國立虎尾科技大學 |

Exploratory multivariate analysis by example using R

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Exploratory multivariate analysis by example using R/ François Husson, Sébastien Lê, Jérôme Pagès.
作者:	Husson, François.
其他作者:	Pagès, Jérôme.
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:	R (Computer program language) -
電子資源:	https://www.taylorfrancis.com/books/9780429190032
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:

679069
R (Computer program language)
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: QA278 / .H87 2011

Dewey Class. No.: 519.53502855133

Exploratory multivariate analysis by example using R
LDR:01879cam a2200301Ia 4500 001 1156485
003 OCoLC
005 20140108090646.0
006 m o d
007 cr |||||||||||
008 250704s2011 flua ob 001 0 eng d
020 $a 9781439835814 (electronic bk.)
020 $a 1439835810 (electronic bk.)
020 $z 9781439835807 (hbk.)
020 $z 1439835802 (hbk.)
035 $a ocn726766217
040 $a CUS $c CUS $d CUS $d NJR $d OCLCQ $d NLE
050 4 $a QA278 $b .H87 2011
082 0 0 $a 519.53502855133 $2 22
100 1 $a Husson, François. $3 970665
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 R (Computer program language) $3 679069
650 0 $a Multivariate analysis. $3 577402
655 4 $a Electronic books. $2 local $3 554714
700 1 $a Pagès, Jérôme. $3 970667
700 1 $a Lê, Sébastien. $3 970666
830 0 $a Series in computer science and data analysis. $3 596977
856 4 0 $u https://www.taylorfrancis.com/books/9780429190032