update(int, double[][], double[], double[]) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceCanvasSimple
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
This method handles the scroll events associated with changing the sample size or the distribution parameters.
update() - Method in class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
This method updates the displays.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
This method handles the scroll events associated with a change in sample size or a change in the parameters of the distribution.
update() - Method in class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
This method updates the graphs and tables.
update() - Method in class edu.ucla.stat.SOCR.experiments.VoterExperiment
This method updates the experiment, including the voters and the record table.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.games.ErrorGame
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.games.HistogramGame
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.games.RedBlackGame
This method handles the scroll events associated with changing the initial fortune or the probability of success.
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.games.WaveletGame.OB
 
update(Observable, Object) - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler.OB
 
update() - Method in class edu.ucla.stat.SOCR.motionchart.MotionMappingControl
 
update() - Method in class edu.ucla.stat.SOCR.util.DataTable
This method updates the table
update() - Method in class edu.ucla.stat.SOCR.util.Forest
This method updates the forest.
update() - Method in class edu.ucla.stat.SOCR.util.RandomVariableTable
Update the table
update(Graphics) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 
update(Graphics) - Method in class edu.ucla.stat.SOCR.util.SortItem
Update without erasing the background.
update() - Method in class edu.ucla.stat.SOCR.util.Voters
This method updates the voter canvas when voters have changed state.
updateAllNodes() - Method in class edu.ucla.stat.SOCR.applications.demo.BinomialTradingApplication
 
updateComponent(double, double, double) - Method in class edu.ucla.stat.SOCR.util.normComponent
 
updateCount - Variable in class edu.uah.math.experiments.Experiment
 
updateEStep() - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
updateExample(ExampleData) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
updateExample(ExampleData) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
updateExample(ChartExampleData) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
updateFreq - Variable in class edu.uah.math.experiments.Experiment
 
updateGame(Graphics) - Method in class edu.ucla.stat.SOCR.core.Game
 
updateGame(Graphics) - Method in class edu.ucla.stat.SOCR.games.FourierGame
 
updateGame(Graphics) - Method in class edu.ucla.stat.SOCR.games.WaveletGame
 
updateGraph(JComponent) - Method in class edu.ucla.stat.SOCR.applications.Application
 
updateInfoAreaUpper(URL, String) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
updateIntervalType(int, int, double[]) - Method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
 
updateIntervalType(Distribution, int, int, int) - Method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
 
updateJTable() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
updateKernels() - Method in class edu.ucla.stat.SOCR.chart.demo.SOCR_EM_MixtureModelChartDemo
 
updateMStep() - Method in class edu.ucla.stat.SOCR.util.normalMixture
 
updatePoints() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
updateProportion() - Method in class edu.ucla.stat.SOCR.experiments.ConfidenceIntervalExperimentGeneral
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaOneWay
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.AnovaTwoWay
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareContingencyTable
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.ChiSquareModelFit
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.DichotomousProportion
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.FisherExact
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.FlignerKilleen
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.Friedman
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.KolmogorovSmirnoff
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.MultiLinearRegression
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.NormalPower
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.OneT
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.SimpleLinearRegression
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.Survival
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentKruskalWallis
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTPooled
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentTUnpooled
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoIndependentWilcoxon
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignedRank
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedSignTest
 
updateResults() - Method in class edu.ucla.stat.SOCR.analyses.gui.TwoPairedT
 
updateSnapPoints() - Method in class edu.ucla.stat.SOCR.analyses.gui.RegressionScatterPlot
 
updateStatus() - Method in class edu.ucla.stat.SOCR.chart.Chart
update the content displayed in the right-buttom status panel
updateStatus(URL) - Method in class edu.ucla.stat.SOCR.chart.Chart
update the status panel's content using the given html page
updateStatus(String) - Method in class edu.ucla.stat.SOCR.chart.Chart
update the status panel's content with the provided message
updateStatus() - Method in class edu.ucla.stat.SOCR.core.SOCRApplications
updates the collected information of chart
updateStatus() - Method in class edu.ucla.stat.SOCR.core.SOCRChart
updates the collected information of chart
updateStatus() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributionFunctors
updates the collected information of distribution
updateStatus() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
updates the collected information of distribution
updateStatus() - Method in class edu.ucla.stat.SOCR.core.WaveletLoader
updates the collected information of distribution
updateSummaryStatsTables() - Method in class edu.uah.math.experiments.SamplingDistributionExperiment
 
updateUI() - Method in class edu.ucla.stat.SOCR.util.EditableHeader
 
updateUI() - Method in class edu.ucla.stat.SOCR.util.RowHeaderRenderer
 
UPPER_BOUND - Static variable in class edu.uah.math.experiments.MeanEstimateExperiment
 
UPPER_BOUND - Static variable in class edu.uah.math.experiments.ProportionEstimateExperiment
 
UPPER_BOUND - Static variable in class edu.uah.math.experiments.VarianceEstimateExperiment
 
UPPER_BOUND - Static variable in class edu.ucla.stat.SOCR.experiments.MeanEstimateExperiment
 
UPPER_BOUND - Static variable in class edu.ucla.stat.SOCR.experiments.ProportionEstimateExperiment
 
UPPER_BOUND - Static variable in class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
 
UPPER_P - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
UPPER_Q - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
upperBound - Variable in class edu.ucla.stat.SOCR.distributions.Domain
 
upperParamField - Variable in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
upperParamLabel - Variable in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
upperValue - Variable in class edu.ucla.stat.SOCR.distributions.Domain
 
UQuadraticDistr - Variable in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
UQuadraticDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Quadratic U distribution on a specified interval.
UQuadraticDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This general constructor creates a new uniform distribution on a specified interval.
UQuadraticDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This default constructor creates a new U Quadratic distribuiton on (0, 1).
UQuadraticDistribution(float[]) - Constructor for class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
This a constructor that creates a new U Quadratic distribuiton model based on an array of data.
UQuadraticFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
UQuadraticFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
UQuadraticFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
url - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
url - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
url - Variable in class edu.ucla.stat.SOCR.experiments.CardExperiment
 
