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25 Remote Warehouse Mathematics- General

An R and S-Plus. Companion to Multivariate Analysis (Springer Texts in Statistics)

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An R and S-Plus. Companion to Multivariate Analysis (Springer Texts in Statistics) Cover

 

Synopses & Reviews

Publisher Comments:

Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such as S-PLUS or R. 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. A website with all the datasets and code used in the book can be found at http://biostatistics.iop.kcl.ac.uk/publications/everitt/. 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. Brian Everitt is Emeritus Professor of Statistics, King's College, London.

Synopsis:

Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he's got it right.

About the Author

Brian Everitt is Emeritus Professor of Statistics, Kings College, London

Table of Contents

Multivariate Data and Multivariate Analysis.- Looking at Multivariate Data.- Principal Components Analysis.- Exploratory Factor Analysis.- Multidimensional Scaling and Correspondence Analysis.- Cluster Analysis.- Grouped Multivariate Data: Multivariate Analysis of Variance and Discriminant Function Analysis.- Multiple Regression and Canonical Correlation.- The Analysis of Repeated Measures Data.- Appendix.

Product Details

ISBN:
9781852338824
Author:
Everitt, Brian
Publisher:
Springer
Author:
Everitt, Brian S.
Author:
Cram101 Textbook Reviews
Location:
London
Subject:
Statistics
Subject:
Multivariate analysis
Subject:
Probability & Statistics - Multivariate Analysis
Subject:
R (Computer program language)
Subject:
Mathematical & Statistical Software
Subject:
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
Subject:
Statistical Theory and Methods
Subject:
Statistics and Computing/Statistics Programs
Subject:
Education-General
Subject:
Mathematics - General
Subject:
B
Subject:
mathematics and statistics
Subject:
Mathematical statistics
Copyright:
Edition Number:
1
Edition Description:
2005. Corr. 2nd
Series:
Springer Texts in Statistics
Publication Date:
February 2005
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
234
Dimensions:
235 x 155 mm 1120 gr

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» History and Social Science » Sociology » General
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» Science and Mathematics » Mathematics » Software

An R and S-Plus. Companion to Multivariate Analysis (Springer Texts in Statistics) New Hardcover
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$108.50 In Stock
Product details 234 pages Springer - English 9781852338824 Reviews:
"Synopsis" by , Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he's got it right.
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