Chapter 7

Comparing Groups of Variables and Indscal Model

The previous chapters present detailed tools for analysing relationships between groups of variables, both from the point of view of the variables (between-group correlations) and the individuals (comparison of partial clouds). However, when there is a large amount of data (many groups, each with a lot of variables, and a large number of individuals), more general tools are required, at least at first, in order to answer questions such as:

  • Given two groups of variables, can we consider them to be related? In other words: overall, are the two associated partial clouds similar?
  • As is the case for representations of individuals and variables, is it possible to generate graphs in which each ...

Get Multiple Factor Analysis by Example Using R now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.