東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Exploratory multivariate analysis by...

Husson, François.

Linked to FindBook

Google Book

Amazon

博客來

Exploratory multivariate analysis by example using R

Record Type:	Electronic resources : Monograph/item
Title/Author:	Exploratory multivariate analysis by example using R/ François Husson, Sébastien Lê, Jérôme Pagès.
Author:	Husson, François.
other author:	Lê, Sébastien.
Published:	Boca Raton :CRC Press, : c2011.,
Description:	1 online resource (xii, 228 p.) :ill.
Notes:	"A Chapman & Hall book".
[NT 15003449]:	1. Principal component analysis (PCA) -- 2. Correspondence analysis (CA) -- 3. Multiple correspondence analysis (MCA) -- 4. Clustering.
Subject:	Multivariate analysis. -
Online resource:	http://www.crcnetbase.com/isbn/9781439835807
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:

517467
Multivariate analysis.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QA278 / .H87 2011

Dewey Class. No.: 519.53502855133

Exploratory multivariate analysis by example using R
LDR:01898cmm a2200313Ia 4500 001 1902153
003 OCoLC
005 20140108090646.0
006 m o d
007 cr |||||||||||
008 240124s2011 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
035 $a 1902153
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 2018278
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 517467
650 0 $a R (Computer program language) $3 784593
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Lê, Sébastien. $3 2018279
700 1 $a Pagès, Jérôme. $3 2018280
830 0 $a Series in computer science and data analysis. $3 939289
856 4 0 $u http://www.crcnetbase.com/isbn/9781439835807