API documentation of the 'jhplot.stat.Anova' Java class
Anova
jhplot.stat

Anova
jhplot.stat

## Class Anova

• public class Anovaextends Object
Class for performing simple 1-way ANOVA. For multi-way ANOVA, try mathematica.
• ### Constructor Summary

Constructors
Constructor and Description
Anova(double[][] p_data)
Creates a new Anova instance.
• ### Method Summary

All Methods
Modifier and TypeMethod and Description
intgetDOF1()
The first degree of freedom is equal to the number of sample groups, minus 1.
intgetDOF2()
The second degree of freedom is equal to the total number of data points, minus the number of samples.
doublegetF()
Returns the F-value for your data.
double[]getMeans()
Returns an array of means for all of your sample groups.
doublegetP()
Returns the p-value that your data is all drawn from a single distribution.
static voidmain(String[] argv)
voidprintData()
Prettyprints your data and the results of the ANOVA.
voidprintResults()
• ### 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()
• #### 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(String[] argv)

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