Bookshelf: S and R

Introduction

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: A brief introduction to R Styles of data analysis Statistical models An introduction to formal inference Regression with a single predictor Multiple linear regression Exploiting the linear model framework Logistic regression and other generalized linear models Multi-level models, time series, and repeated measures Tree-based classification and regression Multivariate data exploration and discrimination The R system—additional topics
Introductory Statistics with R by Peter Dalgaard 2002 Springer ISBN 0-387-95475-9	This is an excellent introduction to using R for statistical analysis. The chapters are: Basics Probability and Distributions Descriptive statistics and graphics One- and two-sample tests Regression and correlation ANOVA and Kruskal-Wallis Tabular data Power and the computation of sample size Multiple regression Linear models Logistic regression 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 Springer 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 1998 Springer 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 2000 Springer 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.