Exploratory multivariate analysis by example using R / François Husson, Sébastien Lê, Jérôme Pagès.
Material type:
TextLanguage: English Series: Chapman & Hall/CRC computer science and data analysisPublication details: Boca Raton : CRC Press, c2011. Description: xii, 228 p. : ill. ; 25 cmISBN: 9781439835807 (hardback); 1439835802Subject(s): Multivariate analysis | R (Computer program language)DDC classification: 519.538 LOC classification: QA278 | .H87 2011Online resources: WorldCat details | Ebook Fulltext | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
E-Book
|
EWU Library E-book | Non-fiction | 519.538 FRE 2011 (Browse shelf(Opens below)) | Not for loan | ||||
Text
|
EWU Library Reserve Section | Non-fiction | 519.538 FRE 2011 (Browse shelf(Opens below)) | C-1 | Not For Loan | 27413 | ||
|
Text
|
EWU Library Circulation Section | Non-fiction | 519.538 FRE 2011 (Browse shelf(Opens below)) | C-2 | Available | 28175 |
"A Chapman & Hall book".
Includes bibliographical references and index.
TOC Principal component analysis (PCA) --
Correspondence analysis (CA) --
Multiple correspondence analysis (MCA) --
Clustering
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 Read more...
AS
Saifun Momota
There are no comments on this title.