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Exploratory multivariate analysis by example using R

Record Type:	Electronic resources : monographic
Author:	HussonFrançois,
Secondary Intellectual Responsibility:	LêSébastien,
Secondary Intellectual Responsibility:	PagèsJérôme,
Place of Publication:	Boca Raton
Published:	CRC Press;
Year of Publication:	c2011
Description:	1 online resource (xii, 228 p.)ill :
Series:	Chapman & Hall/CRC computer science and data analysis series
Subject:	Multivariate analysis -
Subject:	R (Computer program language) -
Subject:	Electronic books -
Online resource:	http://www.crcnetbase.com/isbn/978-1-4398-3580-7
Notes:	"A Chapman & Hall book"
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 author Provided by publisher
ISBN:	9781439835814electronic bk.
ISBN:	1439835810electronic bk.
ISBN:	hbk.
ISBN:	hbk.
Content Note:	1. Principal component analysis (PCA) -- 2. Correspondence analysis (CA) -- 3. Multiple correspondence analysis (MCA) -- 4. Clustering

Exploratory multivariate analysis by example using R
Husson, François

Exploratory multivariate analysis by example using R / François Husson, Sébastien Lê, Jérôme Pagès - Boca Raton : CRC Press, c2011. - 1 online resource (xii, 228 p.) ; ill. - (Chapman & Hall/CRC computer science and data analysis series).
1. Principal component analysis (PCA) -- 2. Correspondence analysis (CA) -- 3. Multiple correspondence analysis (MCA) -- 4. Clustering.
"A Chapman & Hall book"Description based on print version record.
Includes bibliographical references and index.
ISBN 9781439835814ISBN 1439835810
Multivariate analysisR (Computer program language)Electronic books

Lê, Sébastien

Exploratory multivariate analysis by example using R
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