Package org.openjdk.jmh.util

Class ListStatistics

java.lang.Object

org.openjdk.jmh.util.AbstractStatistics

org.openjdk.jmh.util.ListStatistics

All Implemented Interfaces:

Serializable, Comparable<Statistics>, org.apache.commons.math3.stat.descriptive.StatisticalSummary, Statistics

public class ListStatistics
extends AbstractStatistics

Calculate statistics over a list of doubles.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor	Description
ListStatistics()
ListStatistics(double[] samples)
ListStatistics(long[] samples)

Method Summary

Modifier and Type	Method	Description
void	addValue(double d)
int[]	getHistogram(double[] levels)	Returns the histogram for this statistics.
double	getMax()	Returns the maximum for this statistics.
double	getMin()	Returns the minimum for this statistics.
long	getN()	Returns the number of samples in this statistics.
double	getPercentile(double rank)	Returns the percentile at given rank.
Iterator<Map.Entry<Double,Long>>	getRawData()	Returns the raw data for this statistics.
double	getSum()	Returns the sum of samples in this statistics.
double	getVariance()	Returns the variance for this statistics.

Methods inherited from class org.openjdk.jmh.util.AbstractStatistics

compareTo, compareTo, getConfidenceIntervalAt, getMean, getMeanErrorAt, getStandardDeviation, isDifferent, toString

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

ListStatistics

public ListStatistics()

ListStatistics

public ListStatistics(double[] samples)

ListStatistics

public ListStatistics(long[] samples)

Method Detail

addValue

public void addValue(double d)

getMax

public double getMax()

Description copied from interface: Statistics

Returns the maximum for this statistics.

Returns:

maximum

getMin

public double getMin()

Description copied from interface: Statistics

Returns the minimum for this statistics.

Returns:

minimum

getN

public long getN()

Description copied from interface: Statistics

Returns the number of samples in this statistics.

Returns:

number of samples

getSum

public double getSum()

Description copied from interface: Statistics

Returns the sum of samples in this statistics.

Returns:

sum

getPercentile

public double getPercentile(double rank)

Description copied from interface: Statistics

Returns the percentile at given rank.

Parameters:

rank - the rank, [0..100]

Returns:

percentile

getHistogram

public int[] getHistogram(double[] levels)

Description copied from interface: Statistics

Returns the histogram for this statistics. The histogram bin count would be equal to number of levels, minus one; so that each i-th bin is the number of samples in [i-th, (i+1)-th) levels.

Parameters:

levels - levels

Returns:

histogram data

getRawData

public Iterator<Map.Entry<Double,Long>> getRawData()

Description copied from interface: Statistics

Returns the raw data for this statistics. This data can be useful for custom postprocessing and statistics computations. Note, that values of multiple calls may not be unique. Ordering of the values is not specified.

Returns:

iterator to raw data. Each item is pair of actual value and number of occurrences of this value.

getVariance

public double getVariance()

Description copied from interface: Statistics

Returns the variance for this statistics.

Returns:

variance