PairedStats

java.lang.Object
- weka.experiment.PairedStats

All Implemented Interfaces:

RevisionHandler

Direct Known Subclasses:

PairedStatsCorrected
```
public class PairedStats
extends java.lang.Object
implements RevisionHandler
```
A class for storing stats on a paired comparison (t-test and correlation)

Version:

$Revision: 1.10 $

Author:

Len Trigg (trigg@cs.waikato.ac.nz)

Field Summary

Fields
Modifier and Type	Field and Description
`double`	`correlation` The correlation coefficient
`double`	`count` The number of data points seen
`double`	`differencesProbability` The probability of obtaining the observed differences
`int`	`differencesSignificance` A significance indicator: 0 if the differences are not significant > 0 if x significantly greater than y < 0 if x significantly less than y
`Stats`	`differencesStats` The stats associated with the paired differences
`double`	`sigLevel` The significance level for comparisons
`Stats`	`xStats` The stats associated with the data in column 1
`double`	`xySum` The sum of the products
`Stats`	`yStats` The stats associated with the data in column 2

Constructor Summary

Constructors
Constructor and Description

PairedStats(double sig)
Creates a new PairedStats object with the supplied significance level.

Constructors
Constructor and Description
`PairedStats(double sig)` Creates a new PairedStats object with the supplied significance level.

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`add(double[] value1, double[] value2)` Adds an array of observed pair of values.
`void`	`add(double value1, double value2)` Add an observed pair of values.
`void`	`calculateDerived()` Calculates the derived statistics (significance etc).
`int`	`getDegreesOfFreedom()` Gets the degrees of freedom.
`java.lang.String`	`getRevision()` Returns the revision string.
`static void`	`main(java.lang.String[] args)` Tests the paired stats object from the command line.
`void`	`setDegreesOfFreedom(int d)` Sets the degrees of freedom (if calibration is required).
`void`	`subtract(double[] value1, double[] value2)` Removes an array of observed pair of values.
`void`	`subtract(double value1, double value2)` Removes an observed pair of values.
`java.lang.String`	`toString()` Returns statistics on the paired comparison.

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Field Detail
  - xStats
```
public Stats xStats
```
    The stats associated with the data in column 1
  - yStats
```
public Stats yStats
```
    The stats associated with the data in column 2
  - differencesStats
```
public Stats differencesStats
```
    The stats associated with the paired differences
  - differencesProbability
```
public double differencesProbability
```
    The probability of obtaining the observed differences
  - correlation
```
public double correlation
```
    The correlation coefficient
  - xySum
```
public double xySum
```
    The sum of the products
  - count
```
public double count
```
    The number of data points seen
  - differencesSignificance
```
public int differencesSignificance
```
    A significance indicator: 0 if the differences are not significant > 0 if x significantly greater than y < 0 if x significantly less than y
  - sigLevel
```
public double sigLevel
```
    The significance level for comparisons
- Constructor Detail
  - PairedStats
```
public PairedStats(double sig)
```
    Creates a new PairedStats object with the supplied significance level.
    
    Parameters:
    
    sig - the significance level for comparisons
- Method Detail
  - setDegreesOfFreedom
```
public void setDegreesOfFreedom(int d)
```
    Sets the degrees of freedom (if calibration is required).
  - getDegreesOfFreedom
```
public int getDegreesOfFreedom()
```
    Gets the degrees of freedom.
  - add
```
public void add(double value1,
                double value2)
```
    Add an observed pair of values.
    
    Parameters:
    
    value1 - the value from column 1
    
    value2 - the value from column 2
  - subtract
```
public void subtract(double value1,
                     double value2)
```
    Removes an observed pair of values.
    
    Parameters:
    
    value1 - the value from column 1
    
    value2 - the value from column 2
  - add
```
public void add(double[] value1,
                double[] value2)
```
    Adds an array of observed pair of values.
    
    Parameters:
    
    value1 - the array containing values from column 1
    
    value2 - the array containing values from column 2
  - subtract
```
public void subtract(double[] value1,
                     double[] value2)
```
    Removes an array of observed pair of values.
    
    Parameters:
    
    value1 - the array containing values from column 1
    
    value2 - the array containing values from column 2
  - calculateDerived
```
public void calculateDerived()
```
    Calculates the derived statistics (significance etc).
  - toString
```
public java.lang.String toString()
```
    Returns statistics on the paired comparison.
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    the t-test statistics as a string
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface RevisionHandler
    
    Returns:
    
    the revision
  - main
```
public static void main(java.lang.String[] args)
```
    Tests the paired stats object from the command line. reads line from stdin, expecting two values per line.
    
    Parameters:
    
    args - ignored.

Class PairedStats

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

xStats

yStats

differencesStats

differencesProbability

correlation

xySum

count

differencesSignificance

sigLevel

Constructor Detail

PairedStats

Method Detail

setDegreesOfFreedom

getDegreesOfFreedom

add

subtract

add

subtract

calculateDerived

toString

getRevision

main