genscorestat

Calculates the p-value from the normal approximation to the permutation distribution of a two-sample score statistic.

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

genscorestat function

<dl><dt>scores</dt>
<dd>scores of the data.</dd>
<dt>group</dt>
<dd>numeric or character vector of group identities.</dd>
<dt>correct</dt>
<dd>half the minimal distance between two potential values of the score statistic.</dd></dl>

Arguments

Normal-theory two sample scorestatistic. — genscorestat

<dl>

<dt>scores</dt>
<dd>scores of the data.</dd>


<dt>group</dt>
<dd>numeric or character vector of group identities.</dd>


<dt>correct</dt>
<dd>half the minimal distance between two potential values of the score statistic.</dd>

</dl>

genscorestat: Normal-theory two sample scorestatistic.

Description

Usage

Value

Arguments