Exploratory multivariate analysis by example using R / François Husson, Sébastien Lê, Jérôme Pagès.
Material type:
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Dr. S. R. Lasker Library, EWU E-book | Non-fiction | 519.538 FRE 2011 (Browse shelf(Opens below)) | Not for loan | ||||
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Dr. S. R. Lasker Library, EWU Reserve Section | Non-fiction | 519.538 FRE 2011 (Browse shelf(Opens below)) | C-1 | Not For Loan | 27413 | ||
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Dr. S. R. Lasker Library, EWU Circulation Section | Non-fiction | 519.538 FRE 2011 (Browse shelf(Opens below)) | C-2 | Available | 28175 |
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519.537 SOC 2007 Correlated data analysis : | 519.537 SOC 2007 Correlated data analysis : | 519.538 FAM 2001 Multivariate statistical modelling based on generalized linear models / | 519.538 FRE 2011 Exploratory multivariate analysis by example using R / | 519.538 SAA 2000 The analysis of variance : | 519.54 GAS 2002 Statistical inference / | 519.54 GOR 2006 Resampling methods : |
"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...
AS
Saifun Momota
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