vec_math
Class LineFit

java.lang.Object
  vec_math.LineFit

public abstract class LineFit
extends Object

Abstract class that holds necessary quantities for fitting (xi,yi) data with a given standard deviaition sig_i to a straight line. Note: Which kind of fit to use (e.g. Gaussian least squares) is stated in non-abstract subclasses of LineFit. For unweighed data, indicated by calling setMeasures with null as the sigma array, Weighed is set to false. In that case no quality parameters are available, and the deviation of a and b may be increased. Non-abstract subclasses must handle this.

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[]	sigma
boolean	Weighed
double[]	xi
boolean	XYValid
double[]	yi

Constructor Summary

LineFit()

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

Method Summary

void	addPoint(double x, double y)
void	addPoint(double x, double y, double sig)
abstract void	calcChi()
abstract void	calcLine()
abstract void	calcQuality()
abstract void	calcSigma()
boolean	deletePoint(double x)
boolean	deletePoint(double x, double y, double sig)
boolean	deletePoint(int n)
void	setMeasures(double[] x, double[] y, double[] sig)
void	setN(int n)
abstract void	updateOnAdd(double x, double y, double sig)
abstract void	updateOnDelete(double x, double y, double sig)

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

Weighed

public boolean Weighed

Chi

public double Chi

chiValid

public boolean chiValid

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

LineFit

public LineFit()

LineFit

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

Parameters:

x -

y -

sig -

Method Detail

setMeasures

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

Parameters:

x -

y -

sig -

setN

public void setN(int n)

Parameters:

n -

addPoint

public void addPoint(double x,
                     double y)

Parameters:

x -

y -

addPoint

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

Parameters:

x -

y -

sig -

deletePoint

public boolean deletePoint(double x)

Parameters:

x -

Returns:

boolean

deletePoint

public boolean deletePoint(int n)

Parameters:

n -

Returns:

boolean

deletePoint

public boolean deletePoint(double x,
                           double y,
                           double sig)

Parameters:

x -

y -

sig -

Returns:

boolean

calcLine

public abstract void calcLine()

calcSigma

public abstract void calcSigma()

calcQuality

public abstract void calcQuality()

calcChi

public abstract void calcChi()

updateOnAdd

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

Parameters:

x -

y -

sig -

updateOnDelete

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

Parameters:

x -

y -

sig -