edu.mit.util.stats
Class Anova

java.lang.Object
  edu.mit.util.stats.Anova

public class Anova
extends java.lang.Object

Class for performing simple 1-way ANOVA. For multi-way ANOVA, try mathematica.

Version:

1.0

Author:

Jacob Eisenstein

Constructor Summary

Anova(double[][] p_data)
Creates a new Anova instance.

Method Summary

int	getDOF1() The first degree of freedom is equal to the number of sample groups, minus 1.
int	getDOF2() The second degree of freedom is equal to the total number of data points, minus the number of samples.
double	getF() Returns the F-value for your data.
double[]	getMeans() Returns an array of means for all of your sample groups.
double	getP() Returns the p-value that your data is all drawn from a single distribution.
static void	main(java.lang.String[] argv)
void	printData() Prettyprints your data and the results of the ANOVA.
void	printResults() Pretty prints your results.

Methods inherited from class java.lang.Object

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

Constructor Detail

Anova

public Anova(double[][] p_data)

Creates a new Anova instance. Pass in the samples as an array of double arrays. Naturally, they may have different sizes.

Parameters:

p_data - a double[][] value

Method Detail

printData

public void printData()

Prettyprints your data and the results of the ANOVA.

printResults

public void printResults()

Pretty prints your results.

getP

public double getP()

Returns the p-value that your data is all drawn from a single distribution. Lower p means you have an effect that is more likely to be significant.

Returns:

a double value

getF

public double getF()

Returns the F-value for your data. Sometimes people like to give this along with the p-value in publications.

Returns:

a double value

getDOF1

public int getDOF1()

The first degree of freedom is equal to the number of sample groups, minus 1.

Returns:

an int value

getDOF2

public int getDOF2()

The second degree of freedom is equal to the total number of data points, minus the number of samples.

Returns:

an int value

getMeans

public double[] getMeans()

Returns an array of means for all of your sample groups.

Returns:

a double[] value

main

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