clrmat

Program <code>clrmat</code> calculates the centred log-ratio transformation
for a matrix of compositions.

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

clrmat function

<dl> <dt>X</dt>
<dd>A matrix of compositions</dd></dl>

Arguments

Jan Graffelman <a href="/link/jan.graffelman%40upc.edu?package=ToolsForCoDa&version=1.1.0" data-mini-rdoc="ToolsForCoDa::jan.graffelman@upc.edu">jan.graffelman@upc.edu</a>

Author

Centred log-ratio transformation — clrmat

<dl>

 <dt>X</dt>
<dd>A matrix of compositions</dd>

</dl>

Jan Graffelman <a href='mailto:jan.graffelman@upc.edu'>jan.graffelman@upc.edu</a>

clrmat: Centred log-ratio transformation

Description

Usage

Value

Arguments

Author

Examples