Multiple Factor Analysis for Contingency Tables in the FactoMineR Package

We present multiple factor analysis for contingency tables (MFACT) and its implementation in the FactoMineR package. This method, through an option of the MFA function, allows us to deal with multiple contingency or frequency tables, in addition to the categorical and quantitative multiple tables already considered in previous versions of the package. Thanks to this revised function, either a multiple contingency table or a mixed multiple table integrating quantitative, categorical and frequency data can be tackled. The FactoMineR package (Lê et al., 2008; Husson et al., 2011) offers the most commonly used principal component methods: principal component analysis (PCA), correspondence analysis (CA; Benzécri, 1973), multiple correspondence analysis (MCA; Lebart et al., 2006) and multiple factor analysis (MFA; Escofier and Pagès, 2008). Detailed presentations of these methods enriched by numerous examples can be consulted at the website An extension of the MFA function that considers contingency or frequency tables as proposed by Bécue-Bertaut and Pagès (2004, 2008) is detailed in this article. First, an example is presented in order to motivate the approach. Next, the mortality data used to illustrate the method are introduced. Then we briefly describe multiple factor analysis (MFA) and present the principles of its extension to contingency tables. A real example on mortality data illustrates the handling of the MFA function to analyse these multiple tables and, finally, conclusions are presented.

Belchin Kostov , Mónica Bécue-Bertaut , François Husson

CRAN packages used


CRAN Task Views implied by cited packages

Multivariate, Psychometrics


Text and figures are licensed under Creative Commons Attribution CC BY 4.0. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".


For attribution, please cite this work as

Kostov, et al., "The R Journal: Multiple Factor Analysis for Contingency Tables in the FactoMineR Package", The R Journal, 2013

BibTeX citation

  author = {Kostov, Belchin and Bécue-Bertaut, Mónica and Husson, François},
  title = {The R Journal: Multiple Factor Analysis for Contingency Tables in the FactoMineR Package},
  journal = {The R Journal},
  year = {2013},
  note = {},
  doi = {10.32614/RJ-2013-003},
  volume = {5},
  issue = {1},
  issn = {2073-4859},
  pages = {29-38}