FactoMineR


(with Husson, F. & Lê, S.) The FactoMineR package is dedicated to principal components methods to explore, sum­-up and visualize data. Dimensionality reduction methods include PCA, correspondence analysis (CA) for count data such as documents-­words data, multiple correspondence analysis (MCA) for categorical data, factorial analysis of mixed data (FAMD) for both types of variables as well as methods for groups of variables, of individuals (multiple factorial analysis, MFA), for hierarchy …

[FactoMineR website] – [CRAN package] – [Youtube video] – [JSS paper]