Serialized Form


Package nl.tudelft.simulation.jstats.charts.boxAndWhisker

Class nl.tudelft.simulation.jstats.charts.boxAndWhisker.BoxAndWhiskerPlot extends Plot implements Serializable

Serialized Fields

tallies

Tally[] tallies
target is the tally to represent


formatter

NumberFormat formatter
formatter formats the text


confidenceInterval

double confidenceInterval
the confidenceInterval


Package nl.tudelft.simulation.jstats.charts.histogram

Class nl.tudelft.simulation.jstats.charts.histogram.HistogramDataset extends AbstractDataset implements Serializable

Serialized Fields

domain

double[] domain
domain is the minimal value to be displayed in this set


range

double[] range
range is the maximum value to be displayed in the set


numberOfBins

int numberOfBins
numberOfBins is the number of bins (or categories between min-max)


series

HistogramSeries[] series
series the series in this set

Class nl.tudelft.simulation.jstats.charts.histogram.HistogramDomainAxis extends NumberAxis implements Serializable

Serialized Fields

labels

String[] labels
labels refers to the labels to be printed


maxLabelHeight

double maxLabelHeight
maxLabelHeight refers to the maximum label heigth

Class nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries extends AbstractDataset implements Serializable

Serialized Fields

name

String name
name refers to the name of the serie


bins

nl.tudelft.simulation.jstats.charts.histogram.HistogramSeries.Bin[] bins
bins refers to the bins in this serie


Package nl.tudelft.simulation.jstats.charts.xy

Class nl.tudelft.simulation.jstats.charts.xy.XYDataset extends AbstractDataset implements Serializable

Serialized Fields

series

XYSeries[] series
series contains the series of the set

Class nl.tudelft.simulation.jstats.charts.xy.XYSeries extends AbstractDataset implements Serializable

Serialized Fields

name

String name
name refers to the name of the serie


entries

List<E> entries
the entries of the serie


axisType

short axisType
the axisType (default, logarithmic)


filter

Filterinterface filter
the filters of this dataset


PERIOD

double PERIOD
the period of this set


Package nl.tudelft.simulation.jstats.distributions

Class nl.tudelft.simulation.jstats.distributions.Dist extends Object implements Serializable

Serialized Fields

stream

StreamInterface stream
stream is the random number generator from which to draw

Class nl.tudelft.simulation.jstats.distributions.DistBernoulli extends DistDiscrete implements Serializable

Serialized Fields

p

double p
p is the p-value of the Bernouilli distribution

Class nl.tudelft.simulation.jstats.distributions.DistBeta extends DistContinuous implements Serializable

Serialized Fields

dist1

DistGamma dist1
dist1 refers to the first Gamma distribution


dist2

DistGamma dist2
dist2 refers to the second Gamma distribution


alpha1

double alpha1
alpha1 is the first parameter for the Beta distribution


alpha2

double alpha2
alpha2 is the second parameter for the Beta distribution

Class nl.tudelft.simulation.jstats.distributions.DistBinomial extends DistDiscrete implements Serializable

Serialized Fields

n

long n
n is the n-parameter of the Binomial distribution


p

double p
p is the p-value of the binomial distribution

Class nl.tudelft.simulation.jstats.distributions.DistConstant extends DistContinuous implements Serializable

Serialized Fields

value

double value
value is the value of the constant distribution

Class nl.tudelft.simulation.jstats.distributions.DistContinuous extends Dist implements Serializable

Class nl.tudelft.simulation.jstats.distributions.DistDiscrete extends Dist implements Serializable

Class nl.tudelft.simulation.jstats.distributions.DistDiscreteConstant extends DistDiscrete implements Serializable

Serialized Fields

value

long value
value is the value of the distribution

Class nl.tudelft.simulation.jstats.distributions.DistDiscreteEmpirical extends DistDiscrete implements Serializable

Serialized Fields

observations

ObservationsInterface observations
the observations

Class nl.tudelft.simulation.jstats.distributions.DistDiscreteUniform extends DistDiscrete implements Serializable

Serialized Fields

min

long min
min is the minimum value of this distribution


max

long max
max is the maximum value of this distribution

Class nl.tudelft.simulation.jstats.distributions.DistEmpirical extends DistContinuous implements Serializable

Serialized Fields

observations

ObservationsInterface observations
is the distribution grouped?

