From the reviews:
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
"True to its title, this is an introductory book on S-PLUS that even first-time users will find accessible, informative, and easy to follow. The book originates from lectures, and it retains the clarity of exposition of a well-organized course…an excellent introductory reference for first-year graduate students in statistics, because it provides not only the necessary information to get them started using the point-and-click GUI, but also an introduction to the use of the command line and to more advanced concepts, such as programming, object-oriented programming, and the use of Trellis graphics. All the while, the book avoids the overwhelming complexities typical of a software manual, and the few, well-thought-out exercises (with careful solutions) at the end of each chapter supply the motivation to explore more advanced topics."
SOCIOLOGICAL METHODS & RESEARCH
From the second edition: "Krause and Olson rely very heavily on the idea that it is best to show how something is done before explaining its more abstract aspects. With their clear, step-by-step instructions, this should be quite effective. There are many useful tips throughout the book and a collection of hints and practical topics in one chapter…For those new to S-PLUS, Krause and Olson have provided an invaluable starting point. For the instructor seeking a single volume that introduces the basics of the powerful data analysis abilities in S-PLUS that lie beneath the GUI and that provides a good grasp of its unified approach to statistics and integrated graphics, the only choice is Krause and Olson. Moreover, by making S-PLUS so accessible, Krause and Olson expand the audience for whom S-PLUS is an appropriate environment for their introduction to data analysis."
"Its inclusion of GUI coverage makes it a good choice for any statistician who wants to get started with S-PLUS."
From the Back Cover
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 text refers to an alternate