Package: ToolsForCoDa 1.1.0

ToolsForCoDa: Multivariate Tools for Compositional Data Analysis

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.

Authors:Jan Graffelman [aut, cre]

ToolsForCoDa_1.1.0.tar.gz
ToolsForCoDa_1.1.0.zip(r-4.7)ToolsForCoDa_1.1.0.zip(r-4.6)ToolsForCoDa_1.1.0.zip(r-4.5)
ToolsForCoDa_1.1.0.tgz(r-4.6-any)ToolsForCoDa_1.1.0.tgz(r-4.5-any)
ToolsForCoDa_1.1.0.tar.gz(r-4.7-any)ToolsForCoDa_1.1.0.tar.gz(r-4.6-any)
ToolsForCoDa_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ToolsForCoDa/json (API)

# Install 'ToolsForCoDa' in R:
install.packages('ToolsForCoDa', repos = c('https://jangraffelman.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • Artificial - Two sets of 3-part compositions
  • bentonites - Isotopic and chemical compositions of bentonites
  • PinotNoir - Chemical composition of Pinot Noir wines
  • Tubb - Romano-British pottery oxides

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 9 scripts 175 downloads 9 exports 23 dependencies

Last updated from:118e968f78. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK152
source / vignettesOK192
linux-release-x86_64OK126
macos-release-arm64OK120
macos-oldrel-arm64OK160
windows-develOK80
windows-releaseOK86
windows-oldrelOK84
wasm-releaseOK108

Exports:canocovcenclrmatlargest.kappaslrccolrldalrpcaternaryplottr

Dependencies:calibratecliCorrelplotcorrplotcpp11farverggplot2gluegtableisobandlabelinglifecyclelseiMASSR6RColorBrewerrlangS7scalesvctrsviridisLitewithrxtable

Multivariate tools for compositional data analysis: the ToolsForCoDA package

Jan Graffelman - Dpt. of Statistics, Universitat Politecnica de Catalunya; Dpt. of Biostatistics, University of Washington

Rendered fromToolsForCoDa.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2025-01-09
Started: 2024-09-02