Class nl.tudelft.simulation.jstats.distributions.DistErlang extends DistContinuous implements Serializable

Serialized Fields

k

int k
k is the k-value of the erlang distribution


beta

double beta
beta is the beta value of the erlang distribution


betak

double betak
betak is the mean value of the erlang distribution


distGamma

DistGamma distGamma
distGamma is the underlying gamma distribution

Class nl.tudelft.simulation.jstats.distributions.DistExponential extends DistContinuous implements Serializable

Serialized Fields

mean

double mean
mean is the mean value of the exponential distribution

Class nl.tudelft.simulation.jstats.distributions.DistGamma extends DistContinuous implements Serializable

Serialized Fields

alpha

double alpha
alpha is the alpha parameter of the distribution


beta

double beta
beta is the beta parameter of the distribution

Class nl.tudelft.simulation.jstats.distributions.DistGeometric extends DistDiscrete implements Serializable

Serialized Fields

p

double p
p is the p-value of the geometric distribution


lnp

double lnp
lnp is a helper variable to avoid repetitive calculation

Class nl.tudelft.simulation.jstats.distributions.DistLogNormal extends DistNormal implements Serializable

Class nl.tudelft.simulation.jstats.distributions.DistNegBinomial extends DistDiscrete implements Serializable

Serialized Fields

n

long n
n independent geometric trials with probability p


p

double p
p is the propbability


lnp

double lnp
lnp is a helper variable to avoid repetitive calculation

Class nl.tudelft.simulation.jstats.distributions.DistNormal extends DistContinuous implements Serializable

Serialized Fields

mu

double mu
mu refers to the mean of the normal distribution


sigma

double sigma
mu refers to the mean of the normal distribution


nextNextGaussian

double nextNextGaussian
nextNextGaussian is a helper attribute


haveNextNextGaussian

boolean haveNextNextGaussian
haveNextNextGaussian is a helper attribute

Class nl.tudelft.simulation.jstats.distributions.DistPearson5 extends DistContinuous implements Serializable

Serialized Fields

dist

DistGamma dist
dist is the gamma distribution


alpha

double alpha
alpha is the alpha parameter of the distribution


beta

double beta
beta is the beta parameter of the distribtution

Class nl.tudelft.simulation.jstats.distributions.DistPearson6 extends DistContinuous implements Serializable

Serialized Fields

dist1

DistGamma dist1
dist1 is the first gamma distribution


dist2

DistGamma dist2
dist2 is the second gamma distribution


alpha1

double alpha1
alpha1 is the first shape parameter


alpha2

double alpha2
alpha2 is the second shape parameter


beta

double beta
beta is the scale parameter

Class nl.tudelft.simulation.jstats.distributions.DistPoisson extends DistDiscrete implements Serializable

Serialized Fields

lambda

double lambda
lambda is the lambda parameter


expl

double expl
expl is a helper variable

Class nl.tudelft.simulation.jstats.distributions.DistTriangular extends DistContinuous implements Serializable

Serialized Fields

a

double a
a is the minimum


b

double b
b is the mode


c

double c
c is the maximum

Class nl.tudelft.simulation.jstats.distributions.DistUniform extends DistContinuous implements Serializable

Serialized Fields

a

double a
a is the minimum


b

double b
b is the maximum

Class nl.tudelft.simulation.jstats.distributions.DistWeibull extends DistContinuous implements Serializable

Serialized Fields

alpha

double alpha
alpha is the alpha parameter


beta

double beta
beta is the beta parameter


Package nl.tudelft.simulation.jstats.filters

Class nl.tudelft.simulation.jstats.filters.MaxDiffFilter extends AbstractFilter implements Serializable

Serialized Fields

acceptedDifferencePercentage

double acceptedDifferencePercentage
the snippet representing the xRange for this filter


lastReceivedValue

double lastReceivedValue
the amount of points already accepted

Class nl.tudelft.simulation.jstats.filters.SnippetFilter extends AbstractFilter implements Serializable

Serialized Fields

snippet

double snippet
the snippet representing the xRange for this filter


lastAcceptedXValue

double lastAcceptedXValue
the amount of points already accepted


Package nl.tudelft.simulation.jstats.ode

Class nl.tudelft.simulation.jstats.ode.DifferentialEquation extends EventProducer implements Serializable

Serialized Fields

integrator

NumericalIntegrator integrator
the integrator


y0

double[] y0
the initial value array


timeStep

double timeStep
a timeStep


x0

double x0
the first x value to start integration


Package nl.tudelft.simulation.jstats.ode.integrators

Class nl.tudelft.simulation.jstats.ode.integrators.Adams extends CachingNumericalIntegrator implements Serializable

Class nl.tudelft.simulation.jstats.ode.integrators.CachingNumericalIntegrator extends NumericalIntegrator implements Serializable

