RV.randtest

performs a Monte-Carlo Test on the sum of eigenvalues of a co-inertia 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

RV.randtest function

<dl> <dt>df1, df2</dt>
<dd>two data frames with the same rows</dd> <dt>nrepet</dt>
<dd>the number of permutations</dd> <dt>...</dt>
<dd>further arguments passed to or from other methods</dd></dl>

Arguments

Daniel Chessel and Jean Thioulouse

Author

Monte-Carlo Test on the sum of eigenvalues of a co-inertia analysis (in C++ with Rcpp). — RV.randtest

<dl>

 <dt>df1, df2</dt>
<dd>two data frames with the same rows</dd>

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

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

</dl>

RV.randtest: Monte-Carlo Test on the sum of eigenvalues of a co-inertia analysis (in C++ with Rcpp).

Description

Usage

Value

Arguments

Author

References

Examples