Exploratory multivariate analysis by example using R / François Husson, Sébastien Lê, Jérôme Pagès.
Material type: TextLanguage: English Series: Chapman & Hall/CRC computer science and data analysisPublication details: Boca Raton : CRC Press, c2011. Description: xii, 228 p. : ill. ; 25 cmISBN: 9781439835807 (hardback); 1439835802Subject(s): Multivariate analysis | R (Computer program language)DDC classification: 519.538 LOC classification: QA278 | .H87 2011Online resources: WorldCat details | Ebook FulltextItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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E-Book | Dr. S. R. Lasker Library, EWU E-book | Non-fiction | 519.538 FRE 2011 (Browse shelf(Opens below)) | Not for loan | ||||
Text | Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 519.538 FRE 2011 (Browse shelf(Opens below)) | C-1 | Not For Loan | 27413 | ||
Text | Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 519.538 FRE 2011 (Browse shelf(Opens below)) | C-2 | Available | 28175 |
"A Chapman & Hall book".
Includes bibliographical references and index.
TOC Principal component analysis (PCA) --
Correspondence analysis (CA) --
Multiple correspondence analysis (MCA) --
Clustering
Summary:
"An introduction to exploratory techniques for multivariate data analysis, this book covers the key methodology, including principal components analysis, correspondence analysis, mixed models and multiple factor analysis. The authors take a practical approach, with examples leading the discussion of the methods and lots of graphics to emphasize visualization. They present the concepts in the most intuitive way Read more...
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Saifun Momota
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