Multiple Factor Analysis to analyse several data tables

July 18, 2017

(This article was first published on François Husson, and kindly contributed to R-bloggers)

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.




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