An R and S-Plus® Companion to Multivariate Analysis

Brian S. Everitt

ISBN 10: 1849969442 / ISBN 13: 9781849969444

Editore: Springer London, 2010

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9781849969444

Dati bibliografici

• Titolo: An R and S-Plus® Companion to Multivariate Analysis
• Editore: Springer London
• Data di pubblicazione: 2010
• Lingua: Inglese
• ISBN 10: 1849969442
• ISBN 13: 9781849969444
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

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. This book, written by a successful author in the field, covers the core multivariate methodology along with some basic theory for each method described. It provides the necessary R and S-PLUS code for each analysis, with any differences between the two highlighted.

Informazioni sull?autore

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