pairwise.CDA.test

Performs pairwise comparisons between group levels with corrections for multiple testing, using <code>CDA.test</code>.

Contains miscellaneous functions useful in biostatistics, mostly univariate and multivariate testing procedures with a special emphasis on permutation tests. Many functions intend to simplify user's life by shortening existing procedures or by implementing plotting functions that can be used with as many methods from different packages as possible.

Maxime Herve9

RVAideMemoire

Testing and Plotting Procedures for Biostatistics

pairwise.CDA.test function

<dl> <dt>X</dt>
<dd>a data frame of dependent variables (typically contingency or presence-absence table).</dd> <dt>fact</dt>
<dd>factor giving the groups.</dd> <dt>ncomp</dt>
<dd>an integer giving the number of components to be used for the test. If <code>NULL</code> <code>nlevels(fact)-1</code> are used.</dd> <dt>p.method</dt>
<dd>method for p-values correction. See help of <code><a href="/link/p.adjust?package=RVAideMemoire&version=0.9-83-7" data-mini-rdoc="RVAideMemoire::p.adjust">p.adjust</a></code>.</dd> <dt>...</dt>
<dd>other arguments to pass to <code>CDA.test</code>.</dd></dl>

Arguments

Maxime HERVE &lt;maxime.herve@univ-rennes1.fr&gt;

Author

Pairwise comparisons for CDA — pairwise.CDA.test

<dl>

 <dt>X</dt>
<dd>a data frame of dependent variables (typically contingency or presence-absence table).</dd>

 <dt>fact</dt>
<dd>factor giving the groups.</dd>

 <dt>ncomp</dt>
<dd>an integer giving the number of components to be used for the test. If <code>NULL</code> <code>nlevels(fact)-1</code> are used.</dd>

 <dt>p.method</dt>
<dd>method for p-values correction. See help of <code><a href='https://rdrr.io/r/stats/p.adjust.html'>p.adjust</a></code>.</dd>

 <dt>...</dt>
<dd>other arguments to pass to <code>CDA.test</code>.</dd>

</dl>

pairwise.CDA.test: Pairwise comparisons for CDA

Description

Usage

Value

Arguments

Author

Details

See Also

Examples