Multiple factor analysis by example using R / Jérôme Pagès, Agrocampus-Ouest, Rennes, France.
Material type:
TextSeries: Chapman & Hall/CRC the R series (CRC Press)Publisher: Boca Raton : CRC Press, Taylor & Francis Group, [2015]Copyright date: ©2015Description: xiv, 257 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 9781482205473 (hardback)
- 519.5/354 23
- QA278.5 .P35 2015
- Also available in electronic format.
| Item type | Current library | Call number | Status | Date due | Barcode | |
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Raman Research Institute Library | 519.22 PAG (Browse shelf(Opens below)) | Available | 28379 |
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| 519.22 MON Design and analysis of experiments / | 519.22 MON Numerical methods of statistics | 519.22 MUL Fundamentals of statistics | 519.22 PAG Multiple factor analysis by example using R / | 519.22 PAN Statistical inference: A short course | 519.22 PFA R for college mathematics and statistics / | 519.22 PUR Statistics using R |
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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