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

By:

Husson, François

Contributor(s):

Material type: Text

TextSeries: 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	CUTN Central Library Generalia	519.5/3502855133 (Browse shelf(Opens below))	Available		22196

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Previous	519.5 Optimal mixture experiments.	519.5 Statistical inference :	519.5/35 Analysis of longitudinal data.	519.5/3502855133 Exploratory multivariate analysis by example using R /	519.502453044 Classical methods of statistics :	519.5028553 Basic of Matrix Algebra for Statistics with R	519.503 Outline of basic statistics :	Next

"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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