TY  - BOOK
AU  - Pages,Jerome
TI  - Multiple factor analysis by example using R
T2  - Chapman & Hall/CRC the R series
SN  - 9781482205473 (hardback)
U1  - 000SA.071 23
PY  - 2015///
CY  - Boca Raton :  
PB  - CRC Press, 
KW  - Factor analysis
KW  - R (Computer program language)
N1  - Includes bibliographical references and index; 1. Principal component analysis --
 2. Multiple correspondence analysis --
 3. Factorial analysis of mixed data --
 4. Weighting groups of variables --
 5. Comparing clouds of partial individuals --
 6. Factors common to different groups of variables --
 7. Comparing groups variables and Indscal model --
 8. Qualitative and mixed data --
 9. Multiple factor analysis and Procrustes analysis --
 10. Hierarchial multiple factor analysis --
 11. Matrix calculus and Euclidean vector space --
Bibliography --
Index
N2  - 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 how to implement MFA using an R package (FactoMineR)
ER  -