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GABB: Facilitation of Data Preparation and Plotting Procedures for RDA and PCA Analyses

Help to the occasional R user for synthesis and enhanced graphical visualization of redundancy analysis (RDA) and principal component analysis (PCA) methods and objects. Inputs are : data frame, RDA (package 'vegan') and PCA (package 'FactoMineR') objects. Outputs are : synthesized results of RDA, displayed in console and saved in tables ; displayed and saved objects of PCA graphic visualization of individuals and variables projections with multiple graphic parameters.

Version: 0.3.8
Imports: dplyr, egg (≥ 0.4.5), ggforce, ggplot2, ggrepel, ggplotify, ggpubr, tidyr, Hotelling, pheatmap, stats, vegan, utils
Suggests: FactoMineR, testthat (≥ 3.0.0)
Published: 2024-02-22
DOI: 10.32614/CRAN.package.GABB
Author: Gregoire Bianchetti [aut, cre]
Maintainer: Gregoire Bianchetti <auguste.blam at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en
Materials: README NEWS
CRAN checks: GABB results

Documentation:

Reference manual: GABB.pdf

Downloads:

Package source: GABB_0.3.8.tar.gz
Windows binaries: r-devel: GABB_0.3.8.zip, r-release: GABB_0.3.8.zip, r-oldrel: GABB_0.3.8.zip
macOS binaries: r-release (arm64): GABB_0.3.8.tgz, r-oldrel (arm64): GABB_0.3.8.tgz, r-release (x86_64): GABB_0.3.8.tgz, r-oldrel (x86_64): GABB_0.3.8.tgz
Old sources: GABB archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GABB to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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