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.
Method note : for the RDA output synthesis, several functions of the package 'RVAideMemoire', developed by Maxime Hervé, are exploited.
| Version: |
0.3.1 |
| Imports: |
dplyr, egg (≥ 0.4.5), ggforce, ggplot2, ggrepel, ggplotify, ggpubr, tidyr, Hotelling, pheatmap, RVAideMemoire, stats, vegan |
| Suggests: |
FactoMineR, testthat (≥ 3.0.0) |
| Published: |
2023-03-24 |
| 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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=GABB
to link to this page.