Description |
xiii, 221 pages : illustrations ; 25 cm |
Series |
Springer texts in statistics |
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Springer texts in statistics.
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Contents |
1. Multivariate data and multivariate analysis -- 2. Looking at multivariate data -- 3. Principal components analysis -- 4. Exploratory factor analysis -- 5. Multidimensional scaling and correspondence analysis -- 6. Cluster analysis -- 7. Grouped multivariate data : multivariate analysis of variance and discriminant function analysis -- 8. Multiple regression and canonical correlation -- 9. Analysis of repeated measures data -- App. An aide memoir for R and S-PLUS |
Summary |
"In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted."--BOOK JACKET |
Bibliography |
Includes bibliographical references (pages 211-215) and index |
Notes |
"Graduate students and advanced undergraduates on applied statistics courses, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics who need to deal with the complexities of multivariate data in their work."--BOOK JACKET |
SUBJECT |
S-Plus. http://id.loc.gov/authorities/names/n94051800
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S-PLUS (Computer file)
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Subject |
Multivariate analysis.
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R (Computer program language)
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LC no. |
2004054963 |
ISBN |
1852338822 alkaline paper |
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