vec_math
Class gaussLineFit

java.lang.Object
  vec_math.LineFit
      vec_math.gaussLineFit

public class gaussLineFit
extends LineFit

Class to contain all variables and routines necessary to calculate a gaussian (least squares) line fit thru given points (xi, yi, sig_i). Error only in y. Lit: e.g. Num.Rec, p655ff. Extends the abstract base class LineFit.

Field Summary

double	S
boolean	Svalid
double	Sx
double	Sxx
double	Sxy
double	Sy
double	Syy

Fields inherited from class vec_math.LineFit

alin, asig, blin, bsig, Chi, chiValid, correlation, covariance, fitSigma, fitValid, N, quality, qualityValid, sigma, Weighed, xi, XYValid, yi

Constructor Summary

gaussLineFit()

gaussLineFit(double[] x, double[] y, double[] sig)

Method Summary

void	calcChi() calc chi square.
void	calcLine() Calcualte the regression line.
void	calcQuality() Calculate quality indicators.
void	calcSigma() 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	setSums(double s, double sx, double sy, double sxx, double sxy, double syy)
protected void	updateFlag() Update all true qualities that can be derived by the knowledge of the various Sums, without knowledge wether a point has been added or removed.
void	updateOnAdd(double x, double y, double sig)
void	updateOnDelete(double x, double y, double sig)

Methods inherited from class vec_math.LineFit

addPoint, addPoint, deletePoint, deletePoint, deletePoint, setMeasures, setN

Methods inherited from class java.lang.Object

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

Field Detail

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

Constructor Detail

gaussLineFit

public gaussLineFit()

gaussLineFit

public gaussLineFit(double[] x,
                    double[] y,
                    double[] sig)

Parameters:

x -

y -

sig -

Method Detail

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.

Specified by:

calcLine in class LineFit

calcSigma

public void calcSigma()

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

Specified by:

calcSigma in class LineFit

calcQuality

public void calcQuality()

Calculate quality indicators.

Specified by:

calcQuality in class LineFit

calcSums

public void calcSums()

Calculate the defining sums.

calcChi

public void calcChi()

calc chi square.

Specified by:

calcChi in class LineFit

updateOnAdd

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

Specified by:

updateOnAdd in class LineFit

Parameters:

x -

y -

sig -

updateOnDelete

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

Specified by:

updateOnDelete in class LineFit

Parameters:

x -

y -

sig -

updateFlag

protected void updateFlag()

Update all true qualities that can be derived by the knowledge of the various Sums, without knowledge wether a point has been added or removed.

main

public static void main(String[] arg)

Parameters:

arg -