ambit2.domain.stats

Class Tools

java.lang.Object

ambit2.domain.stats.Tools

public class Tools
extends Object

Title: Various statistical routines

Description:

Copyright: Copyright (c) 2003

Company:

Version:

1.0

Author:

Nina Nikolova

Constructor Summary

Constructors

Constructor and Description
Tools()

Method Summary

Modifier and Type	Method and Description
static long	bins(int numberOfPoints)
static boolean	ExtendedInterval(double[] data, int number, double[] datarange)
static boolean	GaussianClusters(double[][] datamatrix, int npoints, int nfactors, double[] meanvector, int nclusters)
static double[]	max(double[][] points)
static double	max(double[] x, int n)
static double[]	max(Vector points)
static double[]	mean(double[][] points)
static double	mean(double[] x, int n)
static double[]	mean(Vector points)
static double[]	min(double[][] points)
static double	min(double[] x, int n)
static double[]	min(Vector points)
static double	siqr(double[] x, int n)
static double	sres(double sse, int n)
static double	sse(double[] predicted, double[] observed)
static double	std(double[] x, int n) Standard deviation
static double	Sxx(Vector points, double[] mx)
static double	Syy(double[] y, double my)

Methods inherited from class java.lang.Object

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

Constructor Detail

Tools

public Tools()

Method Detail

std

public static double std(double[] x,
                         int n)

Standard deviation

Parameters:

x - array of double

n - number of points in the array

Returns:

standard deviation

mean

public static double mean(double[] x,
                          int n)

Parameters:

x - vector double[]

n - length of the vector

Returns:

standard mean of a vector

min

public static double min(double[] x,
                         int n)

max

public static double max(double[] x,
                         int n)

siqr

public static double siqr(double[] x,
                          int n)

Parameters:

x - double[] vector

n - vector size

Returns:

the sample interquarile range (IQR) of X

ExtendedInterval

public static boolean ExtendedInterval(double[] data,
                                       int number,
                                       double[] datarange)

GaussianClusters

public static boolean GaussianClusters(double[][] datamatrix,
                                       int npoints,
                                       int nfactors,
                                       double[] meanvector,
                                       int nclusters)

max

public static double[] max(double[][] points)

Parameters:

points -

Returns:

double[]

min

public static double[] min(double[][] points)

min

public static double[] min(Vector points)

max

public static double[] max(Vector points)

mean

public static double[] mean(double[][] points)

mean

public static double[] mean(Vector points)

bins

public static long bins(int numberOfPoints)

Sxx

public static double Sxx(Vector points,
                         double[] mx)

Syy

public static double Syy(double[] y,
                         double my)

sse

public static double sse(double[] predicted,
                         double[] observed)

sres

public static double sres(double sse,
                          int n)