org.openjdk.jmh.util

Class AbstractStatistics

java.lang.Object

org.openjdk.jmh.util.AbstractStatistics

All Implemented Interfaces:

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

Direct Known Subclasses:

ListStatistics, MultisetStatistics, SingletonStatistics

public abstract class AbstractStatisticsextends Objectimplements Statistics

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
AbstractStatistics()

Method Summary

Methods

Modifier and Type	Method and Description
int	compareTo(Statistics other) Compares this statistics to another one.
int	compareTo(Statistics other, double confidence) Compares this statistics to another one.
double[]	getConfidenceIntervalAt(double confidence) Returns the interval c1, c2 of which there's an 1-alpha probability of the mean being within the interval.
double	getMean()
double	getMeanErrorAt(double confidence) Gets the mean error at given confidence level.
double	getStandardDeviation()
boolean	isDifferent(Statistics other, double confidence) Checks if this statistics statistically different from the given one with the given confidence level.
String	toString()

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.openjdk.jmh.util.Statistics

getMax, getMin, getN, getPercentile, getSum, getVariance

Constructor Detail

AbstractStatistics

public AbstractStatistics()

Method Detail

getConfidenceIntervalAt

public double[] getConfidenceIntervalAt(double confidence)

Returns the interval c1, c2 of which there's an 1-alpha probability of the mean being within the interval.

Specified by:

getConfidenceIntervalAt in interface Statistics

Parameters:

confidence - level

Returns:

the confidence interval

isDifferent

public boolean isDifferent(Statistics other,                  double confidence)

Description copied from interface: Statistics

Checks if this statistics statistically different from the given one with the given confidence level.

Specified by:

isDifferent in interface Statistics

Parameters:

other - statistics to test against

confidence - confidence level (e.g. 0.95)

Returns:

true, if mean difference is statistically significant

getMeanErrorAt

public double getMeanErrorAt(double confidence)

Description copied from interface: Statistics

Gets the mean error at given confidence level.

Specified by:

getMeanErrorAt in interface Statistics

Parameters:

confidence - confidence level (e.g. 0.95)

Returns:

the mean error with the given confidence level

toString

public String toString()

Overrides:

toString in class Object

getMean

public double getMean()

Specified by:

getMean in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary

Specified by:

getMean in interface Statistics

getStandardDeviation

public double getStandardDeviation()

Specified by:

getStandardDeviation in interface org.apache.commons.math3.stat.descriptive.StatisticalSummary

Specified by:

getStandardDeviation in interface Statistics

compareTo

public int compareTo(Statistics other,            double confidence)

Description copied from interface: Statistics

Compares this statistics to another one. Follows the contract of Comparable.

Specified by:

compareTo in interface Statistics

Parameters:

other - statistics to compare against

confidence - confidence level (e.g. 0.99)

Returns:

a negative integer, zero, or a positive integer as this statistics is less than, equal to, or greater than the specified statistics.

compareTo

public int compareTo(Statistics other)

Description copied from interface: Statistics

Compares this statistics to another one. Follows the contract of Comparable.

Specified by:

compareTo in interface Comparable<Statistics>

Specified by:

compareTo in interface Statistics

Parameters:

other - statistics to compare against

Returns:

a negative integer, zero, or a positive integer as this statistics is less than, equal to, or greater than the specified statistics.