fr.cnes.sirius.patrius.math.stat.descriptive

Class SynchronizedSummaryStatistics

java.lang.Object

fr.cnes.sirius.patrius.math.stat.descriptive.SummaryStatistics

fr.cnes.sirius.patrius.math.stat.descriptive.SynchronizedSummaryStatistics

All Implemented Interfaces:

StatisticalSummary, Serializable

public class SynchronizedSummaryStatistics
extends SummaryStatistics

Implementation of SummaryStatistics that is safe to use in a multithreaded environment. Multiple threads can safely operate on a single instance without causing runtime exceptions due to race conditions. In effect, this implementation makes modification and access methods atomic operations for a single instance. That is to say, as one thread is computing a statistic from the instance, no other thread can modify the instance nor compute another statistic.

Since:

1.2

Version:

$Id: SynchronizedSummaryStatistics.java 18108 2017-10-04 06:45:27Z bignon $

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
SynchronizedSummaryStatistics() Construct a SynchronizedSummaryStatistics instance
SynchronizedSummaryStatistics(SynchronizedSummaryStatistics original) A copy constructor.

Method Summary

Methods

Modifier and Type	Method and Description
void	addValue(double value) Add a value to the data
void	clear() Resets all statistics and storage
SynchronizedSummaryStatistics	copy() Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.
static void	copy(SynchronizedSummaryStatistics source, SynchronizedSummaryStatistics dest) Copies source to dest.
boolean	equals(Object object) Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
StorelessUnivariateStatistic	getGeoMeanImpl() Returns the currently configured geometric mean implementation
double	getGeometricMean() Returns the geometric mean of the values that have been added.
double	getMax() Returns the maximum of the values that have been added.
StorelessUnivariateStatistic	getMaxImpl() Returns the currently configured maximum implementation
double	getMean() Returns the mean of the values that have been added.
StorelessUnivariateStatistic	getMeanImpl() Returns the currently configured mean implementation
double	getMin() Returns the minimum of the values that have been added.
StorelessUnivariateStatistic	getMinImpl() Returns the currently configured minimum implementation
long	getN() Returns the number of available values
double	getPopulationVariance() Returns the population variance of the values that have been added.
double	getStandardDeviation() Returns the standard deviation of the values that have been added.
double	getSum() Returns the sum of the values that have been added
StorelessUnivariateStatistic	getSumImpl() Returns the currently configured Sum implementation
StorelessUnivariateStatistic	getSumLogImpl() Returns the currently configured sum of logs implementation
StatisticalSummary	getSummary() Return a StatisticalSummaryValues instance reporting current statistics.
double	getSumsq() Returns the sum of the squares of the values that have been added.
StorelessUnivariateStatistic	getSumsqImpl() Returns the currently configured sum of squares implementation
double	getVariance() Returns the (sample) variance of the available values.
StorelessUnivariateStatistic	getVarianceImpl() Returns the currently configured variance implementation
int	hashCode() Returns hash code based on values of statistics
void	setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl) Sets the implementation for the geometric mean.
void	setMaxImpl(StorelessUnivariateStatistic maxImpl) Sets the implementation for the maximum.
void	setMeanImpl(StorelessUnivariateStatistic meanImpl) Sets the implementation for the mean.
void	setMinImpl(StorelessUnivariateStatistic minImpl) Sets the implementation for the minimum.
void	setSumImpl(StorelessUnivariateStatistic sumImpl) Sets the implementation for the Sum.
void	setSumLogImpl(StorelessUnivariateStatistic sumLogImpl) Sets the implementation for the sum of logs.
void	setSumsqImpl(StorelessUnivariateStatistic sumsqImpl) Sets the implementation for the sum of squares.
void	setVarianceImpl(StorelessUnivariateStatistic varianceImpl) Sets the implementation for the variance.
String	toString() Generates a text report displaying summary statistics from values that have been added.

Methods inherited from class fr.cnes.sirius.patrius.math.stat.descriptive.SummaryStatistics

copy, getSecondMoment, getSumOfLogs

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

SynchronizedSummaryStatistics

public SynchronizedSummaryStatistics()

Construct a SynchronizedSummaryStatistics instance

SynchronizedSummaryStatistics

public SynchronizedSummaryStatistics(SynchronizedSummaryStatistics original)

A copy constructor. Creates a deep-copy of the original.

Parameters:

original - the SynchronizedSummaryStatistics instance to copy

Throws:

NullArgumentException - if original is null

Method Detail

getSummary

public StatisticalSummary getSummary()

Return a StatisticalSummaryValues instance reporting current statistics.

