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

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

public class LinearFitErrY
extends java.lang.Object

Given a data set, performs a linear regression, then can be queried for the results. Based on code in Numerical Recipes in C

Field Summary

double[]

residual DOCUMENT ME!

Constructor Summary

LinearFitErrY()
do-nothing initializer to re-use this same code for multiple fits

LinearFitErrY(double[] x, double[] y)
Creates and performs linear regression on unweighted data set.

LinearFitErrY(double[] x, double[] y, double[] sig)
Creates and performs linear regression on weighted data set.

LinearFitErrY(java.io.File batch, java.io.File out)
Creates a new LinearFitErrY object.

Method Summary

double	calculateY(double x) DOCUMENT ME!
void	fit(double[] x, double[] y) DOCUMENT ME!
void	fit(double[] x, double[] y, double[] sig) DOCUMENT ME!
double	get_p_value() DOCUMENT ME!
double	getChiSq() DOCUMENT ME!
int	getDegreesOfFreedom() DOCUMENT ME!
double	getOffset() DOCUMENT ME!
double	getOffsetErr() DOCUMENT ME!
double	getReducedChiSq() DOCUMENT ME!
double	getSlope() DOCUMENT ME!
double	getSlopeErr() DOCUMENT ME!
LinearFitErrY	invertFit() Inverts x and y data sets.
static void	main(java.lang.String[] args) DOCUMENT ME!
java.lang.String	toString() DOCUMENT ME!

Methods inherited from class java.lang.Object

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

Field Detail

residual

public double[] residual

DOCUMENT ME!

Constructor Detail

LinearFitErrY

public LinearFitErrY()

do-nothing initializer to re-use this same code for multiple fits

LinearFitErrY

public LinearFitErrY(double[] x,
                     double[] y,
                     double[] sig)
              throws StatisticsException

Creates and performs linear regression on weighted data set.

Parameters:

x - the x coordinates of the points

y - the y coordinates of the points

sig - the error bars on the y coordinates

Throws:

StatisticsException

LinearFitErrY

public LinearFitErrY(double[] x,
                     double[] y)
              throws StatisticsException

Creates and performs linear regression on unweighted data set.

Parameters:

x - the x coordinates of the points

y - the y coordinates of the points

Throws:

StatisticsException

LinearFitErrY

public LinearFitErrY(java.io.File batch,
                     java.io.File out)
              throws StatisticsException

Creates a new LinearFitErrY object.

Parameters:

batch - DOCUMENT ME!

out - DOCUMENT ME!

Throws:

StatisticsException - DOCUMENT ME!

Method Detail

fit

public void fit(double[] x,
                double[] y,
                double[] sig)
         throws StatisticsException

DOCUMENT ME!

Parameters:

x - DOCUMENT ME!

y - DOCUMENT ME!

sig - DOCUMENT ME!

Throws:

StatisticsException - DOCUMENT ME!

fit

public void fit(double[] x,
                double[] y)
         throws StatisticsException

DOCUMENT ME!

Parameters:

x - DOCUMENT ME!

y - DOCUMENT ME!

Throws:

StatisticsException - DOCUMENT ME!

getSlope

public double getSlope()

DOCUMENT ME!

Returns:

DOCUMENT ME!

getSlopeErr

public double getSlopeErr()

DOCUMENT ME!

Returns:

DOCUMENT ME!

getOffset

public double getOffset()

DOCUMENT ME!

Returns:

DOCUMENT ME!

getOffsetErr

public double getOffsetErr()

DOCUMENT ME!

Returns:

DOCUMENT ME!

getChiSq

public double getChiSq()

DOCUMENT ME!

Returns:

DOCUMENT ME!

getReducedChiSq

public double getReducedChiSq()

DOCUMENT ME!

Returns:

DOCUMENT ME!

getDegreesOfFreedom

public int getDegreesOfFreedom()

DOCUMENT ME!

Returns:

DOCUMENT ME!

get_p_value

public double get_p_value()

DOCUMENT ME!

Returns:

DOCUMENT ME!

calculateY

public double calculateY(double x)

DOCUMENT ME!

Parameters:

x - DOCUMENT ME!

Returns:

DOCUMENT ME!

invertFit

public LinearFitErrY invertFit()
                        throws StatisticsException

Inverts x and y data sets. X error bars are determined using sigy/y ratios. Useful for inverting linear calibrations of positive sets (e.g., silicon detector channel vs. energy).

Returns:

DOCUMENT ME!

Throws:

StatisticsException - DOCUMENT ME!

toString

public java.lang.String toString()

DOCUMENT ME!

Overrides:

toString in class java.lang.Object

Returns:

DOCUMENT ME!

main

public static void main(java.lang.String[] args)

DOCUMENT ME!

Parameters:

args - the command line arguments