An R and S-Plus Companion to Multivariate Analysis

Brian S. Everitt - Collection Springer texts in statistics

235 pages, parution le 15/02/2005

Ajouter à une liste

Indisponible

Résumé

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.

Written for: Graduate students on applied statistic courses (especially social sciences), researchers dealing with multivariate data

L'auteur - Brian S. Everitt

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

Sommaire

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

Voir tout

Replier

Caractéristiques techniques

	PAPIER
Éditeur(s)	Springer
Auteur(s)	Brian S. Everitt
Collection	Springer texts in statistics
Parution	15/02/2005
Nb. de pages	235
Format	16 x 24
Couverture	Relié
Poids	465g
Intérieur	Noir et Blanc
EAN13	9781852338824
ISBN13	978-1-85233-882-4