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This book explains the basics of S-PLUS in a clear style at a level suitable for people with little computing or statistical knowledge. Unlike the manuals, it is not comprehensive, but instead introduces the most important ideas of S-PLUS and R, its companion in implementing the S language.

The authors take the reader on a journey into the world of interactive computing, data exploration, and statistical analysis. They explain how to approach data sets and teach the corresponding S-PLUS commands.

A collection of exercises summarizes the main ideas of each chapter. The exercises are accompanied by solutions that are worked out in full detail, and the code is ready to use and to be modified.

The volume is rounded off with practical hints on how efficient work can be performed in S-PLUS, for example by pointing out how to set up a good working environment and how to integrate S-PLUS with office products.

The book is well suited for self-study and as a textbook. It serves as an introduction to S-PLUS as well as R. A separate chapter points out the major differences between R and S-PLUS.

Over the last editions, the book has been updated to cover important changes like the inclusion of S Language Version 4, Trellis graphics, a graphical user interface, and many useful tips and tricks. The fourth edition is based on S-PLUS Version 7.0 for Windows and UNIX and has been updated and revised accordingly.




This book explains the basics of S-PLUS in a clear style at a level suitable for people with little computing or statistical knowledge. Unlike the manuals, it is not comprehensive, but instead introduces the most important ideas of S-PLUS and R, its companion in implementing the S language.

The authors take the reader on a journey into the world of interactive computing, data exploration, and statistical analysis. They explain how to approach data sets and teach the corresponding S-PLUS commands.

A collection of exercises summarizes the main ideas of each chapter. The exercises are accompanied by solutions that are worked out in full detail, and the code is ready to use and to be modified.

The volume is rounded off with practical hints on how efficient work can be performed in S-PLUS, for example by pointing out how to set up a good working environment and how to integrate S-PLUS with office products.

The book is well suited for self-study and as a textbook. It serves as an introduction to S-PLUS as well as R. A separate chapter points out the major differences between R and S-PLUS.

Over the last editions, the book has been updated to cover important changes like the inclusion of S Language Version 4, Trellis graphics, a graphical user interface, and many useful tips and tricks. The fourth edition is based on S-PLUS Version 7.0 for Windows and UNIX and has been updated and revised accordingly.


Content:
Front Matter....Pages I-XX
Introduction....Pages 1-6
Graphical User Interface....Pages 7-69
A First Session....Pages 71-92
A Second Session....Pages 93-117
Graphics....Pages 119-144
Trellis Graphics....Pages 145-177
Exploring Data....Pages 179-236
Statistical Modeling....Pages 237-270
Programming....Pages 271-307
Object-Oriented Programming....Pages 309-333
Input and Output....Pages 335-348
S-(scPlus) Internals....Pages 349-360
Tips and Tricks....Pages 361-394
Information Sources on and Around S-(scPlus)....Pages 395-397
R....Pages 399-402
Bibliography....Pages 403-407
Back Matter....Pages 409-419
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