Modern Applied Statistics with S-Plus (Statistics and Computing)

By W.N. Venables

Book Overview

S-Plus is a powerful environment for statistical and graphical analysis of data. It provides the tools to implement many statistical ideas which have been made possible by the widespread availability of workstations having good graphics and computational capabilities. This book is a guide to using S-Plus to perform statistical analyses and provides both an introduction to the use of S-Plus and a course in modern statistical methods. The aim of the book is to show how to use S-Plus as a powerful and graphical system. Readers are assumed to have a basic grounding in statistics, and so the book is intended for would-be users of S-Plus, and both students and researchers using statistics. Throughout, the emphasis is on presenting practical problems and full analyses of real data sets.

• Format: Hardcover
• Language: English
• ISBN: 0387943501
• ISBN13: 9780387943503
• Release Date: November 1996
• Publisher: Springer
• Length: 462 Pages
• Weight: 1.95 lbs.
• Dimensions: 9.5" x 1.3" x 6.3"

Customer Reviews

The S-Plus "Mustard" book

This is an *essential* tool for anyone using S-Plus. The book is well laid out, supplementing and complementing the manuals. In addition, the authors provide libraries that expand many of the routines in S-Plus. If you use S-Plus and do not program directly in S yourself, this book should be on your shelf.

good introduction to using S-Plus

This is a fantastic book on using S-Plus. I would have given it 5 stars had its treatment been given in a more clear way. Nonetheless the S language is well presented and many statistical analyses are sampled using S-Plus. In fact, this is also a strong applied stats book, with S code given for each topic.

the 'bible' for Splus users/lovers

this is the 'bible' of numerous statistician using Splus or R. Ripley and Venables are two of the builders of S/Splus and they're still involved in many projects regarding this topic. The second edition is very complete and make Splus computing easier.