Multiple factor analysis by example using R / Jérôme Pagès, Agrocampus-Ouest, Rennes, France.
By: Pagès, Jérôme [author.].
Series: Chapman & Hall/CRC the R series (CRC Press): Description: xiv, 257 pages : illustrations ; 24 cm.ISBN: 9781482205473 (hardback); 1482205475 (hardback).Subject(s): Factor analysis | R (Computer program language) | Factor analysis | R (Computer program language)Additional physical formats: Electronic version:: No titleDDC classification: 519.5/354 Online resources: Full-text here Also available in electronic format.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| Book | Skoltech library Shelves | QA278.5 .P35 2015 (Browse shelf) | Available | 2000007722 |
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| QA278 .K5935 2014 Analysis of multivariate and high-dimensional data / | QA278.2 .W35 2013 Bayesian and frequentist regression methods / | QA278.5 .J65 2002 Principal component analysis / | QA278.5 .P35 2015 Multiple factor analysis by example using R / | QA278.5 .P75 2008 Principal manifolds for data visualization and dimension reduction / | QA278.8 .I59 2011 Inverse problems and high-dimensional estimation : | QA278.8 .M1 Bayesian nonparametrics data analysis / |
Includes bibliographical references (pages 249-251) 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.
Also available in electronic format.
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