jhplot.stat

Class LinRegWeighted

java.lang.Object

jhplot.stat.LinRegWeighted

public class LinRegWeighted
extends java.lang.Object

Weighted Least Squares Regression

Constructor Summary

Constructors

Constructor and Description
LinRegWeighted(double[] X, double[] Y, double[] W) Constructor for regression calculations

Method Summary

Modifier and Type	Method and Description
void	doc() Show online documentation.
double	getChi2() Get chi2
int	getDataLength() Get the size of the input data
double[]	getDataX() Get an array with X data
double[]	getDataY() Get an array with Y data
double	getIntercept() Get Intercept
double	getInterceptError() Get the standard error on intercept
double	getMaxX() Get a maximum value for X
double	getMaxY() Get maximum value in Y
double	getMinX() Get a minimum value for X
double	getMinY() Get minimum value for Y
F1D	getResult() Get the fit results
double	getSlope() Get slope
double	getSlopeError() Get the standard error on slope
double	getXBar() Get average x
double	getYBar() Get average Y

Methods inherited from class java.lang.Object

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

Constructor Detail

LinRegWeighted

public LinRegWeighted(double[] X,
                      double[] Y,
                      double[] W)

Constructor for regression calculations

Parameters:

X - is the array of x data

Y - is the array of y data

W - weights of data points

Method Detail

getMinX

public double getMinX()

Get a minimum value for X

Returns:

Minimum value

getMaxX

public double getMaxX()

Get a maximum value for X

Returns:

Max value in X

getMinY

public double getMinY()

Get minimum value for Y

Returns:

minimum Y value

getMaxY

public double getMaxY()

Get maximum value in Y

Returns:

Maximum value in Y

getIntercept

public double getIntercept()

Get Intercept

Returns:

Intercept

getInterceptError

public double getInterceptError()

Get the standard error on intercept

Returns:

standard error on intercept

getSlopeError

public double getSlopeError()

Get the standard error on slope

Returns:

standard error on slope

getSlope

public double getSlope()

Get slope

Returns:

slope

getDataX

public double[] getDataX()

Get an array with X data

Returns:

array with X data

getDataY

public double[] getDataY()

Get an array with Y data

Returns:

array with Y data

getXBar

public double getXBar()

Get average x

Returns:

average X

getYBar

public double getYBar()

Get average Y

Returns:

average Y

getDataLength

public int getDataLength()

Get the size of the input data

Returns:

size of data array

getChi2

public double getChi2()

Get chi2

Returns:

getResult

public F1D getResult()

Get the fit results

Returns:

doc

public void doc()

Show online documentation.