vec_math
Class linearRegression

java.lang.Object
  vec_math.linearRegression

public class linearRegression
extends Object

Class to contain all variables and routines necessary to calculate linear regression. Error only in y. Lit: e.g. Num.Rec, p655ff

Field Summary

double	alin
double	asig
double	blin
double	bsig
double	Chi
boolean	chiValid
double	correlation
double	covariance
boolean	fitSigma
boolean	fitValid
int	N
double	quality
boolean	qualityValid
double	S
double[]	sigma
boolean	Svalid
double	Sx
double	Sxx
double	Sxy
double	Sy
double	Syy
double[]	xi
boolean	XYValid
double[]	yi

Constructor Summary

linearRegression()

Method Summary

void	addPoint(double x, double y, double sig)
void	calcChi() calc chi square.
void	calcLine() Calcualte the regression line.
void	calcQuality() Calculate quality indicators.
void	calcSigmas() Calculate the sigmas of the linear fit e.g.
void	calcSums() Calculate the defining sums.
static void	main(String[] arg)
void	setChi(double chi)
void	setMeasures(double[] x, double[] y, double[] sig)
void	setN(int n)
void	setSums(double s, double sx, double sy, double sxx, double sxy, double syy)

Methods inherited from class java.lang.Object

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

Field Detail

N

public int N

xi

public double[] xi

yi

public double[] yi

sigma

public double[] sigma

XYValid

public boolean XYValid

Chi

public double Chi

chiValid

public boolean chiValid

S

public double S

Sx

public double Sx

Sy

public double Sy

Sxx

public double Sxx

Sxy

public double Sxy

Syy

public double Syy

Svalid

public boolean Svalid

alin

public double alin

blin

public double blin

fitValid

public boolean fitValid

asig

public double asig

bsig

public double bsig

fitSigma

public boolean fitSigma

covariance

public double covariance

correlation

public double correlation

quality

public double quality

qualityValid

public boolean qualityValid

Constructor Detail

linearRegression

public linearRegression()

Method Detail

setMeasures

public void setMeasures(double[] x,
                        double[] y,
                        double[] sig)

Parameters:

x -

y -

sig -

setN

public void setN(int n)

Parameters:

n -

setSums

public void setSums(double s,
                    double sx,
                    double sy,
                    double sxx,
                    double sxy,
                    double syy)

Parameters:

s -

sx -

sy -

sxx -

sxy -

syy -

setChi

public void setChi(double chi)

Parameters:

chi -

calcLine

public void calcLine()

Calcualte the regression line.

calcSigmas

public void calcSigmas()

Calculate the sigmas of the linear fit e.g. of alin and blin.

calcQuality

public void calcQuality()

Calculate quality indicators.

calcSums

public void calcSums()

Calculate the defining sums.

calcChi

public void calcChi()

calc chi square.

addPoint

public void addPoint(double x,
                     double y,
                     double sig)

Parameters:

x -

y -

sig -

main

public static void main(String[] arg)

Parameters:

arg -