Anova

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java.lang.Object
- jhplot.stat.Anova

```
public class Anova
extends 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 Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`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(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(String[] argv)
```

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