Serialized Form
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Package nl.tudelft.simulation.jstats.charts.boxAndWhisker |
tallies
Tally[] tallies
- target is the tally to represent
formatter
java.text.NumberFormat formatter
- formatter formats the text
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Package nl.tudelft.simulation.jstats.charts.histogram |
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
labels
java.lang.String[] labels
- labels refers to the labels to be printed
maxLabelHeight
double maxLabelHeight
- maxLabelHeight refers to the maximum label heigth
name
java.lang.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
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Package nl.tudelft.simulation.jstats.charts.xy |
series
XYSeries[] series
- series contains the series of the set
name
java.lang.String name
- name refers to the name of the serie
entries
java.util.List entries
- the entries of the serie
axisType
short axisType
- the axisType (default, logarithmic)
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Package nl.tudelft.simulation.jstats.distributions |
stream
StreamInterface stream
- stream is the random number generator from which to draw
p
double p
- p is the p-value of the Bernouilli distribution
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
n
long n
- n is the n-parameter of the Binomial distribution
p
double p
- p is the p-value of the binomial distribution
value
double value
- value is the value of the constant distribution
values
DistCustom.Entry[] values
- the values
value
long value
- value is the value of the distribution
min
long min
- min is the minimum value of this distribution
max
long max
- max is the maximum value of this distribution
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
mean
double mean
- mean is the mean value of the exponential distribution
alpha
double alpha
- alpha is the alpha parameter of the distribution
beta
double beta
- beta is the beta parameter of the distribution
p
double p
- p is the p-value of the geometric distribution
lnp
double lnp
- lnp is a helper variable to avoid repetitive calculation
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
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
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
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
lambda
double lambda
- lambda is the lambda parameter
expl
double expl
- expl is a helper variable
a
double a
- a is the minimum
b
double b
- b is the mode
c
double c
- c is the maximum
a
double a
- a is the minimum
b
double b
- b is the maximum
alpha
double alpha
- alpha is the alpha parameter
beta
double beta
- beta is the beta parameter
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Package nl.tudelft.simulation.jstats.ode |
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
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Package nl.tudelft.simulation.jstats.statistics |
count
long count
- count represents the value of the counter
n
long n
- n represents the number of measurements
description
java.lang.String description
- description refers to the title of this counter
semaphore
java.lang.Object semaphore
- the semaphore
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
eventTypes
nl.tudelft.simulation.event.EventType[] eventTypes
- eventTypes represent the eventTypes corresponding to the colmumns
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
java.lang.String description
- description refers to the description of this tally
confidenceDistribution
DistNormal confidenceDistribution
- the confidenceDistribution
semaphore
java.lang.Object semaphore
- the semaphore
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Package nl.tudelft.simulation.jstats.streams |
buffer
int[] buffer
- the buffer for this generator
index
int index
- indexing attributes
k13
int k13
- indexing attributes
k23
int k23
- indexing attributes
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
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
seed
long seed
- the seed of the generator
Copyright © 2002-2004 Delft University of Technology, the Netherlands. All Rights Reserved.