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ToolsForCoDa
View on CRAN: Click
here
Download and install ToolsForCoDa package within the R console
Install from CRAN:
install.packages("ToolsForCoDa")
Install from Github:
library("remotes")
install_github("cran/ToolsForCoDa")
Install by package version:
library("remotes")
install_version("ToolsForCoDa", "1.1.0")
Attach the package and use:
library("ToolsForCoDa")
Maintained by
Jan Graffelman
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-13
Latest Update: 2021-09-20
Description:
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>. A function for log-ratio principal component analysis with condition number computations has been added to the package.
How to cite:
Jan Graffelman (2017). ToolsForCoDa: Multivariate Tools for Compositional Data Analysis. R package version 1.1.0, https://cran.r-project.org/web/packages/ToolsForCoDa. Accessed 18 Feb. 2025.
Previous versions and publish date:
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Complete documentation for ToolsForCoDa
Functions, R codes and Examples using
the ToolsForCoDa R package
Some associated functions: Artificial . bentonites . canocov . cen . clrmat . largest.kappas . lrpca . tr .
Some associated R codes: canocov.R . cen.R . clrmat.R . largest.kappas.R . lrpca.R . tr.R . Full ToolsForCoDa package functions and examples
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