terpstra.test

Perform the Terpstra version of the multi-ordered-sample test

A collection of multivariate nonparametric methods, selected in part to support an MS level course in nonparametric statistical methods. Methods include adjustments for multiple comparisons, implementation of multivariate Mann-Whitney-Wilcoxon testing, inversion of these tests to produce a confidence region, some permutation tests for linear models, and some algorithms for calculating exact probabilities associated with one- and two- stage testing involving Mann-Whitney-Wilcoxon statistics. Supported by grant NSF DMS 1712839. See Kolassa and Seifu (2013) <doi:10.1016/j.acra.2013.03.006>.

John E Kolassa

MultNonParam

Multivariate Nonparametric Methods

John E. Kolassa

Stephane Jankowski

terpstra.test function

<dl><dt>x</dt>
<dd>A vector of values from all samples.</dd>
<dt>g</dt>
<dd>A vector of group labels.</dd>
<dt>alternative</dt>
<dd>Specification of alternative hypothesis.</dd></dl>

Arguments

Perform the Terpstra version of the multi-ordered-sample test — terpstra.test

<dl>

<dt>x</dt>
<dd>A vector of values from all samples.</dd>


<dt>g</dt>
<dd>A vector of group labels.</dd>


<dt>alternative</dt>
<dd>Specification of alternative hypothesis.</dd>

</dl>

terpstra.test: Perform the Terpstra version of the multi-ordered-sample test

Description

Usage

Value

Arguments

Examples