javanpst.tests.countData.mcNemarTest

Class McNemarTest

java.lang.Object

javanpst.tests.StatisticalTest

javanpst.tests.countData.mcNemarTest.McNemarTest

public class McNemarTest
extends StatisticalTest

The McNemar test. This test can be applied to determine whether the row and column marginal frequencies of a 2 x 2 contingency table are equal. Three approximations are provided: - Exact p-value (through a binomial distribution) - Asymptotic p-value (through a normal distribution) - Asymptotic p-value (through a chi-square distribution)

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
void	clearData() Clears the data stored in the test
void	doTest() Perform the test
double	getAsymptoticChiPValue() Get asymptotic p-value (Chi-square approximation)
double	getAsymptoticNormalPValue() Get asymptotic p-value (Normal approximation)
double	getExactPValue() Get exact p-value
double	getS() Get S statistic
double	getT() Get T statistic
double	getZ() Get Z statistic
java.lang.String	printData() Prints the data stored in the test
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

McNemarTest

public McNemarTest()

Default builder

McNemarTest

public McNemarTest(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()

Perform the test

Specified by:

doTest in class StatisticalTest

getT

public double getT()

Get T statistic

Returns:

T statistic

getZ

public double getZ()

Get Z statistic

Returns:

Z statistic

getS

public double getS()

Get S statistic

Returns:

S statistic

getExactPValue

public double getExactPValue()

Get exact p-value

Returns:

exact p-value

getAsymptoticNormalPValue

public double getAsymptoticNormalPValue()

Get asymptotic p-value (Normal approximation)

Returns:

asymptotic p-value

getAsymptoticChiPValue

public double getAsymptoticChiPValue()

Get asymptotic p-value (Chi-square approximation)

Returns:

asymptotic p-value

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