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Exploratory multivariate analysis by...

Husson, François.

Exploratory multivariate analysis by example using R

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Exploratory multivariate analysis by example using RFrançois Husson, Sébastien Lê, Jérôme Pagès.
作者:	Husson, François.
其他作者:	Lê, Sébastien.
出版者:	Boca Raton :CRC Press,c2011.
面頁冊數:	1 online resource (xii, 228 p.) :ill.
附註:	"A Chapman & Hall book".
標題:	Multivariate analysis.
電子資源:	http://www.crcnetbase.com/isbn/978-1-4398-3580-7
ISBN:	9781439835814 (electronic bk.)

Exploratory multivariate analysis by example using R
Husson, François.

Exploratory multivariate analysis by example using R[electronic resource] /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. - Series in computer science and data analysis..

"A Chapman & Hall book".

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 author Provided by publisher.

ISBN: 9781439835814 (electronic bk.)Subjects--Topical Terms:

181905
Multivariate analysis.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: QA278 / .H87 2011

Dewey Class. No.: 519.53502855133

Exploratory multivariate analysis by example using R
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020 $a 9781439835814 (electronic bk.)
020 $a 1439835810 (electronic bk.)
020 $z 9781439835807 (hbk.)
020 $z 1439835802 (hbk.)
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050 4 $a QA278 $b .H87 2011
082 0 0 $a 519.53502855133 $2 22
100 1 $a Husson, François. $3 507089
245 1 0 $a Exploratory multivariate analysis by example using R $h [electronic resource] / $c François Husson, Sébastien Lê, Jérôme Pagès.
260 $a Boca Raton : $b CRC Press, $c c2011.
300 $a 1 online resource (xii, 228 p.) : $b ill.
490 1 $a Chapman & Hall/CRC computer science and data analysis series
500 $a "A Chapman & Hall book".
504 $a Includes bibliographical references and index.
505 0 $a 1. Principal component analysis (PCA) -- 2. Correspondence analysis (CA) -- 3. Multiple correspondence analysis (MCA) -- 4. Clustering.
520 $a "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.
588 $a Description based on print version record.
650 0 $a Multivariate analysis. $3 181905
650 0 $a R (Computer program language) $3 210846
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Lê, Sébastien. $3 507090
700 1 $a Pagès, Jérôme. $3 507091
830 0 $a Series in computer science and data analysis. $3 378361
856 4 0 $u http://www.crcnetbase.com/isbn/978-1-4398-3580-7