urlPattern - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
Urn - Class in edu.uah.math.devices
This class is a container (actually a panel) that holds balls.
Urn(int, int, Color, Color) - Constructor for class edu.uah.math.devices.Urn
This general constructor creates a new urn with a specified number of balls of a specified preferred size and a specified ball color and text color The balls are added to the panel using a flow layout.
Urn(int, int) - Constructor for class edu.uah.math.devices.Urn
This special constructor creates a new urn with a specified number of balls of a specified preferred size, and with the default ball color red and text color white
Urn(int) - Constructor for class edu.uah.math.devices.Urn
This special constructor creates a new urn with a specified number of balls and with the default size 40 and color red.
Urn() - Constructor for class edu.uah.math.devices.Urn
This default constructor creates a new urn with 10 balls of default size and color.
Urn - Class in edu.ucla.stat.SOCR.util
This class is a container that holds balls.
Urn(int) - Constructor for class edu.ucla.stat.SOCR.util.Urn
This general constructor creates a new urn with a specified number of balls
Urn() - Constructor for class edu.ucla.stat.SOCR.util.Urn
This default constructor creates a new urn with balls.
UrnChain - Class in edu.uah.math.devices
This class models a Markov chain with states represented by ball objects.
UrnChain(int, double[][], String) - Constructor for class edu.uah.math.devices.UrnChain
This general constructor creates a new Markov chain with a specified number of states, a specified transition matrix, and a specified name.
UrnChain(int, double[][]) - Constructor for class edu.uah.math.devices.UrnChain
This special constructor creates a new Markov chain with a specified number of states, a specified transition matrix, and the default name "X".
UrnChain(int) - Constructor for class edu.uah.math.devices.UrnChain
 
UrnChain() - Constructor for class edu.uah.math.devices.UrnChain
 
UrnExperiment - Class in edu.uah.math.experiments
This class defines a basic experiment based on drawing balls from an urn.
UrnExperiment() - Constructor for class edu.uah.math.experiments.UrnExperiment
 
UrnExperiment - Class in edu.ucla.stat.SOCR.experiments
A basic experiment based on drawing balls from an urn
UrnExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.UrnExperiment
Initialize the experiment: tables, graphs, scrollbars, labels, drop-down box
usage() - Static method in class edu.ucla.stat.SOCR.core.CreateImplementationFile
 
usage() - Static method in class edu.ucla.stat.SOCR.core.CreateImplementedChartsFile
 
USE_SERVER - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
USE_SERVER - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
useDataPanel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
useGraph - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
useGraph - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
useGraphPanel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
useInitButton() - Method in class edu.ucla.stat.SOCR.core.Modeler
What is this method used for?
useInitButton() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.FourierFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.MixedFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
useInitButton() - Method in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
useInputExample - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
useInputExample - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
useLocalExample - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
useLocalExample - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
useMapPanel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
usemixPanel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
usePosNegX() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
usePosX() - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
USER_INPUT - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
USER_INPUT - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
useRandomExample - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
flags that controls the actions
useRandomExample - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
useRandomExample - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
userDataAction - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
userDataAction - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
userDataAction - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
useResultPanel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.BetaFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.BinomialFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.ChiFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.ChiSquareFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.ErlangFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.ErrorFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.ExponentialFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.FisherTippettFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.GammaFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.GeometricFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.GumbelFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.InverseGammaFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.InverseGaussianFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.LaplaceFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.LogarithmicSeriesFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.LogisticFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.LogNormalFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.NormalFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.ParetoFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.PoissonFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.PowerFunctionFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.RayleighFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.RiceFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.UQuadraticFit_Modeler
 
userParams - Variable in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
UserScatterPlot - Class in edu.uah.math.devices
This class models an interactive scatterplot.
UserScatterPlot(Domain, String, Domain, String) - Constructor for class edu.uah.math.devices.UserScatterPlot
This general constructor creates a new scatterplot correpsonding to specified domains and names.
UserScatterPlot(Domain, Domain) - Constructor for class edu.uah.math.devices.UserScatterPlot
This special constructor creates a new user scatterplot with spcified domains and default names "x" and "y".
UserScatterPlot(Domain, String, String) - Constructor for class edu.uah.math.devices.UserScatterPlot
This special constructur creates a new user scatterplot with common domain for the variables, and with specified names.
UserScatterPlot(Domain) - Constructor for class edu.uah.math.devices.UserScatterPlot
This special constructor creates a new user scatterplot with a specified common domain for the variables and with default names "x" and "y".
UserScatterPlot() - Constructor for class edu.uah.math.devices.UserScatterPlot
This default constructor creates a new user scatterplot with default common domain (0, 1) with step size 0.1, and with default names "x" and "y".
UserScatterPlot - Class in edu.ucla.stat.SOCR.util
This class models an interactive scatterplot
UserScatterPlot(double, double, double, double, double, double) - Constructor for class edu.ucla.stat.SOCR.util.UserScatterPlot
This general constructor creates a new user scatterplot correpsonding to specified intervals
useSelectPanel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
useServerExample - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
useServerExample - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
useStaticExample - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
useStaticExample - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
flags that controls the actions
useStaticExample - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
useVisualizePanel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
Utility - Class in edu.ucla.stat.SOCR.analyses.command
 
Utility() - Constructor for class edu.ucla.stat.SOCR.analyses.command.Utility
 
Utility - Class in edu.ucla.stat.SOCR.util
 
Utility() - Constructor for class edu.ucla.stat.SOCR.util.Utility
 

V

validate(InputStream) - Method in class edu.ucla.stat.SOCR.distributome.editor.XmlValidator
Validates the encoded XML in the input stream.
value - Variable in class edu.ucla.stat.SOCR.analyses.data.DataCase
 
value - Variable in class edu.ucla.stat.SOCR.util.Numeric
 
VALUE_COLUMN_NAME - Static variable in class edu.ucla.stat.SOCR.core.ModelerGui
This method initializes the experiment
VALUE_COUNT - Variable in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
VALUE_COUNT - Variable in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
VALUE_COUNT - Variable in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
VALUE_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.DichotomousProportionResult
 
valueChanged(TreeSelectionEvent) - Method in class edu.ucla.stat.SOCR.chart.ChartTree
Receives notification of tree selection events and updates the demo display accordingly.
valueChanged() - Method in class edu.ucla.stat.SOCR.core.Distribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.core.Distribution
 
valueChanged(TreeSelectionEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRApplications
 
valueChanged(TreeSelectionEvent) - Method in class edu.ucla.stat.SOCR.core.SOCRChart
 