Overrides:

getSummary in class SummaryStatistics

Returns:

Current values of statistics

addValue

public void addValue(double value)

Add a value to the data

Overrides:

addValue in class SummaryStatistics

Parameters:

value - the value to add

getN

public long getN()

Returns the number of available values

Specified by:

getN in interface StatisticalSummary

Overrides:

getN in class SummaryStatistics

Returns:

The number of available values

getSum

public double getSum()

Returns the sum of the values that have been added

Specified by:

getSum in interface StatisticalSummary

Overrides:

getSum in class SummaryStatistics

Returns:

The sum or Double.NaN if no values have been added

getSumsq

public double getSumsq()

Returns the sum of the squares of the values that have been added.

Double.NaN is returned if no values have been added.

Overrides:

getSumsq in class SummaryStatistics

Returns:

The sum of squares

getMean

public double getMean()

Returns the mean of the values that have been added.

Double.NaN is returned if no values have been added.

Specified by:

getMean in interface StatisticalSummary

Overrides:

getMean in class SummaryStatistics

Returns:

the mean

getStandardDeviation

public double getStandardDeviation()

Returns the standard deviation of the values that have been added.

Double.NaN is returned if no values have been added.

Specified by:

getStandardDeviation in interface StatisticalSummary

Overrides:

getStandardDeviation in class SummaryStatistics

Returns:

the standard deviation

getVariance

public double getVariance()

Returns the (sample) variance of the available values.

This method returns the bias-corrected sample variance (using n - 1 in the denominator). Use SummaryStatistics.getPopulationVariance() for the non-bias-corrected population variance.

Double.NaN is returned if no values have been added.

Specified by:

getVariance in interface StatisticalSummary

Overrides:

getVariance in class SummaryStatistics

Returns:

the variance

getPopulationVariance

public double getPopulationVariance()

Returns the population variance of the values that have been added.

Double.NaN is returned if no values have been added.

Overrides:

getPopulationVariance in class SummaryStatistics

Returns:

the population variance

getMax

public double getMax()

Returns the maximum of the values that have been added.

Double.NaN is returned if no values have been added.

Specified by:

getMax in interface StatisticalSummary

Overrides:

getMax in class SummaryStatistics

Returns:

the maximum

getMin

public double getMin()

Returns the minimum of the values that have been added.

Double.NaN is returned if no values have been added.

Specified by:

getMin in interface StatisticalSummary

Overrides:

getMin in class SummaryStatistics

Returns:

the minimum

getGeometricMean

public double getGeometricMean()

Returns the geometric mean of the values that have been added.

Double.NaN is returned if no values have been added.

Overrides:

getGeometricMean in class SummaryStatistics

Returns:

the geometric mean

toString

public String toString()

Generates a text report displaying summary statistics from values that have been added.

Overrides:

toString in class SummaryStatistics

Returns:

String with line feeds displaying statistics

clear

public void clear()

Resets all statistics and storage

Overrides:

clear in class SummaryStatistics

equals

public boolean equals(Object object)

Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.

Overrides:

equals in class SummaryStatistics

Parameters:

object - the object to test equality against.

Returns:

true if object equals this

hashCode

public int hashCode()

Returns hash code based on values of statistics

Overrides:

hashCode in class SummaryStatistics

Returns:

hash code

getSumImpl

public StorelessUnivariateStatistic getSumImpl()

Returns the currently configured Sum implementation

Overrides:

getSumImpl in class SummaryStatistics

Returns:

the StorelessUnivariateStatistic implementing the sum

setSumImpl

public void setSumImpl(StorelessUnivariateStatistic sumImpl)

Sets the implementation for the Sum.

This method must be activated before any data has been added - i.e., before addValue has been used to add data; otherwise an IllegalStateException will be thrown.

Overrides:

setSumImpl in class SummaryStatistics

Parameters:

sumImpl - the StorelessUnivariateStatistic instance to use for computing the Sum

getSumsqImpl

public StorelessUnivariateStatistic getSumsqImpl()

Returns the currently configured sum of squares implementation

Overrides:

getSumsqImpl in class SummaryStatistics

Returns:

the StorelessUnivariateStatistic implementing the sum of squares

setSumsqImpl

public void setSumsqImpl(StorelessUnivariateStatistic sumsqImpl)

Sets the implementation for the sum of squares.

This method must be activated before any data has been added - i.e., before addValue has been used to add data; otherwise an IllegalStateException will be thrown.

