CDA.test

Performs a significance test for correspondence discriminant analysis. See Details.

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

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. See Details.</dd> <dt>...</dt>
<dd>other arguments to pass to <code><a href="/link/summary.manova?package=RVAideMemoire&version=0.9-83-7" data-mini-rdoc="RVAideMemoire::summary.manova">summary.manova</a></code>. See Details.</dd></dl>

Arguments

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

Author

Significance test for CDA — 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. See Details.</dd>

 <dt>...</dt>
<dd>other arguments to pass to <code><a href='https://rdrr.io/r/stats/summary.manova.html'>summary.manova</a></code>. See Details.</dd>

</dl>

CDA.test: Significance test for CDA

Description

Usage

Value

Arguments

Author

Details

See Also

Examples