valueChanged() - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.core.SOCRDistributions
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.AndersonDarlingDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.ArcSineDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.BenfordDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.BernoulliDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.BetaBinomialDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.BetaDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.BetaGeneralDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.BinomialDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.BirthdayDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.ChiDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.ChiSquareDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.CircleDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.ContinuousUniformDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.CouponDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.DieDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.DieDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.DiscreteArcsineDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.DiscreteUniformDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.ErlangDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.ErrorDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.ExponentialDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.FiniteDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.FisherDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.FisherTippettDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.GammaDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.GeneralCauchyDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.GeneralizedExtremeValueDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.GeometricDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.GompertzDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.GumbelDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.HalfNormalDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.HypergeometricDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.InverseGammaDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.InverseGaussianDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSBDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.JohnsonSUDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.KolmogorovDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.LaplaceDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.LogarithmicSeriesDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.LogisticDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.LogisticExponentialDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.LogNormalDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.LomaxDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.MatchDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.MaxwellDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.MinimaxDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.MixtureDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.MuthDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.NegativeBinomialDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.NegativeHypergeometricDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.NormalDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.ParetoDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.PoissonDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.PowerFunctionDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.RayleighDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.RiceDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.StudentDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.TriangleDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.TwoSidedPowerDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.UQuadraticDistribution
 
valueChanged(Observable, Object) - Method in class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.WeibullDistribution
 
valueChanged() - Method in class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
 
valueList2Table(String[][], int, int) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
Use the data in the given 2 dimension array to form a JTable
valueList2Table_vertical(String[][], int, int) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
 
valueName - Static variable in class edu.uah.math.devices.Card
 
valueOf(String) - Static method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
Returns the enum constant of this type with the specified name.
values() - Static method in enum edu.ucla.stat.SOCR.analyses.util.IntervalType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.ucla.stat.SOCR.experiments.util.IntervalType
Returns an array containing the constants of this enum type, in the order they are declared.
values_storage - Variable in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
values_storage - Variable in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
values_storage - Variable in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 
values_storage - Variable in class edu.ucla.stat.SOCR.chart.SuperDotChart
 
ValueSetter - Class in edu.ucla.stat.SOCR.core
this class used to let the user change value
ValueSetter(String, int, int, double) - Constructor for class edu.ucla.stat.SOCR.core.ValueSetter
create a Continuous type valueSetter, the real value will be multiply by the scale
ValueSetter(String, int, int, int, double) - Constructor for class edu.ucla.stat.SOCR.core.ValueSetter
create a Continuous type valueSetter,
ValueSetter(String, int, int, int) - Constructor for class edu.ucla.stat.SOCR.core.ValueSetter
 
ValueSetter(String, int, int, int, int) - Constructor for class edu.ucla.stat.SOCR.core.ValueSetter
 
valueSetterPane - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet
 
valueSetterPane - Variable in class edu.ucla.stat.SOCR.core.SOCRApplet3
 
ValueSlider - Class in edu.ucla.stat.SOCR.util
this class used to let the user change value
ValueSlider(String, double, double, double, boolean) - Constructor for class edu.ucla.stat.SOCR.util.ValueSlider
create a Continuous type valueSlider,
ValueSlider(String, double, double, boolean) - Constructor for class edu.ucla.stat.SOCR.util.ValueSlider
 
ValueSliderFloat - Class in edu.ucla.stat.SOCR.util
this class used to let the user change value
ValueSliderFloat(String, double, double, double, boolean) - Constructor for class edu.ucla.stat.SOCR.util.ValueSliderFloat
create a Continuous type valueSlider,
ValueSliderFloat(String, double, double, boolean) - Constructor for class edu.ucla.stat.SOCR.util.ValueSliderFloat
 
VAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.FlignerKilleenResult
 
VAR_1_LOG_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
VAR_1_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
VAR_1_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
VAR_2_LOG_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
VAR_2_X - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
VAR_2_Y - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
VAR_PREDICT - Static variable in class edu.ucla.stat.SOCR.analyses.result.SimpleLinearRegressionResult
 
VAR_U - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
VAR_W - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
varHistogram - Class in edu.ucla.stat.SOCR.util
 
varHistogram(IntervalData, int) - Constructor for class edu.ucla.stat.SOCR.util.varHistogram
 
varHistogram(IntervalData, int, int) - Constructor for class edu.ucla.stat.SOCR.util.varHistogram
 
varHistogram() - Constructor for class edu.ucla.stat.SOCR.util.varHistogram
This default constructor creates a new data graph with a new data set on the interval [0, 1] with subintervals of length 0.1.
VARIABLE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
VARIABLE - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
VARIABLE - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
VARIABLE_1 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
VARIABLE_2 - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
VARIABLE_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
VARIABLE_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.MultiLinearRegressionResult
 
VARIABLE_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.AnovaTwoWayResult
 
VARIABLE_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
VARIABLE_LIST - Static variable in class edu.ucla.stat.SOCR.analyses.result.MultiLinearRegressionResult
 
VARIABLE_MISSING_MESSAGE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
VARIABLE_MISSING_MESSAGE - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
VARIABLE_MISSING_MESSAGE - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
variance(double[]) - Static method in class edu.ucla.stat.SOCR.util.AnalysisUtility
 
VarianceEstimateExperiment - Class in edu.uah.math.experiments
The experiment is to select a random sample of size n from a specified distribution, and then to construct an approximate confidence interval for the standard deviation at a specified confidence level.
VarianceEstimateExperiment() - Constructor for class edu.uah.math.experiments.VarianceEstimateExperiment
 
VarianceEstimateExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the interval estimate experiment for the variance in the standard normal model.
VarianceEstimateExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.VarianceEstimateExperiment
This method initializes the experiment.
VarianceEstimateGraph - Class in edu.uah.math.devices
This class defines a special graph used in the interval estimate experiment for the variance.
VarianceEstimateGraph(RandomVariable) - Constructor for class edu.uah.math.devices.VarianceEstimateGraph
This general constructor creates a new variance estimate graph corresponding to a specified sampling random variable.
VarianceEstimateGraph() - Constructor for class edu.uah.math.devices.VarianceEstimateGraph
This default constructor creates a new variance estimate graph with a normally distributed random variable.
VarianceEstimateGraph - Class in edu.ucla.stat.SOCR.util
This class defines a special graph used in the interval estimate experiment for the variance.
VarianceEstimateGraph(RandomVariable) - Constructor for class edu.ucla.stat.SOCR.util.VarianceEstimateGraph
This general constructor creates a new variance estimate graph corresponding to a specified random variable.
VarianceTestExperiment - Class in edu.uah.math.experiments
This class models the hypothesis testing experiment for the variance in the standard normal model.
VarianceTestExperiment() - Constructor for class edu.uah.math.experiments.VarianceTestExperiment
 
VarianceTestExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the hypothesis testing experiment for the variance in the standard normal model.
VarianceTestExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.VarianceTestExperiment
This method initializes the experiment.
VarianceTestGraph - Class in edu.uah.math.devices
This class models a special graph used in the hypothesis testing experiment for the variance in the standard normal model.
VarianceTestGraph(RandomVariable, double) - Constructor for class edu.uah.math.devices.VarianceTestGraph
This general constructor creates a new variance test graph with a specified random variable and a specified test standard deviation.
VarianceTestGraph() - Constructor for class edu.uah.math.devices.VarianceTestGraph
This default constructor creates a new variance test graph with a normally distributed random variable and test standard deviation 1.
VarianceTestGraph - Class in edu.ucla.stat.SOCR.util
This class models a special graph used in the hypothesis testing experiment for the variance in the standard normal model.
VarianceTestGraph(RandomVariable, double) - Constructor for class edu.ucla.stat.SOCR.util.VarianceTestGraph
This general constructor creates a ndw variance test graph with a specified random variable and a specified test standard deviation.
varLabel - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
varLabel - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
varLabel - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
VarValueSlider - Variable in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
VECSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
verbose - Static variable in class edu.ucla.stat.SOCR.JRI.Mutex
 
versionCheck() - Static method in class edu.ucla.stat.SOCR.JRI.Rengine
 
VERTICAL - Static variable in class edu.uah.math.devices.Graph
 
VERTICAL - Static variable in class edu.ucla.loni.LOVE.colormap.ActiveBar
 
VERTICAL - Static variable in class edu.ucla.loni.LOVE.colormap.ColorBar
 
VERTICAL - Static variable in class edu.ucla.stat.SOCR.core.GraphPanel
 
VERTICAL - Static variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
VERTICAL - Static variable in class edu.ucla.stat.SOCR.util.Graph
 
view - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
ViewerApplet - Class in edu.ucla.stat.SOCR.distributome
 
ViewerApplet() - Constructor for class edu.ucla.stat.SOCR.distributome.ViewerApplet
CONSTRUCTOR
ViewerPanelInfo - Class in edu.ucla.stat.SOCR.distributome.data
 
ViewerPanelInfo(ViewerApplet) - Constructor for class edu.ucla.stat.SOCR.distributome.data.ViewerPanelInfo
CONSTRUCTOR
VISUALIZE - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
visualizePanel - Static variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
visualizePanel - Static variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
Volume_1Sample_T_test - Class in edu.ucla.stat.SOCR.analyses.command.volume
 
Volume_1Sample_T_test() - Constructor for class edu.ucla.stat.SOCR.analyses.command.volume.Volume_1Sample_T_test
 
Volume_2IndepSample_T_test - Class in edu.ucla.stat.SOCR.analyses.command.volume
 
Volume_2IndepSample_T_test() - Constructor for class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_T_test
 
Volume_2IndepSample_Wilcoxon_test - Class in edu.ucla.stat.SOCR.analyses.command.volume
 
Volume_2IndepSample_Wilcoxon_test() - Constructor for class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2IndepSample_Wilcoxon_test
 
Volume_2PairedSamples_Wilcoxon_RankSum_test - Class in edu.ucla.stat.SOCR.analyses.command.volume
 
Volume_2PairedSamples_Wilcoxon_RankSum_test() - Constructor for class edu.ucla.stat.SOCR.analyses.command.volume.Volume_2PairedSamples_Wilcoxon_RankSum_test
 
volumeInfo - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
VolumeMultipleRegression - Class in edu.ucla.stat.SOCR.analyses.command.volume
 
VolumeMultipleRegression() - Constructor for class edu.ucla.stat.SOCR.analyses.command.volume.VolumeMultipleRegression
 
VolumeMultipleRegression - Class in edu.ucla.stat.SOCR.analyses.command
 
VolumeMultipleRegression() - Constructor for class edu.ucla.stat.SOCR.analyses.command.VolumeMultipleRegression
 
VonMisesDistr - Variable in class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
VonMisesDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Von-Mises (Circular Gaussian) distribution on [-Pi; Pi].
VonMisesDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This general constructor creates a new Von Mises distribution on a specified interval.
VonMisesDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.VonMisesDistribution
This default constructor creates a new Von Mises distribuiton on (0, 1).
VonMisesFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
 
VonMisesFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
VonMisesFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.VonMisesFit_Modeler
 
VoterExperiment - Class in edu.uah.math.experiments
This class models the voter experiment.
VoterExperiment() - Constructor for class edu.uah.math.experiments.VoterExperiment
 
VoterExperiment - Class in edu.ucla.stat.SOCR.experiments
This class models the voter experiment.
VoterExperiment() - Constructor for class edu.ucla.stat.SOCR.experiments.VoterExperiment
This method initializes the experiment, including the set of voters, the toolbar with choices and labels.
Voters - Class in edu.uah.math.devices
This class models a rectangular array of voters (a metaphor for a site that can be in one of several states.
Voters(int, int, int, Color[], double[]) - Constructor for class edu.uah.math.devices.Voters
This general constructor creates a new array of voters with a specified number of rows and columns, a specified array of colors (states), a specified probability array, and a preferred voter size.
Voters(int, int, int, Color[]) - Constructor for class edu.uah.math.devices.Voters
This special constructor creates a new array of voters with a specified number of rows and columns, a specified array of colors (states), a specified size, a specified color array and default probabilities.
Voters(int, int, int) - Constructor for class edu.uah.math.devices.Voters
This special constructor creates a new array of voters with a specified number of rows and columns, a specified size, and default colors and probabilities..
Voters(int, int) - Constructor for class edu.uah.math.devices.Voters
This special constructor creates a new array of voters with a specified number of rows and columns, and default voter size, colors and probabilities.
Voters() - Constructor for class edu.uah.math.devices.Voters
This default constructor creates a new array of voters with 10 rows, 10 columns and the default uniform probability array, and default preferred voter size.
Voters - Class in edu.ucla.stat.SOCR.util
This class models a rectangular array of "voters." Each voter at each time can be in one of a finite set of states representd as colors.
Voters(int, int, int) - Constructor for class edu.ucla.stat.SOCR.util.Voters
This general constructor creates a new array of voters with a specified number of rows, columns, and width.
Voters(int, int) - Constructor for class edu.ucla.stat.SOCR.util.Voters
This special constructor creates a new array of voters with a specified number of rows and columns, and with the default size of 20 pixels.
Voters() - Constructor for class edu.ucla.stat.SOCR.util.Voters
This default constructor creates a new array of voters with 5 rows, 10 columns and size of 20 pixels.
vs - Variable in class edu.ucla.stat.SOCR.chart.SuperBoxAndWhiskerChart
 
