MTU Library Catalogue

Syndetics cover image
Image from Syndetics

An R and S-PLUS companion to multivariate analysis / Brian S. Everitt.

By: Everitt, Brian.
Material type: materialTypeLabelBookSeries: Springer texts in statistics.Publisher: London : Springer, 2005Description: xiii, 221 p. : ill. ; 25 cm. + hbk.ISBN: 1852338822 (hbk.).Subject(s): S-Plus | Multivariate analysis | R (Computer program language)DDC classification: 519.535
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 -- Analysis of repeated measures data.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 519.535 (Browse shelf(Opens below)) 1 Available 00099186
Total holds: 0

Enhanced descriptions from Syndetics:

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

Includes bibliographical references (pages 211-215) and index.

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.

Table of contents provided by Syndetics

  • 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

Author notes provided by Syndetics

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