© 1997

Modern Applied Statistics with S-PLUS


Part of the Statistics and Computing book series (SCO)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. W. N. Venables, B. D. Ripley
    Pages 1-18
  3. W. N. Venables, B. D. Ripley
    Pages 19-68
  4. W. N. Venables, B. D. Ripley
    Pages 69-112
  5. W. N. Venables, B. D. Ripley
    Pages 113-162
  6. W. N. Venables, B. D. Ripley
    Pages 163-190
  7. W. N. Venables, B. D. Ripley
    Pages 191-222
  8. W. N. Venables, B. D. Ripley
    Pages 223-245
  9. W. N. Venables, B. D. Ripley
    Pages 247-266
  10. W. N. Venables, B. D. Ripley
    Pages 267-296
  11. W. N. Venables, B. D. Ripley
    Pages 297-322
  12. W. N. Venables, B. D. Ripley
    Pages 323-341
  13. W. N. Venables, B. D. Ripley
    Pages 343-380
  14. W. N. Venables, B. D. Ripley
    Pages 381-412
  15. W. N. Venables, B. D. Ripley
    Pages 413-430
  16. W. N. Venables, B. D. Ripley
    Pages 431-468
  17. W. N. Venables, B. D. Ripley
    Pages 469-484
  18. W. N. Venables, B. D. Ripley
    Pages 485-496
  19. Back Matter
    Pages 497-549

About this book


S-PLUS is a powerful environment for the 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. S-PLUS is available for both Windows and UNIX workstations, and both versions are covered in depth. 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. Many of the methods discussed are state-of-the-art approaches to topics such as linear and non-linear regression models, robust and smooth regression methods, survival analysis, multivariate analysis, tree-based methods, time series, spatial statistics, and classification. This second edition is intended for users of S-PLUS 3.3, 4.0, or later. It covers the recent developments in graphics and new statistical functionality, including bootstraping, mixed effects, linear and non-linear models, factor analysis, and regression with autocorrelated errors. The material on S-PLUS programming has been re-written to explain the full story behind the object-oriented programming features. The authors have written several software libraries which enhance S-PLUS; these and all the datasets used are available on the Internet in versions for Windows and UNIX. There are also on-line complements covering advanced material, further exercises and new features of S-PLUS as they are introduced. Dr. Venables is Head of Department and Senior Lecturer at the Department of


Internet Power STATISTICA UNIX applied statistics classification data analysis generalized linear model linear regression programming robust statistics software statistics survival analysis time series

Authors and affiliations

  1. 1.Department of StatisticsUniversity of AdelaideAdelaideAustralia
  2. 2.University of OxfordOxfordEngland

Bibliographic information

  • Book Title Modern Applied Statistics with S-PLUS
  • Authors William N. Venables
    Brian D. Ripley
  • Series Title Statistics and Computing
  • DOI
  • Copyright Information Springer-Verlag New York 1997
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Hardcover ISBN 978-0-387-98214-4
  • Softcover ISBN 978-1-4757-2721-0
  • eBook ISBN 978-1-4757-2719-7
  • Series ISSN 1431-8784
  • Edition Number 2
  • Number of Pages XVII, 549
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Probability Theory and Stochastic Processes
    IT in Business
  • Buy this book on publisher's site


From the reviews:


"Like many languages, there are often several ways in S to perform a given computing task, and [this book] does a good job of presenting both conceptually simple methods as well as more efficient alternatives. This provides a new user a means of quickly getting started with S and the experienced user a guide for improving his or her programming…The breadth of this book is quite impressive, including chapters on generalized linear models, tree-based classification methods, survival analysis, and others…[It] is very much both a book on modern applied statistics and a book on data analysis using S-PLUS and thus has many conceivable uses: It could serves as an S-PLUS reference, a general reference on modern statistical methods, and a secondary text for any number of applied statistics courses."


"Anyone who seriously uses S-Plus and wishes a practical introduction to modern techniques should buy a copy."