An R and S-Plus® Companion to Multivariate Analysis - Brian S. Everitt

An R and S-Plus® Companion to Multivariate Analysis

Buch | Softcover
221 Seiten
2010 | Softcover reprint of hardcover 1st ed. 2005
Springer London Ltd (Verlag)
978-1-84996-944-4 (ISBN)
64,19 inkl. MwSt
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.
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.





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.


From the reviews:


"This text is much more than just an R/S programming guide. Brian Everitt's expertise in multivariate data analysis shines through brilliantly." Journal of the American Statistical Association, June 2006

Brian Everitt is Emeritus Professor of Statistics, King’s College, London

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.- Analysis of Repeated Measures Data.

Reihe/Serie Springer Texts in Statistics
Zusatzinfo XIII, 221 p.
Verlagsort England
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 1-84996-944-2 / 1849969442
ISBN-13 978-1-84996-944-4 / 9781849969444
Zustand Neuware
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