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Exploratory multivariate analysis by example using R / François Husson, Sébastien Lê, Jérôme Pagès.

By: Contributor(s): Material type: TextTextSeries: Chapman & Hall/CRC computer science and data analysisPublication details: Boca Raton : CRC Press, c2011.Description: xii, 228 p. : ill. ; 25 cmISBN:
  • 9781439835807 (hardback)
Subject(s): DDC classification:
  • 519.5/3502855133 22
LOC classification:
  • QA278 .H87 2011
Other classification:
  • MAT029000
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"--
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Item type Current library Call number Status Date due Barcode
General Books General Books CUTN Central Library Generalia 519.5/3502855133 (Browse shelf(Opens below)) Available 22196

"A Chapman & Hall book".

Includes bibliographical references and index.

"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"--

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