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