net.sf.jaer.util
Class RollingLinearRegression

java.lang.Object
  net.sf.jaer.util.RollingLinearRegression

public class RollingLinearRegression
extends java.lang.Object

Does a moving or rolling linear regression (a linear fit) on updated data. The new data point replaces the oldest data point. Summary statistics holds the rollling values and are updated by subtracting the oldest point and adding the newest one. From Wikipedia article on Ordinary least squares.

Author:

tobi

Field Summary

static int

LENGTH_DEFAULT

Constructor Summary

RollingLinearRegression()
Creates a new instance of RollingLinearRegression

Method Summary

void	addPoint(java.awt.geom.Point2D.Float p) Adds a new point.
float	getIntercept()
int	getLength()
java.util.LinkedList<java.awt.geom.Point2D.Float>	getPoints()
float	getSlope()
static void	main(java.lang.String[] args)
void	setLength(int length) Sets the window length.

Methods inherited from class java.lang.Object

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

Field Detail

LENGTH_DEFAULT

public static final int LENGTH_DEFAULT

See Also:

Constant Field Values

Constructor Detail

RollingLinearRegression

public RollingLinearRegression()

Creates a new instance of RollingLinearRegression

Method Detail

addPoint

public void addPoint(java.awt.geom.Point2D.Float p)

Adds a new point.

Parameters:

p - the point

getLength

public int getLength()

setLength

public void setLength(int length)

Sets the window length. Clears the accumulated data.

Parameters:

length - the number of points to fit

See Also:

LENGTH_DEFAULT

getPoints

public java.util.LinkedList<java.awt.geom.Point2D.Float> getPoints()

getIntercept

public float getIntercept()

getSlope

public float getSlope()

main

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