Welcome to FactoMineR:
a package
dedicated to Factor Analysis and Data Mining with R,
developed
by F. Husson* , S. Lê*, J. Josse*
and
J. Mazet.
*Applied mathematics department of Agrocampus Rennes
You can download the slides of the SFDS and SSC conference: slides
The FactoMineR package deals with multivariate approach.
- it performs classical methods such as Principal Components Analysis (PCA), Correspondence analysis (CA), Multiple Correspondence Analysis (MCA) and advanced methods;
- it allows to have supplementary informations (individuals, variables, ...);
- it gives a geometrical point of view and a lot of graphs;
- it gives a lot of helps to interpret (automatic description of the dimension, indicators, ...)
- it takes into account a structure on the data (structure on the variables, hierarchy on the variables, structure on the individuals);
- a GUI is available.
MFA, presentation and example