This page presents series of course videos on clustering methods for analyzing multivariate data. The main objective is either (i) to identify groups of individuals with a similar profile,... [Read more]

In this article, you’ll learn how MFA (Multiple Factor Analysis) works, as well as, how to easily compute and interpret MFA in R using the FactoMineR package.
Recall that MFA is a multivariate... [Read more]

Factor analysis of mixed data (FAMD) is dedicated to analyze a data set containing both categorical and continuous variables.
This article provides a quick start R code and video showing a... [Read more]

This article presents quick start R code and video series for computing MCA (Multiple Correspondence Analysis) in R, using the FactoMineR package. Recall that MCA is used for analyzing... [Read more]

This page shows quick start R code to compute correspondence analysis- CA in R using the FactoMineR package.
Additionaly, we present series of course videos on correspondence analysis, which is a... [Read more]

This article starts by providing a quick start R code for computing PCA in R, using the FactoMineR, and continues by presenting series of PCA video courses (by François Husson).
Recall that PCA... [Read more]

FactoInvestigate makes it easy to generate an automatic report and interpretation of FactoMineR - based principal compoent analyses. The main function provided by the package is the... [Read more]