vs - Variable in class edu.ucla.stat.SOCR.chart.SuperCategoryChart_Stat_Raw
 

W

W_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
waitForR() - Method in class edu.ucla.stat.SOCR.JRI.Rengine
 
walk(int) - Method in class edu.uah.math.devices.RandomWalkGraph
This method performs the random walk, starting at a specified initial position.
walk() - Method in class edu.ucla.stat.SOCR.util.BallotGraph
This method compute the values of the random walk
walk(int) - Method in class edu.ucla.stat.SOCR.util.RandomWalkGraph
This method performs the random walk, starting at a specified initial value.
WalkMaxDistribution - Class in edu.uah.math.distributions
This class models the distribution of the maximum value of a symmetric random walk on the interval [0, n].
WalkMaxDistribution(int) - Constructor for class edu.uah.math.distributions.WalkMaxDistribution
This general constructor creates a new max walk distribution with a specified time parameter.
WalkMaxDistribution() - Constructor for class edu.uah.math.distributions.WalkMaxDistribution
This default constructor creates a new walk max distribution with time parameter 10.
WalkMaxDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the distribution of the maximum value of a symmetric random walk on the interval [0, n].
WalkMaxDistribution(int) - Constructor for class edu.ucla.stat.SOCR.distributions.WalkMaxDistribution
This general constructor creates a new max walk distribution with a specified time parameter.
WalkMaxDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.WalkMaxDistribution
This default constructor creates a new walk max distribution with time parameter 10.
WalkPositionDistribution - Class in edu.uah.math.distributions
This class models the distribution of the position at time n for a random walk on the interval [0, n].
WalkPositionDistribution(int, double) - Constructor for class edu.uah.math.distributions.WalkPositionDistribution
This general constructor creates a new distribution with specified time and probability parameters.
WalkPositionDistribution() - Constructor for class edu.uah.math.distributions.WalkPositionDistribution
This default constructor creates a new WalkPositionDistribution with time parameter 10 and probability p = 0.5.
WalkPositionDistribution - Class in edu.ucla.stat.SOCR.distributions
 
WalkPositionDistribution(int, double) - Constructor for class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This general constructor creates a new distribution with specified time and probability parameters.
WalkPositionDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.WalkPositionDistribution
This default constructor creates a new WalkPositionDistribution with time parameter 10 and probability p.
warning(SAXParseException) - Method in class edu.ucla.stat.SOCR.distributome.editor.FileParser
Receives notification of a parser warning.
warning(SAXParseException) - Method in class edu.ucla.stat.SOCR.distributome.editor.XmlValidator
Receives notification of a parser warning.
WaterfallChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A sample waterfall chart.
WaterfallChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.WaterfallChartDemo1
 
WAVELET_TYPE - Static variable in class edu.ucla.stat.SOCR.core.Modeler
 
WaveletFit_Modeler - Class in edu.ucla.stat.SOCR.modeler
This class Designs a Fourier model fitting curve.
WaveletFit_Modeler() - Constructor for class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
WaveletFit_Modeler(JPanel) - Constructor for class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
WaveletFit_Modeler.OB - Class in edu.ucla.stat.SOCR.modeler
 
WaveletFit_Modeler.OB() - Constructor for class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler.OB
 
WaveletGame - Class in edu.ucla.stat.SOCR.games
This class models a simple interactive scatterplot.
WaveletGame() - Constructor for class edu.ucla.stat.SOCR.games.WaveletGame
This method initializes the applet, including the toolbar, scatterplot, and statistics table.
WaveletGame.OB - Class in edu.ucla.stat.SOCR.games
 
WaveletGame.OB() - Constructor for class edu.ucla.stat.SOCR.games.WaveletGame.OB
 
WaveletLoader - Class in edu.ucla.stat.SOCR.core
This class implements the wavelet loading dynamically
WaveletLoader(URL) - Constructor for class edu.ucla.stat.SOCR.core.WaveletLoader
 
waveletloader - Variable in class edu.ucla.stat.SOCR.games.WaveletGame
 
waveletloader - Variable in class edu.ucla.stat.SOCR.modeler.WaveletFit_Modeler
 
WaveletPluginLoader - Class in edu.ucla.stat.SOCR.util
 
WaveletPluginLoader(URL, ClassLoader) - Constructor for class edu.ucla.stat.SOCR.util.WaveletPluginLoader
 
WEAKREFSXP - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
WeibullDistribution - Class in edu.uah.math.distributions
This class models the Weibull distribution with specified shape and scale parameters.
WeibullDistribution(double, double) - Constructor for class edu.uah.math.distributions.WeibullDistribution
This general constructor creates a new Weibull distribution with spcified shape and scale parameters.
WeibullDistribution() - Constructor for class edu.uah.math.distributions.WeibullDistribution
This default constructor creates a new Weibull distribution with shape parameter 1 and scale parameter 1.
WeibullDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Weibull distribution with specified shape and scale parameters.
WeibullDistribution(double, double) - Constructor for class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This general constructor creates a new Weibull distribution with spcified shape and scale parameters
WeibullDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.WeibullDistribution
This default constructor creates a new Weibull distribution with shape parameter 1 and scale parameter 1
weight - Variable in class edu.ucla.stat.SOCR.chart.util.Module
 
whichIntervalSelected() - Method in class edu.ucla.stat.SOCR.analyses.util.ConfidenceControlPanel
 
whichIntervalSelected() - Method in class edu.ucla.stat.SOCR.experiments.util.ConfidenceControlPanelGeneral
 
width() - Method in class edu.ucla.stat.SOCR.analyses.gui.ScatterPlotRange
 
width - Variable in class edu.ucla.stat.SOCR.distributions.Domain
 
width - Variable in class edu.ucla.stat.SOCR.util.SOCRLogoAnimator
 
width - Variable in class edu.ucla.stat.SOCR.util.varHistogram
 
WILCOXON_R_MIN - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
WILCOXON_R_MIN - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
WILCOXON_R_MIN - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
WILCOXON_R_PRIME - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
WILCOXON_R_PRIME - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
WILCOXON_R_PRIME - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
WILCOXON_RANK_SUM_SMALLER - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
WILCOXON_RANK_SUM_SMALLER - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
WILCOXON_RANK_SUM_SMALLER - Static variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
WilcoxonRankTest - Class in edu.ucla.stat.SOCR.analyses.data
 
