## title: “FactoMineR” author: “Francois Husson” output: pdf_document: fig_height: 6 keep_tex: yes html_document: default word_document: default

# Introduction

The FactoMineR package is a package dedicated to exploratory multivariate data analysis using R. One of the main reasons for developing this package is that we felt a need for a multivariate approach closer to our practice via:

- the introduction of ``supplementary’’ information;
- the use of a more geometrical point of view than the one usually adopted by most of the Anglo-American practitioners. Another reason is that obviously it represents a convenient way to implement new methodologies (or methodologies dedicated to the advanced practitioner) as the ones we’re presenting thereafter that take into account different structure on the data such as:
- a partition on the variables;
- a partition on the individuals;
- a hierarchy structure on the variables.

You can see more information about the package with the paper published in the Journal of Statistical Software: https://www.jstatsoft.org/article/view/v025i01/

# MOOC

You can follow freely a MOOC on these methods. You will find videos on the methods and videos on the package FactoMineR: http://factominer.free.fr/course/MOOC.html

# Website

Lot of information are available on the Website: http://factominer.free.fr

You will find many tutorials and a MOOC on exploratory multivariate data analysis methods such as principal component analysis, correspondence analysis, multiple correspondence analysis and multiple factor analysis