Package: GABB 0.3.10

Gregoire Bianchetti

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.

Authors:Gregoire Bianchetti [aut, cre]

GABB_0.3.10.tar.gz
GABB_0.3.10.tar.gz(r-4.7-any)GABB_0.3.10.tar.gz(r-4.6-any)
GABB_0.3.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
GABB/json (API)
NEWS

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

On CRAN:

Conda:

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

1.70 score 4 scripts 202 downloads 4 exports 96 dependencies

Last updated from:30d773269b. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK271
linux-release-x86_64OK151
wasm-releaseOK153

Exports:check_data_for_RDAPCA_RDA_graphicsprep_dataRDA_outputs_synthesis

Dependencies:abindbackportsbase64encbootbroomcarcarDatacliclustercolorspacecorpcorcorrplotcowplotcpp11DerivdigestdoBydplyreggfarverforecastFormulafracdifffsgenericsggforceggplot2ggplotifyggpubrggrepelggsciggsignifgluegridExtragridGraphicsgtableHotellingisobandjsonlitelabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpermutepheatmappillarpkgconfigpolyclippolynompurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivalsystemfontstibbletidyrtidyselecttimeDatetweenrurcautf8vctrsveganviridisLitewithryulab.utilszoo