S and R


S is the language used by S-PLUS and the R Project for Statistical Computing. S is a data-oriented language, and its strengths are in handling, analyzing, and presenting data.

Publisher’s information Comments
Data Analysis and Graphics Using R
by John Maindonald and John Braun
August 1, 2003
Cambridge University Press
ISBN 0521813360

The book’s chapters are:

  1. A brief introduction to R
  2. Styles of data analysis
  3. Statistical models
  4. An introduction to formal inference
  5. Regression with a single predictor
  6. Multiple linear regression
  7. Exploiting the linear model framework
  8. Logistic regression and other generalized linear models
  9. Multi-level models, time series, and repeated measures
  10. Tree-based classification and regression
  11. Multivariate data exploration and discrimination
  12. The R system—additional topics
Introductory Statistics with R
by Peter Dalgaard
ISBN 0-387-95475-9

This is an excellent introduction to using R for statistical analysis. The chapters are:

  1. Basics
  2. Probability and Distributions
  3. Descriptive statistics and graphics
  4. One- and two-sample tests
  5. Regression and correlation
  6. ANOVA and Kruskal-Wallis
  7. Tabular data
  8. Power and the computation of sample size
  9. Multiple regression
  10. Linear models
  11. Logistic regression
  12. Survival analysis

The ISwR package contains the data sets used in the book.

Modern Applied Statistics with S
4th edition
by W. N. Venables and B. D. Ripley
August 2002
ISBN 0-387-95457-0

This book will not teach you statistical methods, but it will show you how to use statistical methods in the S environment using the open source R or the commercial S-Plus software.

Programming with Data: A Guide to the S Language
by John M. Chambers
ISBN 0-387-98503-4

This is a guide to the S language used by S-Plus and R. Some of the data analyzed as examples in the book comes from the S-Wafers Project.

S Programming
by W. N. Venables and B. D. Ripley
ISBN 0-387-98966-8

This is the authoritative guide to programming using the S language with S-PLUS or R.

Statistical Models in S
Edited by John M. Chambers and Trevor J. Hastie
October 1, 1991
Chapman & Hall/CRC
ISBN 0-412-83040-X

This book provides coverage of how statistical models are specified and used with the S language.