lib.easyjava.math.stat

Class SimpleLinearRegressor

java.lang.Object

lib.easyjava.math.stat.SimpleLinearRegressor

public class SimpleLinearRegressor
extends java.lang.Object

Performs least squares linear regression on 2-dimensional data.

Author:

Rob Rua (robrua@alumni.cmu.edu)

Constructor Summary

Constructors

Constructor and Description
SimpleLinearRegressor()
SimpleLinearRegressor(double[] xValues, double[] yValues)

Method Summary

Modifier and Type	Method and Description
void	addObservation(double x, double y) Adds an observation to the regression data
void	clearObservations() Clears all existing regression data
UnivariatePolynomialFunction	regress() Performs the regression, producing a function representing the least-squares linear approximation of the data.
static UnivariatePolynomialFunction	regress(double[] xValues, double[] yValues) Performs regression on the provided data, producing a function representing the least-squares linear approximation of the data.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

SimpleLinearRegressor

public SimpleLinearRegressor()

SimpleLinearRegressor

public SimpleLinearRegressor(double[] xValues,
                             double[] yValues)

Parameters:

xValues - the initial x value observations

yValues - the initial y value observations

Method Detail

regress

public static UnivariatePolynomialFunction regress(double[] xValues,
                                                   double[] yValues)

Performs regression on the provided data, producing a function representing the least-squares linear approximation of the data.

Parameters:

xValues - the data's x-values

yValues - the data's y-values

Returns:

the least-squares linear approximation of the data

addObservation

public void addObservation(double x,
                           double y)

Adds an observation to the regression data

Parameters:

x - the observed x value

y - the observed y value

clearObservations

public void clearObservations()

Clears all existing regression data

regress

public UnivariatePolynomialFunction regress()

Performs the regression, producing a function representing the least-squares linear approximation of the data.

Returns:

the least-squares linear approximation of the data

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object