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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 |
| 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 |
| Reference manual: | GABB.pdf |
| 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 |
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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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