umcg.genetica.math.stats

Class Correlation

java.lang.Object

umcg.genetica.math.stats.Correlation

public class Correlation
extends Object

Author:

harmjan

Field Summary

Fields

Modifier and Type	Field and Description
static double[][]	m_correlationToZScore

Constructor Summary

Constructors

Constructor and Description
Correlation()

Method Summary

Modifier and Type	Method and Description
static double	convertCorrelationToZScore(int length, double correlation)
static double	correlate(double[] x, double[] y) Fast correlation of two double[]
static double	correlate(double[] a1, double[] a2, double mean1, double mean2, double var1, double var2)
static double	correlate(double meanX, double meanY, double[] x, double[] y) Fast correlation of two double[] with their mean values
static double	correlateMeanCenteredData(double[] x, double[] y, double sdXsdY)
static double	correlateMeanCenteredData(double[] x, double[] y, double varX, double varY)
static void	correlationToZScore(int maxNrSamples)
static double	covariate(double[] x, double[] y) Fast covariation of two double[] ToDo change correlateMeanCenteredData code to covariate code! ToDo add test
static double	covariate(double meanX, double meanY, double[] x, double[] y) Fast covariation of two double[] with their mean values ToDo change correlateMeanCenteredData code to covariate code! ToDo add test
static double	rankCorrelate(double[] x, double[] y)

Methods inherited from class java.lang.Object

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

Field Detail

m_correlationToZScore

public static double[][] m_correlationToZScore

Constructor Detail

Correlation

public Correlation()

Method Detail

rankCorrelate

public static double rankCorrelate(double[] x,
                                   double[] y)

correlationToZScore

public static void correlationToZScore(int maxNrSamples)

correlateMeanCenteredData

public static double correlateMeanCenteredData(double[] x,
                                               double[] y,
                                               double varX,
                                               double varY)

correlateMeanCenteredData

public static double correlateMeanCenteredData(double[] x,
                                               double[] y,
                                               double sdXsdY)

correlate

public static double correlate(double[] x,
                               double[] y)

Fast correlation of two double[]

Parameters:

x -

y -

Returns:

correlate

public static double correlate(double meanX,
                               double meanY,
                               double[] x,
                               double[] y)

Fast correlation of two double[] with their mean values

Parameters:

x -

y -

meanX -

meanY -

Returns:

covariate

public static double covariate(double[] x,
                               double[] y)

Fast covariation of two double[] ToDo change correlateMeanCenteredData code to covariate code! ToDo add test

Parameters:

x -

y -

Returns:

covariate

public static double covariate(double meanX,
                               double meanY,
                               double[] x,
                               double[] y)

Fast covariation of two double[] with their mean values ToDo change correlateMeanCenteredData code to covariate code! ToDo add test

Parameters:

x -

y -

meanX -

meanY -

Returns:

convertCorrelationToZScore

public static double convertCorrelationToZScore(int length,
                                                double correlation)

correlate

public static double correlate(double[] a1,
                               double[] a2,
                               double mean1,
                               double mean2,
                               double var1,
                               double var2)