ambit2.groupcontribution.utils.math

Class Statistics

java.lang.Object

ambit2.groupcontribution.utils.math.Statistics

public class Statistics
extends Object

Constructor Summary

Constructors

Constructor and Description
Statistics()

Method Summary

Modifier and Type	Method and Description
static double	corrleationCoefficient(List<Double> v1, List<Double> v2)
static double	corrleationCoefficient(MatrixDouble m1, MatrixDouble m2)
static double	getConcordanceCorrelationCoefficient(List<Double> v1, List<Double> v2)
static double	getConcordanceCorrelationCoefficient(MatrixDouble m1, MatrixDouble m2)
static double	getF(MatrixDouble y, MatrixDouble y_model, int p)
static double	getQ2F1(MatrixDouble y, MatrixDouble y_model, double y_training_mean)
static double	getQ2F2(MatrixDouble y, MatrixDouble y_model)
static double	getQ2F3(MatrixDouble y, MatrixDouble y_model, MatrixDouble y_training)
static double	getR2(MatrixDouble y, MatrixDouble y_model)
static double	getRSS(MatrixDouble m1, MatrixDouble m2)
static double	getTSS(MatrixDouble m1, double meanValue)
static double	mean(double[] m)
static double	mean(List<Double> v)
static double	mean(MatrixDouble m)
static double	meanAbsoluteError(List<Double> v1, List<Double> v2)
static double	meanAbsoluteError(MatrixDouble m1, MatrixDouble m2)
static double	rmsError(List<Double> v1, List<Double> v2)
static double	rmsError(MatrixDouble m1, MatrixDouble m2)
static double	standardError(MatrixDouble m1, MatrixDouble m2, int p)

Methods inherited from class java.lang.Object

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

Constructor Detail

Statistics

public Statistics()

Method Detail

mean

public static double mean(double[] m)

mean

public static double mean(MatrixDouble m)

mean

public static double mean(List<Double> v)

corrleationCoefficient

public static double corrleationCoefficient(MatrixDouble m1,
                                            MatrixDouble m2)

corrleationCoefficient

public static double corrleationCoefficient(List<Double> v1,
                                            List<Double> v2)

rmsError

public static double rmsError(MatrixDouble m1,
                              MatrixDouble m2)

standardError

public static double standardError(MatrixDouble m1,
                                   MatrixDouble m2,
                                   int p)

rmsError

public static double rmsError(List<Double> v1,
                              List<Double> v2)

meanAbsoluteError

public static double meanAbsoluteError(MatrixDouble m1,
                                       MatrixDouble m2)

meanAbsoluteError

public static double meanAbsoluteError(List<Double> v1,
                                       List<Double> v2)

getTSS

public static double getTSS(MatrixDouble m1,
                            double meanValue)

getRSS

public static double getRSS(MatrixDouble m1,
                            MatrixDouble m2)

getR2

public static double getR2(MatrixDouble y,
                           MatrixDouble y_model)

getF

public static double getF(MatrixDouble y,
                          MatrixDouble y_model,
                          int p)

getQ2F1

public static double getQ2F1(MatrixDouble y,
                             MatrixDouble y_model,
                             double y_training_mean)

getQ2F2

public static double getQ2F2(MatrixDouble y,
                             MatrixDouble y_model)

getQ2F3

public static double getQ2F3(MatrixDouble y,
                             MatrixDouble y_model,
                             MatrixDouble y_training)

getConcordanceCorrelationCoefficient

public static double getConcordanceCorrelationCoefficient(MatrixDouble m1,
                                                          MatrixDouble m2)

getConcordanceCorrelationCoefficient

public static double getConcordanceCorrelationCoefficient(List<Double> v1,
                                                          List<Double> v2)