Package com.gengoai.math

Class EnhancedDoubleStatistics

java.lang.Object

com.gengoai.math.EnhancedDoubleStatistics

All Implemented Interfaces:

SerializableDoubleConsumer, Serializable, DoubleConsumer

public final class EnhancedDoubleStatistics
extends Object
implements SerializableDoubleConsumer

Enhanced version of DoubleSummaryStatistics that provides average, variance, and standard deviation.

Author:

David B. Bracewell

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
EnhancedDoubleStatistics()

Method Summary

Modifier and Type	Method	Description
void	accept(double value)
void	clear()	Clears the accumulated values.
void	combine(EnhancedDoubleStatistics other)	Adds the statistics collected by another EnhancedDoubleStatistics object
boolean	equals(Object obj)
double	getAverage()	Gets the average.
double	getCount()	Gets the number items accepted.
double	getMax()	Gets the max.
double	getMin()	Gets the min.
double	getPopulationStandardDeviation()	Gets the population standard deviation.
double	getPopulationVariance()	Gets the population variance.
double	getSampleStandardDeviation()	Gets the sample standard deviation.
double	getSampleVariance()	Gets the sample variance.
double	getSum()	Gets the sum.
double	getSumOfSquares()	Gets the sum of squares.
int	hashCode()
String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface java.util.function.DoubleConsumer

andThen

Constructor Detail

EnhancedDoubleStatistics

public EnhancedDoubleStatistics()

Method Detail

accept

public void accept(double value)

Specified by:

accept in interface DoubleConsumer

clear

public void clear()

Clears the accumulated values.

combine

public void combine(EnhancedDoubleStatistics other)

Adds the statistics collected by another EnhancedDoubleStatistics object

Parameters:

other - the other EnhancedDoubleStatistics to combine

Throws:

NullPointerException - if the other EnhancedDoubleStatistics is null

getCount

public double getCount()

Gets the number items accepted.

Returns:

the count

getSum

public double getSum()

Gets the sum.

Returns:

the sum

getSumOfSquares

public double getSumOfSquares()

Gets the sum of squares.

Returns:

the sum of squares

getAverage

public double getAverage()

Gets the average.

Returns:

the average

getMin

public double getMin()

Gets the min.

Returns:

the min

getMax

public double getMax()

Gets the max.

Returns:

the max

getSampleStandardDeviation

public double getSampleStandardDeviation()

Gets the sample standard deviation.

Returns:

the sample standard deviation

getSampleVariance

public double getSampleVariance()

Gets the sample variance.

Returns:

the sample variance

getPopulationStandardDeviation

public double getPopulationStandardDeviation()

Gets the population standard deviation.

Returns:

the population standard deviation

getPopulationVariance

public double getPopulationVariance()

Gets the population variance.

Returns:

the population variance

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

toString

public String toString()

Overrides:

toString in class Object