org.jscience.physics.nuclear.kinematics.math.statistics
Class LinearFitErrXY

java.lang.Object
  org.jscience.physics.nuclear.kinematics.math.statistics.LinearFitErrXY

All Implemented Interfaces:

Function

public class LinearFitErrXY
extends java.lang.Object
implements Function

Code for fitting a line to data with error bars in both x and y.

Field Summary

double	a y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof
double	b y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof
double	chi2 y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof
double	dof Degrees of freedom = num data points - 2
double	q y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof
double	siga y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof
double	sigb y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof

Constructor Summary

LinearFitErrXY()
Creates a new LinearFitErrXY object.

Method Summary

void	doFit(double[] x, double[] y, double[] sigx, double[] sigy) DOCUMENT ME!
double	getTranslation(double[] x, double[] dx) Calculates a value to translate the x's by to diagonalize the coefficient covariance matrix.
double[]	translate(double[] x, double[] dx) Return an array equal to x with its elements reduced the mean of x.
double	valueAt(double x) DOCUMENT ME!

Methods inherited from class java.lang.Object

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

Field Detail

a

public double a

y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof

b

public double b

y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof

siga

public double siga

y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof

sigb

public double sigb

y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof

chi2

public double chi2

y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof

q

public double q

y=a+bx chi2=full chi2 not reduced q=probability of good fit based on chi2 and dof

dof

public double dof

Degrees of freedom = num data points - 2

Constructor Detail

LinearFitErrXY

public LinearFitErrXY()

Creates a new LinearFitErrXY object.

Method Detail

doFit

public void doFit(double[] x,
                  double[] y,
                  double[] sigx,
                  double[] sigy)
           throws StatisticsException

DOCUMENT ME!

Parameters:

x - DOCUMENT ME!

y - DOCUMENT ME!

sigx - DOCUMENT ME!

sigy - DOCUMENT ME!

Throws:

StatisticsException - DOCUMENT ME!

valueAt

public double valueAt(double x)

DOCUMENT ME!

Specified by:

valueAt in interface Function

Parameters:

x - DOCUMENT ME!

Returns:

DOCUMENT ME!

getTranslation

public double getTranslation(double[] x,
                             double[] dx)

Calculates a value to translate the x's by to diagonalize the coefficient covariance matrix.

Parameters:

x - DOCUMENT ME!

dx - DOCUMENT ME!

Returns:

DOCUMENT ME!

translate

public double[] translate(double[] x,
                          double[] dx)

Return an array equal to x with its elements reduced the mean of x.

Parameters:

x - DOCUMENT ME!

dx - DOCUMENT ME!

Returns:

DOCUMENT ME!