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java.lang.Objectorg.apache.commons.math.random.EmpiricalDistributionImpl
public class EmpiricalDistributionImpl
Implements EmpiricalDistribution
interface. This implementation
uses what amounts to the
Variable Kernel Method with Gaussian smoothing:
Digesting the input file
binCount
"bins."USAGE NOTES:
binCount
is set by default to 1000. A good rule of thumb
is to set the bin count to approximately the length of the input file divided
by 10.
Constructor Summary | |
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EmpiricalDistributionImpl()
Creates a new EmpiricalDistribution with the default bin count. |
|
EmpiricalDistributionImpl(int binCount)
Creates a new EmpiricalDistribution with the specified bin count. |
Method Summary | |
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int |
getBinCount()
Returns the number of bins. |
java.util.List<SummaryStatistics> |
getBinStats()
Returns a List of SummaryStatistics instances containing
statistics describing the values in each of the bins. |
double |
getNextValue()
Generates a random value from this distribution. |
StatisticalSummary |
getSampleStats()
Returns a StatisticalSummary describing this distribution. |
double[] |
getUpperBounds()
Returns (a fresh copy of) the array of upper bounds for the bins. |
boolean |
isLoaded()
Property indicating whether or not the distribution has been loaded. |
void |
load(double[] in)
Computes the empirical distribution from the provided array of numbers. |
void |
load(java.io.File file)
Computes the empirical distribution from the input file. |
void |
load(java.net.URL url)
Computes the empirical distribution using data read from a URL. |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public EmpiricalDistributionImpl()
public EmpiricalDistributionImpl(int binCount)
binCount
- number of binsMethod Detail |
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public void load(double[] in)
load
in interface EmpiricalDistribution
in
- the input data arraypublic void load(java.net.URL url) throws java.io.IOException
load
in interface EmpiricalDistribution
url
- url of the input file
java.io.IOException
- if an IO error occurspublic void load(java.io.File file) throws java.io.IOException
load
in interface EmpiricalDistribution
file
- the input file
java.io.IOException
- if an IO error occurspublic double getNextValue() throws java.lang.IllegalStateException
getNextValue
in interface EmpiricalDistribution
java.lang.IllegalStateException
- if the distribution has not been loadedpublic StatisticalSummary getSampleStats()
StatisticalSummary
describing this distribution.
Preconditions:
getSampleStats
in interface EmpiricalDistribution
java.lang.IllegalStateException
- if the distribution has not been loadedpublic int getBinCount()
getBinCount
in interface EmpiricalDistribution
public java.util.List<SummaryStatistics> getBinStats()
SummaryStatistics
instances containing
statistics describing the values in each of the bins. The list is
indexed on the bin number.
getBinStats
in interface EmpiricalDistribution
public double[] getUpperBounds()
getUpperBounds
in interface EmpiricalDistribution
public boolean isLoaded()
isLoaded
in interface EmpiricalDistribution
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