| Description |
1 online resource : illustrations |
| Series |
Chapman & Hall/CRC the R series |
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Chapman & Hall/CRC the R series (CRC Press)
|
| Bibliography |
Includes bibliographical references. |
| Contents |
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. |
| 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 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). The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The. |
| Subject |
R (Computer program language) -- Statistical methods.
|
|
Factor analysis.
|
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R (Langage de programmation) -- Méthodes statistiques. |
|
Analyse factorielle. |
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Factor analysis |
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Analyse factorielle. |
|
R (logiciel) |
| Other Form: |
Print version: Pagès, Jérôme. Multiple Factor Analysis by Example Using R. Hoboken : Taylor and Francis, ©2014 9781482205473 |
| ISBN |
9781482205480 (electronic bk.) |
|
1482205483 (electronic bk.) |
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9781322635521 (MyiLibrary) |
|
1322635528 (MyiLibrary) |
|
9781498786690 |
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1498786693 |
|
9780429171086 (electronic bk.) |
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0429171080 (electronic bk.) |
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(hardback) |
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(hardback) |
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