WilcoxonRankTest(DataCase[], DataCase[]) - Constructor for class edu.ucla.stat.SOCR.analyses.data.WilcoxonRankTest
 
wildCard - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
window - Variable in class edu.ucla.stat.SOCR.core.sampler
 
windowActivated(WindowEvent) - Method in class edu.uah.math.devices.ProbabilityDialog
 
windowActivated(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
windowActivated(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
windowActivated(WindowEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
 
windowActivated(WindowEvent) - Method in class edu.uah.math.experiments.Experiment
 
windowActivated(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
windowActivated(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
windowActivated(WindowEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
windowActivated(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.AboutDialog
 
windowActivated(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
 
windowClosed(WindowEvent) - Method in class edu.uah.math.devices.ProbabilityDialog
 
windowClosed(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
windowClosed(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
windowClosed(WindowEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
 
windowClosed(WindowEvent) - Method in class edu.uah.math.experiments.Experiment
 
windowClosed(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
windowClosed(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
windowClosed(WindowEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
windowClosed(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.AboutDialog
 
windowClosed(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
 
windowClosing(WindowEvent) - Method in class edu.uah.math.devices.ProbabilityDialog
This method handles the event generated when the user clicks the close button.
windowClosing(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
This method handles the event generated when the user clicks the close button.
windowClosing(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
This method handles the event generated when the user clicks the close button.
windowClosing(WindowEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
This method handles the event generated when the user clicks the close button; this is equivalent to the Cancel button and the dialog is disposed.
windowClosing(WindowEvent) - Method in class edu.uah.math.experiments.Experiment
 
windowClosing(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
windowClosing(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
windowClosing(WindowEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
windowClosing(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.AboutDialog
This method handles the event generated when the user clicks the close button; the dialog is disposed.
windowClosing(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
This method handles the event generated when the user clicks the close button; this is equivalent to the Cancel button and the dialog is disposed.
windowConflicted(WindowEvent) - Method in class edu.uah.math.devices.ProbabilityDialog
 
windowConflicted(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
windowConflicted(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
windowConflicted(WindowEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
 
windowConflicted(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.AboutDialog
 
windowConflicted(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
 
windowDeactivated(WindowEvent) - Method in class edu.uah.math.devices.ProbabilityDialog
 
windowDeactivated(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
windowDeactivated(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
windowDeactivated(WindowEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
 
windowDeactivated(WindowEvent) - Method in class edu.uah.math.experiments.Experiment
 
windowDeactivated(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
windowDeactivated(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
windowDeactivated(WindowEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
windowDeactivated(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.AboutDialog
 
windowDeactivated(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
 
windowDeiconified(WindowEvent) - Method in class edu.uah.math.devices.ProbabilityDialog
 
windowDeiconified(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
windowDeiconified(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
windowDeiconified(WindowEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
 
windowDeiconified(WindowEvent) - Method in class edu.uah.math.experiments.Experiment
 
windowDeiconified(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
windowDeiconified(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
windowDeiconified(WindowEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
windowDeiconified(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.AboutDialog
 
windowDeiconified(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
 
windowIconified(WindowEvent) - Method in class edu.uah.math.devices.ProbabilityDialog
 
windowIconified(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
windowIconified(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
windowIconified(WindowEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
 
windowIconified(WindowEvent) - Method in class edu.uah.math.experiments.Experiment
 
windowIconified(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
windowIconified(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
windowIconified(WindowEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
 
windowIconified(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.AboutDialog
 
windowIconified(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
 
windowOpened(WindowEvent) - Method in class edu.uah.math.devices.ProbabilityDialog
 
windowOpened(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MixtureDistributionParametersDialog
 
windowOpened(WindowEvent) - Method in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
windowOpened(WindowEvent) - Method in class edu.uah.math.devices.TransitionMatrixDialog
 
windowOpened(WindowEvent) - Method in class edu.uah.math.experiments.Experiment
Window events
windowOpened(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.gui.Analysis
Window events
windowOpened(WindowEvent) - Method in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
Window events
windowOpened(WindowEvent) - Method in class edu.ucla.stat.SOCR.chart.Chart
Window events
windowOpened(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.AboutDialog
 
windowOpened(WindowEvent) - Method in class edu.ucla.stat.SOCR.util.ProbabilityDialog
 
windowSize - Variable in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo
 
windowSize - Variable in class edu.ucla.stat.SOCR.chart.demo.HistogramChartDemo2
 
WITH_REPLACEMENT - Static variable in class edu.uah.math.devices.Urn
 
WITH_REPLACEMENT - Static variable in class edu.uah.math.distributions.Functions
 
WITH_REPLACEMENT - Static variable in class edu.uah.math.experiments.UrnExperiment
 
WITH_REPLACEMENT - Static variable in class edu.ucla.stat.SOCR.distributions.Functions
 
WITH_REPLACEMENT - Static variable in class edu.ucla.stat.SOCR.experiments.UrnExperiment
 
WITH_REPLACEMENT - Static variable in class edu.ucla.stat.SOCR.util.Urn
 
withinSampleMeanCurve(double, double) - Method in class edu.ucla.stat.SOCR.util.NormalCurve
 
WITHOUT_REPLACEMENT - Static variable in class edu.uah.math.devices.Urn
 
WITHOUT_REPLACEMENT - Static variable in class edu.uah.math.distributions.Functions
 
WITHOUT_REPLACEMENT - Static variable in class edu.uah.math.experiments.UrnExperiment
 
WITHOUT_REPLACEMENT - Static variable in class edu.ucla.stat.SOCR.distributions.Functions
 
WITHOUT_REPLACEMENT - Static variable in class edu.ucla.stat.SOCR.experiments.UrnExperiment
 
WITHOUT_REPLACEMENT - Static variable in class edu.ucla.stat.SOCR.util.Urn
 
write(String) - Method in class edu.ucla.stat.SOCR.util.FileHelper
 
writeAsciiData() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
writeAsciiData() method Writes results to an ASCII text file (one number, probability-value, per line)
writeBinaryData() - Static method in class edu.ucla.stat.SOCR.analyses.command.volume.Test_FDR
writeBinaryData() method Writes results to a Binary file (4-byte float)
writeXMLFile(String) - Method in class edu.ucla.stat.SOCR.JRI.XMLtree
 
WrongAnalysisException - Exception in edu.ucla.stat.SOCR.analyses.exception
 
WrongAnalysisException() - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.WrongAnalysisException
 
WrongAnalysisException(String) - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.WrongAnalysisException
 
WrongDataFormatException - Exception in edu.ucla.stat.SOCR.analyses.exception
 
WrongDataFormatException() - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.WrongDataFormatException
 
WrongDataFormatException(String) - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.WrongDataFormatException
 
