All you need to know on Multiple Factor Analysis …

Multiple facrtor analysis deals with dataset where variables are organized in groups. Typically, from data coming from different sources of variables. The method highlights a common structure of all the groups, and the specificity of each group. It allows to compare the results of several PCAs or MCAs in a unique frame of reference. The groups of variables can be continuous, categorical or can be a contingency table.

Implementation with R software

See this video and the audio transcription of this video:

Course videos

Theorectical and practical informations on Multiple Factor Analysis are available in these 4 course videos:

1. Introduction
2. Weighting and global PCA
3. Study of the groups of variables
4. Complements: qualitative groups, frenquency tables

Here are the slides and the audio transcription of the course.

Materials

Here is the material used in the videos:

• Sensory jurys data: the data set  –  Rmarkdown– the script with the outputs
• Sensory groups data: Rmarkdown – the script with the outputs