javanpst.tests.multiple.friedmanTest

Class FriedmanTest

java.lang.Object

javanpst.tests.StatisticalTest

javanpst.tests.multiple.friedmanTest.FriedmanTest

public class FriedmanTest
extends StatisticalTest

The Friedman's test. This test can be applied to reject as null hypothesis that the n medians of the treatments (columns) are equal when applied to k blocks (rows). Ties are broken by the midrank method (e.g. a tie in ranks 6 and 7 is assumed as a 6.5 rank for both values). Variance of the statistic is adjusted as a consequence of ties A multiple-comparisons procedure (Bonferroni-Dunn), applied at 0.10 and 0.05 levels of significance is also provided.

Constructor Summary

Constructors

Constructor and Description
FriedmanTest() Default builder
FriedmanTest(DataTable newData) Builder.

Method Summary

Modifier and Type	Method and Description
void	clearData() Clears the data stored in the test
void	doTest() Performs the test
double	getAvgRanks(int pop) Get average rank of the selected population
double	getPValue() Get p-value
double	getQ() Get Q statistic
double	getS() Get S statistic
java.lang.String	printData() Prints the data stored in the test
java.lang.String	printMultipleComparisonsProcedureReport() Prints a report with the results of the multiple comparisons procedure
java.lang.String	printReport() Prints a report with the results of the test
void	setData(DataTable newData) Sets data to test

Methods inherited from class javanpst.tests.StatisticalTest

isDataReady, isPerformed

Methods inherited from class java.lang.Object

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

Constructor Detail

FriedmanTest

public FriedmanTest()

Default builder

FriedmanTest

public FriedmanTest(DataTable newData)

Builder. Load data to test.

Parameters:

newData - data to test.

Method Detail

clearData

public void clearData()

Clears the data stored in the test

Specified by:

clearData in class StatisticalTest

setData

public void setData(DataTable newData)

Sets data to test

Parameters:

newData - data to test.

doTest

public void doTest()

Performs the test

Specified by:

doTest in class StatisticalTest

getS

public double getS()

Get S statistic

Returns:

S statistic

getQ

public double getQ()

Get Q statistic

Returns:

Q statistic

getPValue

public double getPValue()

Get p-value

Returns:

p-value computed

getAvgRanks

public double getAvgRanks(int pop)

Get average rank of the selected population

Parameters:

pop - population index (from 1 to k)

Returns:

average rank of the population

printData

public java.lang.String printData()

Prints the data stored in the test

Specified by:

printData in class StatisticalTest

Returns:

Data stored

printReport

public java.lang.String printReport()

Prints a report with the results of the test

Specified by:

printReport in class StatisticalTest

Returns:

Output report

printMultipleComparisonsProcedureReport

public java.lang.String printMultipleComparisonsProcedureReport()

Prints a report with the results of the multiple comparisons procedure

Returns:

Output report