The Basics of S-PLUS

by Andreas Krause, Melvin Olson

Overview

Thisisnowthefourtheditionof“TheBasicsofS-Plus”since1997.S-Plus saw a steady growth in popularity, and it established itself in many edu- tional and business places as a major data analysis tool.S-Plus is valued for its modern, interactive data analysis environment, whether it is the p- mary system or a complement to other standards like SAS (the latter is in particular true for the industry we work in, pharmaceuticals). We have followed the various releases with new editions of our book, introducing over time major changes like the incorporation of S Version 4 (the underlying language), Trellis graphs, a graphical user interface, in particular for the Windows operating system, and a chapter on R and its differencestoS-Plus(thatareminorforthematerialcoveredinthisbook). Thiseditionisanupdatefromedition3overnewfunctionsandfeatures ofS-Plus Version 7.0 (working from the beta release for MS Windows and Linux), adding more practical tips and examples, and correcting a few mistakes. We are very grateful to all our readers, in particular those sending us suggestions, comments, and any other kind of feedback. You will see some of these reffected in the book.

Product Details

ISBN-13:	9780387261096
Publisher:	Springer New York
Publication date:	07/01/2005
Series:	Statistics and Computing
Edition description:	4th ed. 2005
Pages:	444
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

Graphical User Interface.- A First Session.- A Second Session.- Graphics.- Trellis Graphics.- Exploring Data.- Statistical Modeling.- Programming.- Object-Oriented Programming.- Input and Output.- Tips and Tricks.- S-Plus Internals.- Information Sources on and Around S-Plus.- R.

Editorial Reviews

From the reviews of the third edition:

"Written to coincide with Version 7.0 of S-PLUS, the fourth edition of The Basics of S-PLUS furnishes a gently paced, but detailed, introduction to the S-PLUS statistical computing environment." Journal of Statistical Software, Vol. 14, December 2005

"Now in its fourth edition, this paperback continues to evolve smoothly, keeping up with changes in S-PLUS and its underlying language, S...If you own a first or second edition of this book, I recommend updating to the fourth edition." Journal of the American Statistical Association, September 2006

"This is the third edition of the book within five years of publication. This gives an idea of the popularity of the book. The basic structure of the book remains the same. But the new edition covers the S-Plus version 6 for Unix and Windows. In particular the contents now reflect introduction of a graphical user interface (GUI), new formats of graphics and for export and import of data. The comparable public domain software R receives a separate coverage as an introduction to R.” (Arup Bose, Sankhya, Vol 64 (3), 2002)

"This is an introductory book on S-PLUS that even first-time users will find accessible, informative, and easy to follow. … One strength of the book is its coverage of several implementations of S-PLUS, in particular of its graphical user interfaces (GUIs) under both Windows and UNIX. … 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." (Mario Peruggia, Journal of the American Statistical Association, December, 2002)

"The second edition (2E) was 50% larger than the first edition. This update has considerably fewer changes. … Its inclusion of GUI coverage makes it a good choice for any statistician who wants toget started with S-PLUS." (Technometrics, Vol. 45 (2), May, 2003)

From the reviews of the fourth edition:

"A basic introduction to S-Plus statistical computing based on version 7.0 of S-Plus. It is suitable for people with little computing knowledge and basic understanding of statistical data analysis. … Overall presentation in this book is good and this book is ideal for a quick basic introduction to S-Plus. It is well suited for self-study and may be considered as a text book for S-Plus statistical computing. If the reader carefully goes through this book, he will acquire substantial knowledge in S-Plus data analysis." (Anil K. Ghosh, Sankhya: The Indian Journal of Statistics, Vol. 68 (1), 2006)

From the Publisher