Serialized Fields

cachePlaces

int cachePlaces
the number of cachePlaces to store, e.g for k-1, k-2 set it to 2


cacheY

double[][] cacheY
the cache for y(k-1), y(k-2), etc.


cacheDY

double[][] cacheDY
the cache for y'(k-1), y'(k-2), etc.


lastCachePlace

int lastCachePlace
the number of cache places filled = the last cache place used


startingIntegrator

NumericalIntegrator startingIntegrator
the primer integrator


startingSubSteps

int startingSubSteps
the substeps to use when starting the integrator

Class nl.tudelft.simulation.jstats.ode.integrators.Euler extends NumericalIntegrator implements Serializable

Class nl.tudelft.simulation.jstats.ode.integrators.Gill extends NumericalIntegrator implements Serializable

Class nl.tudelft.simulation.jstats.ode.integrators.Heun extends NumericalIntegrator implements Serializable

Class nl.tudelft.simulation.jstats.ode.integrators.Milne extends CachingNumericalIntegrator implements Serializable

Class nl.tudelft.simulation.jstats.ode.integrators.NumericalIntegrator extends Object implements Serializable

Serialized Fields

timeStep

double timeStep
the timeStep to use


error

double[] error
the calculated error of the last step


equation

DifferentialEquationInterface equation
the equation to integrate

Class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta3 extends NumericalIntegrator implements Serializable

Class nl.tudelft.simulation.jstats.ode.integrators.RungeKutta4 extends NumericalIntegrator implements Serializable

Class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaCashCarp extends NumericalIntegrator implements Serializable

Class nl.tudelft.simulation.jstats.ode.integrators.RungeKuttaFehlberg extends NumericalIntegrator implements Serializable


Package nl.tudelft.simulation.jstats.statistics

Class nl.tudelft.simulation.jstats.statistics.Counter extends StatisticsObject implements Serializable

Serialized Fields

count

long count
count represents the value of the counter


n

long n
n represents the number of measurements


description

String description
description refers to the title of this counter


semaphore

Object semaphore
the semaphore

Class nl.tudelft.simulation.jstats.statistics.Persistent extends Tally implements Serializable

Serialized Fields

startTime

double startTime
startTime defines the time of the first event


elapsedTime

double elapsedTime
elapsedTime tracks the elapsed time


deltaTime

double deltaTime
deltaTime defines the time between 2 events


lastValue

double lastValue
lastvalue tracks the last value

Class nl.tudelft.simulation.jstats.statistics.StatisticsObject extends EventProducer implements Serializable

Serialized Fields

filter

Filterinterface filter
the filter applied to the Counter

Class nl.tudelft.simulation.jstats.statistics.StatisticsTableModel extends DefaultTableModel implements Serializable

Serialized Fields

eventTypes

EventType[] eventTypes
eventTypes represent the eventTypes corresponding to the colmumns

Class nl.tudelft.simulation.jstats.statistics.Tally extends StatisticsObject implements Serializable

Serialized Fields

sum

double sum
sum refers to the sum of the tally


min

double min
min refers to the min of the tally


max

double max
maxrefers to the max of the tally


sampleMean

double sampleMean
sampleMean refers to the mean of the tally


varianceSum

double varianceSum
varianceSum refers to the varianceSum of the tally


n

long n
n refers to the number of measurements


description

String description
description refers to the description of this tally


confidenceDistribution

DistNormal confidenceDistribution
the confidenceDistribution


semaphore

Object semaphore
the semaphore


Package nl.tudelft.simulation.jstats.streams

Class nl.tudelft.simulation.jstats.streams.DX120Generator extends RandomNumberGenerator implements Serializable

Serialized Fields

buffer

int[] buffer
the buffer for this generator


index

int index
indexing attributes


k13

int k13
indexing attributes


k23

int k23
indexing attributes

Class nl.tudelft.simulation.jstats.streams.Java2Random extends Random implements Serializable

Serialized Fields

seed

long seed
seed is a link to the seed value. The reason to store the seed in this variable is that there is no getSeed() on the Java2Random

Class nl.tudelft.simulation.jstats.streams.MersenneTwister extends RandomNumberGenerator implements Serializable

Serialized Fields

mt

int[] mt
the array for the state vector


mti

int mti
The counter mti==N+1 means mt[N] is not initialized


mag01

int[] mag01
magic01

Class nl.tudelft.simulation.jstats.streams.RandomNumberGenerator extends Object implements Serializable

Serialized Fields

seed

long seed
the seed of the generator



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