WrongDataTypeException - Exception in edu.ucla.stat.SOCR.analyses.exception
 
WrongDataTypeException() - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.WrongDataTypeException
 
WrongDataTypeException(String) - Constructor for exception edu.ucla.stat.SOCR.analyses.exception.WrongDataTypeException
 
ws - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
ws2 - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 

X

x - Variable in class edu.ucla.stat.SOCR.distributions.MultiNomialDistribution
 
x - Variable in class edu.ucla.stat.SOCR.distributions.NegativeMultiNomialDistribution
 
x - Variable in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
X_BAR - Static variable in class edu.ucla.stat.SOCR.analyses.result.ConfidenceIntervalResult
 
x_end - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
x_row_count - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
x_start - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
xGraph(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method computes the x coordinate in graph units for a given x in scale units
xGraph(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method computes the x coordinate in graph units for a given x in scale units
xGraph(double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method computes the x coordinate in graph units for a given x in scale units
xGraphDouble(double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method computes the x coordinate in graph units for a given x in scale units
xGraphInverse(double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method computes the x scale units for a given x in coordinate in graph units
xhist - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
xMax - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
xMax - Variable in class edu.ucla.stat.SOCR.util.Graph
 
xMin - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
xMin - Variable in class edu.ucla.stat.SOCR.util.Graph
 
XMLComposer - Class in edu.ucla.stat.SOCR.analyses.xml
 
XMLComposer(double[], double[], String, String, int) - Constructor for class edu.ucla.stat.SOCR.analyses.xml.XMLComposer
 
xmlInputString - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
xmlInputString - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
xmlOutputString - Variable in class edu.ucla.stat.SOCR.analyses.gui.Analysis
 
xmlOutputString - Variable in class edu.ucla.stat.SOCR.analyses.jri.gui.Analysis
 
xmlResultString - Variable in class edu.ucla.stat.SOCR.analyses.jri.result.Result
 
xmlResultString - Variable in class edu.ucla.stat.SOCR.analyses.result.Result
 
xmlStringToDocument(String) - Static method in class edu.ucla.stat.SOCR.analyses.xml.DomParserUtility
 
XMLtree - Class in edu.ucla.stat.SOCR.JRI
 
XMLtree() - Constructor for class edu.ucla.stat.SOCR.JRI.XMLtree
 
XMLtree(String) - Constructor for class edu.ucla.stat.SOCR.JRI.XMLtree
 
XMLtree(String, boolean) - Constructor for class edu.ucla.stat.SOCR.JRI.XMLtree
 
XMLtree(Document) - Constructor for class edu.ucla.stat.SOCR.JRI.XMLtree
 
XmlValidator - Class in edu.ucla.stat.SOCR.distributome.editor
Class that validates an XML encoded stream using an XSD.
XmlValidator() - Constructor for class edu.ucla.stat.SOCR.distributome.editor.XmlValidator
Constructs an XML Validator.
xp - Variable in class edu.ucla.stat.SOCR.JRI.REXP
native reference to the SEXP represented in R.
xPixels(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method convert x scale units to x pixels
xPixels(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method convert x scale units to x pixels
xPixels(double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method convert x scale units to x pixels
xPosition - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
xScale(int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method computes the x coordinate in scale units for a given x in graph units
xScale(int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method computes the x coordinate in scale units for a given x in graph units
xScale(int) - Method in class edu.ucla.stat.SOCR.util.Graph
This method computes the x coordinate in scale units for a given x in graph units
xsiz - Variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
xsiz - Variable in class edu.ucla.stat.SOCR.chart.util.Module
 
xsiz - Variable in class edu.ucla.stat.SOCR.util.Mixture
 
XSIZE - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
xSize - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
XT_DOUBLEARRAY - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
XT_DOUBLEARRAY - Variable in class edu.ucla.stat.SOCR.JRI.RXP
 
XT_INTARRAY - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
XT_INTARRAY - Variable in class edu.ucla.stat.SOCR.JRI.RXP
 
XT_STR - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
XT_STR - Variable in class edu.ucla.stat.SOCR.JRI.RXP
 
XT_STRARRAY - Static variable in class edu.ucla.stat.SOCR.JRI.REXP
 
XT_STRARRAY - Variable in class edu.ucla.stat.SOCR.JRI.RXP
 
xVal(int) - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
xVal(int) - Method in class edu.ucla.stat.SOCR.util.Database
 
xValues - Variable in class edu.uah.math.devices.SOCR_MultiNomialDistributionParametersDialog
 
XY2Table(String[], String[], int) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
For QQ, use data from 2 arrays to fill a JTable
XY_CHART - Static variable in class edu.ucla.stat.SOCR.chart.ChartType
 
XYAreaChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create an area chart.
XYAreaChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo1
 
XYAreaChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create an area chart with a date axis for the domain values.
XYAreaChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.XYAreaChartDemo2
 
XYBarChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart using an XYPlot.
XYBarChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo1
 
XYBarChartDemo2 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a bar chart with a date axis for the domain values.
XYBarChartDemo2() - Constructor for class edu.ucla.stat.SOCR.chart.demo.XYBarChartDemo2
 
xyLength - Variable in class edu.ucla.stat.SOCR.analyses.gui.ConfidenceIntervalAnalysis
 
xyLength - Variable in class edu.ucla.stat.SOCR.chart.Chart
 
XYStepRendererDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration of the XYStepRenderer class.
XYStepRendererDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.XYStepRendererDemo1
 

Y

y - Variable in class edu.ucla.stat.SOCR.distributome.data.SOCRNode
 
y0(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the BesselFunction function of the second kind of order 0 of the argument.
y1(double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the BesselFunction function of the second kind of order 1 of the argument.
Y2Table(String[], int) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
for QQ, use data from one array to fill a JTable
Y2Table(String[], String[], double[], double[], int) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
for ScatterPower, use data from XY array to fill a JTable
Y_DATA_TYPE - Static variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
y_freq - Variable in class edu.ucla.stat.SOCR.chart.SuperHistogramChart
 
y_row_count - Variable in class edu.ucla.stat.SOCR.chart.SuperXYChart_QQ_DD
 
year - Variable in class edu.ucla.stat.SOCR.distributome.data.Reference
 
yGraph(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method computes the y coordinate in graph units for a given y in scale units
yGraph(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method computes the y coordinate in graph units for a given y in scale units
yGraph(double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method computes the y coordinate in graph units for a given y in scale units
yGraphDouble(double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method computes the y coordinate in graph units for a given y in scale units
yGraphInverse(double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method computes the y scale units for a given y in coordinate in graph units
yhist - Variable in class edu.ucla.stat.SOCR.core.ModelerGui
 
