Exploratory multivariate analysis by example using R [electronic resource] / Fran�cois Husson, S�ebastien L�e, J�er�ome Pag�es.

By: Husson, Fran�coisContributor(s): L�e, S�ebastien | Pag�es, J�er�omeMaterial type: Text

TextSeries: Series in computer science and data analysisPublication details: Boca Raton : CRC Press, 2011. Description: xii, 228 p. : illISBN: 9781439835814 (ebook : PDF)Subject(s): Multivariate analysis | R (Computer program language)Genre/Form: Electronic books.Additional physical formats: No titleOnline resources: Click here to access online Also available in print edition.

Contents:

1. Principal component analysis (PCA) -- 2. Correspondence analysis (CA) -- 3. Multiple correspondence analysis (MCA) -- 4. 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 possible, keeping mathematical content to a minimum or relegating it to the appendices. The book includes examples that use real data from a range of scientific disciplines and implemented using an R package developed by the authors"-- Provided by publisher.

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Includes bibliographical references and index.

1. Principal component analysis (PCA) -- 2. Correspondence analysis (CA) -- 3. Multiple correspondence analysis (MCA) -- 4. Clustering.

"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 possible, keeping mathematical content to a minimum or relegating it to the appendices. The book includes examples that use real data from a range of scientific disciplines and implemented using an R package developed by the authors"-- Provided by publisher.

Also available in print edition.

Mode of access: World Wide Web.

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