aov.P

<code>aov.P</code> uses permutation tests instead of classic theory tests to run a one-way or two-way ANOVA.

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

aov.P function

<dl><dt>dattab</dt>
<dd>The table on which the ANOVA has to be done, or a vector of responses.</dd>
<dt>treatment</dt>
<dd>If dattab is a table, ignored. If dattab is a vector, a vector of treatment labels.</dd>
<dt>be</dt>
<dd>If dattab is a table, ignored. If dattab is a vector, a vector of end points of blocks. In this case, blocks must form contiguous subvectors of dattab. If null, no blocking.</dd></dl>

Arguments

One-way ANOVA using permutation tests — aov.P

<dl>

<dt>dattab</dt>
<dd>The table on which the ANOVA has to be done, or a vector of responses.</dd>


<dt>treatment</dt>
<dd>If dattab is a table, ignored. If dattab is a vector, a vector of treatment labels.</dd>


<dt>be</dt>
<dd>If dattab is a table, ignored. If dattab is a vector, a vector of end points of blocks. In this case, blocks must form contiguous subvectors of dattab. If null, no blocking.</dd>

</dl>

aov.P: One-way ANOVA using permutation tests

Description

Usage

Value

Arguments

Details