Multiple Factor Analysis by Example Using R

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 the methodology, this book brings together the theoretical and methodological aspects of MFA. It also covers principal component analysis

List of contents

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.

About the author

Jérôme Pagès is a professor of statistics at Agrocampus (Rennes, France), where he heads the Laboratory of Applied Mathematics (LMA²).

Summary

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 the methodology, this book brings together the theoretical and methodological aspects of MFA. It also covers principal component analysis

Product details

• Authors: Jérôme Pagès
• Publisher: Taylor and Francis
• Languages: English
• Product format: Paperback / Softback
• Released: 14.10.2024
• EAN: 9781032924182
• ISBN: 978-1-032-92418-2
• No. of pages: 272
• Weight: 453 g
• Illustrations: schwarz-weiss Illustrationen
• Series: Chapman & Hall/CRC The R Series
• Subjects: Humanities, art, music > Psychology > Theoretical psychology; Non-fiction book > Psychology, esoterics, spirituality, anthroposophy > Psychology: general, reference works; MATHEMATICS / Probability & Statistics / General, COMPUTERS / Mathematical & Statistical Software, PSYCHOLOGY / Research & Methodology, Psychological methodology, Probability & statistics, Mathematical & statistical software, Probability and statistics, Mathematical and statistical software