Package: ToolsForCoDa 1.0.9

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_1.0.9.tar.gz
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ToolsForCoDa.pdf |ToolsForCoDa.html✨
ToolsForCoDa/json (API)

# Install 'ToolsForCoDa' in R:
install.packages('ToolsForCoDa', repos = c('https://jangraffelman.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Artificial - Two sets of 3-part compositions
  • PinotNoir - Chemical composition of Pinot Noir wines
  • Tubb - Romano-British pottery oxides
  • bentonites - Isotopic and chemical compositions of bentonites

On CRAN:

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

2.00 score 8 scripts 177 downloads 9 exports 33 dependencies

Last updated 2 months agofrom:e6394e98d4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:canocovcenclrmatlargest.kappaslrccolrldalrpcaternaryplottr

Dependencies:calibrateclicolorspaceCorrelplotcorrplotfansifarverggplot2gluegtableisobandlabelinglatticelifecyclelseimagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithrxtable

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 Nov 01 2024.

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