randtest.pcaiv

randtest.pcaivortho

an object of class <code>pcaiv</code>, <code>pcaivortho</code> or <code>caiv</code>

xtest

nrepet

further arguments passed to or from other methods

&#8230;

Performs a Monte-Carlo test on on the percentage of explained (i.e.
 constrained) inertia. The statistic is the ratio of the inertia (sum
 of eigenvalues) of the
 constrained analysis divided by the inertia of the unconstrained analysis.

multivariate

nonparametric

Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.

Aurélie Siberchicot

ade4

Analysis of Ecological Data: Exploratory and Euclidean Methods
in Environmental Sciences

randtest.pcaiv function

<dl> <dt>xtest</dt>
<dd>an object of class <code>pcaiv</code>, <code>pcaivortho</code> or <code>caiv</code></dd> <dt>nrepet</dt>
<dd>the number of permutations</dd> <dt>...</dt>
<dd>further arguments passed to or from other methods</dd></dl>

Arguments

Stéphane Dray <a href="/link/stephane.dray%40univ-lyon1.fr?package=ade4&version=1.7-19" data-mini-rdoc="ade4::stephane.dray@univ-lyon1.fr">stephane.dray@univ-lyon1.fr</a>, original code
 by Raphaël Pélissier

Author

Monte-Carlo Test on the percentage of explained (i.e.
  constrained) inertia — randtest.pcaiv

<dl>

 <dt>xtest</dt>
<dd>an object of class <code>pcaiv</code>, <code>pcaivortho</code> or <code>caiv</code></dd>

 <dt>nrepet</dt>
<dd>the number of permutations</dd>

 <dt>...</dt>
<dd>further arguments passed to or from other methods</dd>

</dl>

Stéphane Dray <a href='mailto:stephane.dray@univ-lyon1.fr'>stephane.dray@univ-lyon1.fr</a>, original code
 by Raphaël Pélissier

randtest.pcaiv: Monte-Carlo Test on the percentage of explained (i.e. constrained) inertia

Description

Usage

Value

Arguments

Author

Examples