lrpca

Function <code>lrpca</code> performs logratio principal component analysis. It returns the variance decomposition, principal components, biplot coordinates and a table with condition indices.

multivariate

Provides functions for multivariate analysis with compositional data. Includes a function for doing compositional canonical correlation analysis. This analysis requires two data matrices of compositions, which can be adequately transformed and used as entries in a specialized program for canonical correlation analysis, that is able to deal with singular covariance matrices. The methodology is described in Graffelman et al. (2017) <doi:10.1101/144584>. Functions for log-ratio principal component analysis with condition number computations and log-ratio discriminant analysis have been added to the package.

Jan Graffelman

ToolsForCoDa

Multivariate Tools for Compositional Data Analysis

lrpca function

<dl> <dt>Xcom</dt>
<dd>A matrix with compositions in its rows</dd></dl>

Arguments

Jan Graffelman (jan.graffelman@upc.edu)

Author

Logratio principal component analysis with condition indices — lrpca

<dl>

 <dt>Xcom</dt>
<dd>A matrix with compositions in its rows</dd>

</dl>

lrpca: Logratio principal component analysis with condition indices

Description

Usage

Value

Arguments

Author

Details

See Also

Examples