CramTest-package: Performs the two sample univariate Cramer Test on two equal...

In CramTest: Univariate Cramer Test on Two Samples of Data

Description

Performs a nonparametric two sample test to identify differences between two groups. The test compares the cumulative distribution estimates by integrating the squared difference.

Details

To perform the Cramer Test on two equal length vectors Data1 and Data2 use the function Cram.test(Data1, Data2, P.Value = T, GridPoints=50). For a more accurate result, increase the value of GridPoints. However a larger GridPoints may result in a slower computation.

Author(s)

Alison Telford

Maintainer: Alison Telford <[e-mail]>

References

For further information, refer to "Properties, Advantages and Modifications of the Cramer test" (submitted for review).

Examples

	sample1 = rnorm(100)
	sample2 = rnorm(100)
	Cram.test(sample1, sample2, P.Value = TRUE, 50)

CramTest documentation built on May 2, 2019, 5:08 a.m.