R: Upper Tail Probability Plots for Objects of Class kSamples

pp.kSamples {kSamples} | R Documentation

## 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)

[Package kSamples version 1.2-9 Index]