pp.kSamples: Upper Tail Probability Plots for Objects of Class kSamples

In kSamples: K-Sample Rank Tests and their Combinations

Upper Tail Probability Plots for Objects of Class kSamples

Description

This function plots upper tail probabilities of the limiting distribution against the corresponding exact or simulated probabilities, both on a log-scale.

Usage

pp.kSamples(x) 

Arguments

x	an object of class kSamples

Details

Objects of class kSamples are produced by any of the following functions

ad.test Anderson-Darling k-sample test.

ad.test.combined Combined Anderson-Darling k-sample tests.

qn.test QN rank scores test.

qn.test.combined Combined QN rank scores tests.

contingency2xt test for 2 * t contingency table.

contingency2xt.comb test for the combination of 2 * t contingency tables.

jt.test Jonckheere-Terpstra test.

Steel.test Steel test. This will work only for alternative = "greater" or "two-sided". The approximation quality for "less" is the same as for "greater".

The command pp.kSamples(x) for an object of class kSamples will only produce a plot when the object x contains non-NULL entries for the null distribution. The purpose of this function is to give the user a sense of the asymptotic distribution accuracy.

See Also

ad.test, ad.test.combined, qn.test, qn.test.combined,

contingency2xt, contingency2xt.comb jt.test Steel.test

Examples

qn.out <- qn.test(c(1,3,7,2,9),c(1,4,6,11,2),test="KW",
		method="simulated",dist=TRUE,Nsim=1000) 
pp.kSamples(qn.out)

kSamples documentation built on Oct. 8, 2023, 1:07 a.m.