Package weka.experiment
Class PairedStats
java.lang.Object
weka.experiment.PairedStats
- All Implemented Interfaces:
RevisionHandler
- Direct Known Subclasses:
PairedStatsCorrected
A class for storing stats on a paired comparison (t-test and correlation)
- Version:
- $Revision: 14315 $
- Author:
- Len Trigg (trigg@cs.waikato.ac.nz)
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Field Summary
FieldsModifier and TypeFieldDescriptiondoubleThe correlation coefficientdoubleThe number of data points seendoubleThe probability of obtaining the observed differencesintA significance indicator: 0 if the differences are not significant > 0 if x significantly greater than y < 0 if x significantly less than yThe stats associated with the paired differencesdoubleThe significance level for comparisonsThe stats associated with the data in column 1doubleThe sum of the productsThe stats associated with the data in column 2 -
Constructor Summary
ConstructorsConstructorDescriptionPairedStats(double sig) Creates a new PairedStats object with the supplied significance level. -
Method Summary
Modifier and TypeMethodDescriptionvoidadd(double[] value1, double[] value2) Adds an array of observed pair of values.voidadd(double value1, double value2) Add an observed pair of values.voidCalculates the derived statistics (significance etc).intGets the degrees of freedom.Returns the revision string.static voidTests the paired stats object from the command line.voidsetDegreesOfFreedom(int d) Sets the degrees of freedom (if calibration is required).voidsubtract(double[] value1, double[] value2) Removes an array of observed pair of values.voidsubtract(double value1, double value2) Removes an observed pair of values.toString()Returns statistics on the paired comparison.
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Field Details
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xStats
The stats associated with the data in column 1 -
yStats
The stats associated with the data in column 2 -
differencesStats
The stats associated with the paired differences -
differencesProbability
public double differencesProbabilityThe probability of obtaining the observed differences -
correlation
public double correlationThe correlation coefficient -
xySum
public double xySumThe sum of the products -
count
public double countThe number of data points seen -
differencesSignificance
public int differencesSignificanceA 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 sigLevelThe significance level for comparisons
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Constructor Details
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PairedStats
public PairedStats(double sig) Creates a new PairedStats object with the supplied significance level.- Parameters:
sig- the significance level for comparisons
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Method Details
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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 1value2- the value from column 2
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subtract
public void subtract(double value1, double value2) Removes an observed pair of values.- Parameters:
value1- the value from column 1value2- the value from column 2
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add
public void add(double[] value1, double[] value2) Adds an array of observed pair of values.- Parameters:
value1- the array containing values from column 1value2- the array containing values from column 2
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subtract
public void subtract(double[] value1, double[] value2) Removes an array of observed pair of values.- Parameters:
value1- the array containing values from column 1value2- the array containing values from column 2
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calculateDerived
public void calculateDerived()Calculates the derived statistics (significance etc). -
toString
Returns statistics on the paired comparison. -
getRevision
Returns the revision string.- Specified by:
getRevisionin interfaceRevisionHandler- Returns:
- the revision
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main
Tests the paired stats object from the command line. reads line from stdin, expecting two values per line.- Parameters:
args- ignored.
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