Artificial

<p>The list object <code>Artificial</code> contains two data frames of 3-part
   compositions. The data refer to the example in Section 3.1 of
   Graffelman et al. (2017)</p>

datasets

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>.

Jan Graffelman

ToolsForCoDa

Multivariate Tools for Compositional Data Analysis

Artificial function

<p>A list containing two data frames containing 100 observations.</p>

Artificial: Two sets of 3-part compositions

Description

Usage

Arguments

Format

References