kSamples (version 1.2-7)

pp.kSamples: 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

# NOT RUN {
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)
# }