ABOUT

Author: Etienne CAMENEN

Contact: etienne.camenen@gmail.com

R package:

The RGCCA package is available from the CRAN repository (v2.1.2; https://cran.r-project.org/web/packages/RGCCA).

This tool is based on a version available on github (v3.0; https://github.com/rgcca-factory/RGCCA).

R/SGCCA

A user-friendly multi-blocks analysis (Regularized Generalized Canonical Correlation Analysis, RGCCA) as described in [1] and [2] with all default settings predefined. The software produces figures to explore the analysis' results: individuals and variables projected on two components of the multi-block analysis, list of top variables and explained variance in the model.

Working example

From Russett data (RGCCA package): https://github.com/BrainAndSpineInstitute/rgcca_ui/tree/master/inst/extdata

Use agriculture.tsv as a block. Add industry.tsv and politic.tsv for multiblock analysis. connection.tsv could be used as a design matrix and political_system.tsv as a response variable respectively in analysis and graphic settings.

Documentation

• RGCCA: https://cran.r-project.org/web/packages/RGCCA/vignettes/vignette_RGCCA.pdf
• accepted input / https://github.com/BrainAndSpineInstitute/rgcca_ui#input-files
• tutorial: https://github.com/BrainAndSpineInstitute/rgcca_galaxy#readme