272 Pages
94 B/W Illustrations
by
Chapman & Hall
272 Pages
94 B/W Illustrations
by
Chapman & Hall
272 Pages
by
Chapman & Hall
Also available as eBook on:
Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of... Read more
Principal Component Analysis
Multiple Correspondence Analysis
Factor Analysis for Mixed Data
Weighting Groups of Variables
Comparing Clouds of Partial Individuals
Factors Common to Different Groups of Variables
Comparing Groups of Variables and Indscal Model
Qualitative and Mixed Data
Multiple Factor Analysis and Procrustes Analysis
Hierarchical Multiple Factor Analysis
Matrix Calculus and Euclidean Vector Space
Bibliography
Biography
Jérôme Pagès is a professor of statistics at Agrocampus (Rennes, France), where he heads the Laboratory of Applied Mathematics (LMA²).
