Modern Applied Statistics with S-PLUS

  • W. N. Venables
  • B. D. Ripley

Part of the Statistics and Computing book series (SCO)

Table of contents

  1. Front Matter
    Pages i-xi
  2. W. N. Venables, B. D. Ripley
    Pages 1-12
  3. W. N. Venables, B. D. Ripley
    Pages 13-52
  4. W. N. Venables, B. D. Ripley
    Pages 53-92
  5. W. N. Venables, B. D. Ripley
    Pages 93-112
  6. W. N. Venables, B. D. Ripley
    Pages 113-148
  7. W. N. Venables, B. D. Ripley
    Pages 149-209
  8. W. N. Venables, B. D. Ripley
    Pages 211-240
  9. W. N. Venables, B. D. Ripley
    Pages 241-280
  10. W. N. Venables, B. D. Ripley
    Pages 281-302
  11. W. N. Venables, B. D. Ripley
    Pages 303-327
  12. W. N. Venables, B. D. Ripley
    Pages 329-366
  13. W. N. Venables, B. D. Ripley
    Pages 367-400
  14. W. N. Venables, B. D. Ripley
    Pages 401-431
  15. W. N. Venables, B. D. Ripley
    Pages 433-447
  16. Back Matter
    Pages 449-501

About this book

Introduction

S-PLUS is a powerful environment for the statistical and graphical analysis of data. It provides the tools to implement many statistical ideas that 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 commercially 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 data analysis 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, non-linear, and smooth regression models, tree-based methods, multivariate analysis and pattern recognition, survival analysis, time series and spatial statistics. Throughout modern techniques such as robust methods, non-parametric smoothing and bootstrapping are used where appropriate. This third edition is intended for users of S-PLUS 4.5, 5.0 or later, although S-PLUS 3.3/4 are also considered. The major change from the second edition is coverage of the current versions of S-PLUS. The material has been extensively rewritten using new examples and the latest computationally-intensive methods. Volume 2: S programming, which is in preparation, will provide an in-depth guide for those writing software in the S language.

Keywords

Bootstrapping Generalized linear model Graphical Data Analysis System S-PLUS STATISTICA Survival analysis data analysis statistics time series analysis

Authors and affiliations

  • W. N. Venables
    • 1
  • B. D. Ripley
    • 2
  1. 1.CSIRO Marine LaboratoriesClevelandAustralia
  2. 2.University of OxfordOxfordUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-3121-7
  • Copyright Information Springer-Verlag New York 1999
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4757-3123-1
  • Online ISBN 978-1-4757-3121-7
  • Series Print ISSN 1431-8784
  • About this book