YIntervalChartDemo1 - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a Y Interval Chart.
YIntervalChartDemo1() - Constructor for class edu.ucla.stat.SOCR.chart.demo.YIntervalChartDemo1
 
YIntervalChartDemo1a - Class in edu.ucla.stat.SOCR.chart.demo
A simple demonstration application showing how to create a Y Interval Chart.
YIntervalChartDemo1a() - Constructor for class edu.ucla.stat.SOCR.chart.demo.YIntervalChartDemo1a
 
YIntervalDataset2Table(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
use data from a IntervalXYDataset to fill a JTable
YIntervalDataset2TableA(IntervalXYDataset) - Method in class edu.ucla.stat.SOCR.chart.data.DataConvertor
 
yMax - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
yMax - Variable in class edu.ucla.stat.SOCR.util.Graph
 
yMin - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
yMin - Variable in class edu.ucla.stat.SOCR.util.Graph
 
yn(int, double) - Static method in class edu.ucla.stat.SOCR.util.BesselFunction
Returns the BesselFunction function of the second kind of order n of the argument.
yPixels(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method converts y scale units to y pixels
yPixels(double) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method converts y scale units to y pixels
yPixels(double) - Method in class edu.ucla.stat.SOCR.util.Graph
This method converts y scale units to y pixels
yPosition - Variable in class edu.ucla.stat.SOCR.core.GraphPanels
 
yScale(int) - Method in class edu.ucla.stat.SOCR.core.GraphPanel
This method computes the y coordinate in scale units for a given y in graph units
yScale(int) - Method in class edu.ucla.stat.SOCR.core.GraphPanels
This method computes the y coordinate in scale units for a given y in graph units
yScale(int) - Method in class edu.ucla.stat.SOCR.util.Graph
This method computes the y coordinate in scale units for a given y in graph units
ysiz - Variable in class edu.ucla.stat.SOCR.chart.util.Mixture
 
ysiz - Variable in class edu.ucla.stat.SOCR.chart.util.Module
 
ysiz - Variable in class edu.ucla.stat.SOCR.util.Mixture
 
YSIZE - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
ySize - Variable in class edu.ucla.stat.SOCR.experiments.MixtureEMExperiment
 
yVal(int) - Method in class edu.ucla.stat.SOCR.chart.util.Database
 
yVal(int) - Method in class edu.ucla.stat.SOCR.util.Database
 

Z

z - Variable in class edu.ucla.stat.SOCR.analyses.model.NormalPower
 
Z_FORMULA - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
Z_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.jri.result.LinearModelResult
 
Z_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.LinearModelResult
 
Z_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.NonParametricTestResult
 
Z_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.NormalPowerResult
 
Z_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoIndependentWilcoxonResult
 
Z_SCORE - Static variable in class edu.ucla.stat.SOCR.analyses.result.TwoPairedSignedRankResult
 
Z_STAT - Static variable in class edu.ucla.stat.SOCR.analyses.result.KolmogorovSmirnoffResult
 
ZipfMandelbrotDistribution - Class in edu.ucla.stat.SOCR.distributions
This class models the Zipf-Mandelbrot distribution with parameters N be the number of elements; k be their rank (the value of the random-variable!); w be the value of the power-exponent characterizing the distribution; q be the (rank-)shift [0, \infty) http://en.wikipedia.org/wiki/Zipf-Mandelbrot_law .
ZipfMandelbrotDistribution(int, double, int) - Constructor for class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
General constructor: creates a new ZipfMandelbrot distribution with specified values of the parameters: B(population size), w (number of special-type 1 objects) and b (sample size)
ZipfMandelbrotDistribution() - Constructor for class edu.ucla.stat.SOCR.distributions.ZipfMandelbrotDistribution
Default constructor: creates a new ZipfMandelbrot distribution with parameters B = 100, w = 50, b = 10
zoom_level - Variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
zoomIn(int, boolean) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
ZoomIn - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
zoomIn() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
zoominAt(CellView, double) - Method in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
zoomInY(double, boolean) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
zoomOut(int, boolean) - Method in class edu.ucla.stat.SOCR.core.ModelerGui
 
ZoomOut - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
zoomOut() - Method in class edu.ucla.stat.SOCR.util.ModelerHistogram
 
ZoomReset - Static variable in class edu.ucla.stat.SOCR.distributome.ViewerApplet
 
zprob(double) - Method in class edu.ucla.stat.SOCR.util.SamplingExperimentHistogram
 

_

_alpha - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Alpha value for this colormap
_aMap - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Map of alpha component
_bits - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Number of bits used for each pixel
_bMap - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Map of blue color
_colormap - Variable in class edu.ucla.loni.LOVE.colormap.ColorBar
Color map of color bar
_gMap - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Map of green color
_height - Variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Size of the other dimension
_isInverted - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Flag to indicate if this is a inverted colormap.
_lowerLimit - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
lower limit, inclusive [lower, upper)
_maxX - Variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
x, y range
_maxY - Variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
x, y range
_minX - Variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
x, y range
_minY - Variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
x, y range
_overColor - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
over color
_ref - Variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
Reference position for calculation of position
_rMap - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Map of red color
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.ColorMap
Actual set up of color map in range.
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.BlueColorMap
Actual set up of color map in range.
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.BoneColorMap
 
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.CoolColorMap
Cool Color Map defined in Matlab.
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.CopperColorMap
Actual set up of color map in range.
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.GEColorMap
 
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.GrayColorMap
Actual set up of color map in range.
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.GreenColorMap
Actual set up of color map in range.
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.HotColorMap
 
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.HotmetalColorMap
 
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.HSVColorMap
Actual set up of color map in range.
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.RedColorMap
Actual set up of color map in range.
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.SpecialSpectralColorMap
 
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.SpectralColorMap
 
_setColorMap() - Method in class edu.ucla.loni.LOVE.colormap.plugins.ThreeColorMap
Actual set up of color map in range.
_sideLength - Variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
length of side of the triangle thumb
_size - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
Total number of levels
_underColor - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
under color
_upperLimit - Variable in class edu.ucla.loni.LOVE.colormap.ColorMap
upper limit, exclusive [lower, upper)
_vertexX - Variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
x, y coordiation the vertex of the triangle pointed to.
_vertexY - Variable in class edu.ucla.loni.LOVE.colormap.TriangleThumb
x, y coordiation the vertex of the triangle pointed to.
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