Package org.processmining.processcomparisonpetrinetdecomposition.util

Class TTestHelper

java.lang.Object

org.processmining.processcomparisonpetrinetdecomposition.util.TTestHelper

public class TTestHelper
extends java.lang.Object

Constructor Summary

Constructors

Constructor	Description
TTestHelper()

Method Summary

Modifier and Type	Method	Description
static double	cohend(double[] sample1, double[] sample2)	Calculates the effect size between the two sample arrays according to Cohen'd for a two-tailed t-test with unequal variance
static double	cohend(double m1, double m2, double v1, double v2, int n1, int n2)	Calculates the effect size according Cohen's d for a two-tailed t-test with unequal variance.
static double	tTest(double[] sample1, double[] sample2)	Manually calculates the p-value of Welch's t-test for the two given sample arrays.

Methods inherited from class java.lang.Object

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

Constructor Detail

TTestHelper

public TTestHelper()

Method Detail

tTest

public static double tTest(double[] sample1,
                           double[] sample2)

Manually calculates the p-value of Welch's t-test for the two given sample arrays.

Parameters:

sample1 - double array of sample values.

sample2 - double array of sample values.

Returns:

p-value

cohend

public static double cohend(double[] sample1,
                            double[] sample2)

Calculates the effect size between the two sample arrays according to Cohen'd for a two-tailed t-test with unequal variance

Parameters:

sample1 - Non-empty array of values from population 1.

sample2 - Non-empty array of values from population 2.

Returns:

Effect size according to Cohen's d.

cohend

public static double cohend(double m1,
                            double m2,
                            double v1,
                            double v2,
                            int n1,
                            int n2)

Calculates the effect size according Cohen's d for a two-tailed t-test with unequal variance.

Parameters:

m1 - Mean of sample 1.

m2 - Mean of sample 2.

v1 - Variance of sample 1.

v2 - Variance of sample 2.

n1 - Size of sample 1.

n2 - Size of sample 2.

Returns:

Effect size according to Cohen's d.