Overrides:

setSumsqImpl in class SummaryStatistics

Parameters:

sumsqImpl - the StorelessUnivariateStatistic instance to use for computing the sum of squares

getMinImpl

public StorelessUnivariateStatistic getMinImpl()

Returns the currently configured minimum implementation

Overrides:

getMinImpl in class SummaryStatistics

Returns:

the StorelessUnivariateStatistic implementing the minimum

setMinImpl

public void setMinImpl(StorelessUnivariateStatistic minImpl)

Sets the implementation for the minimum.

This method must be activated before any data has been added - i.e., before addValue has been used to add data; otherwise an IllegalStateException will be thrown.

Overrides:

setMinImpl in class SummaryStatistics

Parameters:

minImpl - the StorelessUnivariateStatistic instance to use for computing the minimum

getMaxImpl

public StorelessUnivariateStatistic getMaxImpl()

Returns the currently configured maximum implementation

Overrides:

getMaxImpl in class SummaryStatistics

Returns:

the StorelessUnivariateStatistic implementing the maximum

setMaxImpl

public void setMaxImpl(StorelessUnivariateStatistic maxImpl)

Sets the implementation for the maximum.

This method must be activated before any data has been added - i.e., before addValue has been used to add data; otherwise an IllegalStateException will be thrown.

Overrides:

setMaxImpl in class SummaryStatistics

Parameters:

maxImpl - the StorelessUnivariateStatistic instance to use for computing the maximum

getSumLogImpl

public StorelessUnivariateStatistic getSumLogImpl()

Returns the currently configured sum of logs implementation

Overrides:

getSumLogImpl in class SummaryStatistics

Returns:

the StorelessUnivariateStatistic implementing the log sum

setSumLogImpl

public void setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)

Sets the implementation for the sum of logs.

This method must be activated before any data has been added - i.e., before addValue has been used to add data; otherwise an IllegalStateException will be thrown.

Overrides:

setSumLogImpl in class SummaryStatistics

Parameters:

sumLogImpl - the StorelessUnivariateStatistic instance to use for computing the log sum

getGeoMeanImpl

public StorelessUnivariateStatistic getGeoMeanImpl()

Returns the currently configured geometric mean implementation

Overrides:

getGeoMeanImpl in class SummaryStatistics

Returns:

the StorelessUnivariateStatistic implementing the geometric mean

setGeoMeanImpl

public void setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)

Sets the implementation for the geometric mean.

This method must be activated before any data has been added - i.e., before addValue has been used to add data; otherwise an IllegalStateException will be thrown.

Overrides:

setGeoMeanImpl in class SummaryStatistics

Parameters:

geoMeanImpl - the StorelessUnivariateStatistic instance to use for computing the geometric mean

getMeanImpl

public StorelessUnivariateStatistic getMeanImpl()

Returns the currently configured mean implementation

Overrides:

getMeanImpl in class SummaryStatistics

Returns:

the StorelessUnivariateStatistic implementing the mean

setMeanImpl

public void setMeanImpl(StorelessUnivariateStatistic meanImpl)

Sets the implementation for the mean.

This method must be activated before any data has been added - i.e., before addValue has been used to add data; otherwise an IllegalStateException will be thrown.

Overrides:

setMeanImpl in class SummaryStatistics

Parameters:

meanImpl - the StorelessUnivariateStatistic instance to use for computing the mean

getVarianceImpl

public StorelessUnivariateStatistic getVarianceImpl()

Returns the currently configured variance implementation

Overrides:

getVarianceImpl in class SummaryStatistics

Returns:

the StorelessUnivariateStatistic implementing the variance

setVarianceImpl

public void setVarianceImpl(StorelessUnivariateStatistic varianceImpl)

Sets the implementation for the variance.

This method must be activated before any data has been added - i.e., before addValue has been used to add data; otherwise an IllegalStateException will be thrown.

Overrides:

setVarianceImpl in class SummaryStatistics

Parameters:

varianceImpl - the StorelessUnivariateStatistic instance to use for computing the variance

copy

public SynchronizedSummaryStatistics copy()

Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.

Overrides:

copy in class SummaryStatistics

Returns:

a copy of this

copy

public static void copy(SynchronizedSummaryStatistics source,
        SynchronizedSummaryStatistics dest)

Copies source to dest.

Neither source nor dest can be null.

Acquires synchronization lock on source, then dest before copying.

Parameters:

source - SynchronizedSummaryStatistics to copy

dest - SynchronizedSummaryStatistics to copy to

Throws:

NullArgumentException - if either source or dest is null