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Exploratory multivariate analysis by example using R

紀錄類型:	書目-電子資源 : 單行本
作者:	HussonFrançois,
其他作者:	LêSébastien,
其他作者:	PagèsJérôme,
出版地:	Boca Raton
出版者:	CRC Press;
出版年:	c2011
面頁冊數:	1 online resource (xii, 228 p.)ill :
集叢名:	Chapman & Hall/CRC computer science and data analysis series
標題:	Multivariate analysis -
標題:	R (Computer program language) -
標題:	Electronic books -
電子資源:	http://www.crcnetbase.com/isbn/978-1-4398-3580-7
附註:	"A Chapman & Hall book"
摘要註:	"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.
內容註:	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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