Multiple Factor Analysis to analyse several data tables

How to take into account and how to compare information from different information sources? Multiple Factor Analysis is a principal Component Methods that deals with datasets that contain quantitative and/or categorical variables that are structured by groups.

Here is a course with videos that present the method named Multiple Factor Analysis.

Multiple Factor Analysis (MFA) allows you to study complex data tables, where a group of individuals is characterized by variables structured as groups, and possibly coming from different information sources. Our interest in the method is due to it being able to analyze a data table as a whole, but also its ability to compare information provided by the various information sources.

Four videos present a course on MFA, highlighting the way to interpret the data. Then  you will find videos presenting the way to implement MFA in FactoMineR.

With this course, you will be stand-alone to perform and interpret results obtain with MFA.

 

• Course
  1. Introduction
  2. Weighting and global PCA
  3. Study of the groups of variables
  4. Complements: qualitative groups, frenquency tables
  5. MFA with FactoMineR
  6. Material on the course videos: the slides, the transcription
• Tutorial in R
  • MFA in practice with FactoMineR

 

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