- 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
-
- DefaultImageCellRenderer() - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.renderers.DefaultImageCellRenderer
-
- DefaultImageWrapper - Class in edu.ucla.stat.SOCR.util.tablemodels.wrappers
-
- 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
-
- DefaultRowComparator() - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.DefaultRowComparator
-
- DefaultTextCellRenderer - Class in edu.ucla.stat.SOCR.util.tablemodels.renderers
-
- DefaultTextCellRenderer() - Constructor for class edu.ucla.stat.SOCR.util.tablemodels.renderers.DefaultTextCellRenderer
-
- DefaultTextWrapper - Class in edu.ucla.stat.SOCR.util.tablemodels.wrappers
-
- 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
-
- 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 ChangeListener
s 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
-
- 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
-
- 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
-
- isColumnDescending(int) - Method in class edu.ucla.stat.SOCR.util.tablemodels.SortedTableModel
-
- 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.
- 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
-
- 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_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
-
- 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
-
- 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
-
- 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
-