umcg.genetica.math.stats

Class Descriptives

java.lang.Object

umcg.genetica.math.stats.Descriptives

public class Descriptives
extends Object

Author:

harmjan

Field Summary

Fields

Modifier and Type	Field and Description
static double[]	m_sqrtSample
static double[]	m_zScoreToPValue

Constructor Summary

Constructors

Constructor and Description
Descriptives()

Method Summary

Modifier and Type	Method and Description
static double	absSum(double[] v)
static double	convertZscoreToPvalue(double zScore)
static double	getSqrt(int nrTotalSamples)
static int	getZScorePvalueIndex(double zScore)
static void	initializeZScoreToPValue()
static void	lookupSqrt(int totalNrSamples)
static double	mean(double[] v)
static Pair<Double,Double>	mean(double[] v, double[] w) Simultainiusly calculates mean for two double[] of the same lengths Warning: Does not check if the lenght is identical!
static double	mean(float[] v) Calculate the mean for an array of floats
static double	sum(double[] v)
static double	variance(double[] v)
static double	variance(double[] v, double mean)
static double	variance(float[] v, double mean) Calculate the variance for an array of floats
static double	zScore(double value, double mean, double variance)

Methods inherited from class java.lang.Object

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

Field Detail

m_zScoreToPValue

public static double[] m_zScoreToPValue

m_sqrtSample

public static double[] m_sqrtSample

Constructor Detail

Descriptives

public Descriptives()

Method Detail

mean

public static double mean(float[] v)

Calculate the mean for an array of floats

Parameters:

v - The array of floats to calculate the mean for

Returns:

The mean of the float array

variance

public static double variance(float[] v,
                              double mean)

Calculate the variance for an array of floats

Parameters:

v - The array of floats for which the variance should be calculated

mean - The mean of the array of floats

Returns:

The variance for the array of floats

lookupSqrt

public static void lookupSqrt(int totalNrSamples)

initializeZScoreToPValue

public static void initializeZScoreToPValue()

convertZscoreToPvalue

public static double convertZscoreToPvalue(double zScore)

getZScorePvalueIndex

public static int getZScorePvalueIndex(double zScore)

zScore

public static double zScore(double value,
                            double mean,
                            double variance)

mean

public static double mean(double[] v)

mean

public static Pair<Double,Double> mean(double[] v,
                                       double[] w)

Simultainiusly calculates mean for two double[] of the same lengths Warning: Does not check if the lenght is identical!

Parameters:

v -

w -

Returns:

variance

public static double variance(double[] v)

variance

public static double variance(double[] v,
                              double mean)

getSqrt

public static double getSqrt(int nrTotalSamples)

sum

public static double sum(double[] v)

absSum

public static double absSum(double[] v)