A guide to using S-Plus to perform statistical analyses, serving as both an introduction to the use of S-Plus and as a course in modern statistical methods. The experienced authors show how to use S-Plus as a powerful and graphical system, with the emphasis on presenting practical problems and full analyses of real data sets throughout. A basic grounding in statistics is assumed, making this book suitable for would-be users of S-Plus, as well as students and researchers using statistics.

1 Introduction.- 2 The S Language.- 3 Graphical Output.- 4 Programming in S.- 5 Distributions and Data Summaries.- 6 Linear Statistical Models.- 7 Generalized Linear Models.- 8 Robust Statistics.- 9 Non-linear Regression Models.- 10 Modern Regression.- 11 Survival Analysis.- 12 Multivariate Analysis.- 13 Tree-based Methods.- 14 Time Series.- 15 Spatial Statistics.- References.- Appendices.- A Datasets and Software.- A.1 Directories.- A.2 Sources of machine-readable versions.- A.3 Caveat.- B Common S-PLUS Functions.- C S versus S-PLUS.- D Using S Libraries.- D.1 Creating a library.- D.2 Sources of libraries.- E Command Line Editing.- F Answers to Selected Exercises.