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Modern Applied Statistics with S-PLUS

  • Book
  • © 1997

Overview

Authors:
  1. W. N. Venables

    1. Department of Statistics, University of Adelaide, Adelaide, Australia

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    You can also search for this author in PubMed   Google Scholar

  2. B. D. Ripley

    1. University of Oxford, Oxford, England

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    You can also search for this author in PubMed   Google Scholar

Part of the book series: Statistics and Computing (SCO)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Introduction

    • W. N. Venables, B. D. Ripley
    Pages 1-18

  3. The S Language

    • W. N. Venables, B. D. Ripley
    Pages 19-68

  4. Graphical Output

    • W. N. Venables, B. D. Ripley
    Pages 69-112

  5. Programming in S

    • W. N. Venables, B. D. Ripley
    Pages 113-162

  6. Distributions and Data Summaries

    • W. N. Venables, B. D. Ripley
    Pages 163-190

  7. Linear Statistical Models

    • W. N. Venables, B. D. Ripley
    Pages 191-222

  8. Generalized Linear Models

    • W. N. Venables, B. D. Ripley
    Pages 223-245

  9. Robust Statistics

    • W. N. Venables, B. D. Ripley
    Pages 247-266

  10. Non-linear Models

    • W. N. Venables, B. D. Ripley
    Pages 267-296

  11. Random and Mixed Effects

    • W. N. Venables, B. D. Ripley
    Pages 297-322

  12. Modern Regression

    • W. N. Venables, B. D. Ripley
    Pages 323-341

  13. Survival Analysis

    • W. N. Venables, B. D. Ripley
    Pages 343-380

  14. Multivariate Analysis

    • W. N. Venables, B. D. Ripley
    Pages 381-412

  15. Tree-based Methods

    • W. N. Venables, B. D. Ripley
    Pages 413-430

  16. Time Series

    • W. N. Venables, B. D. Ripley
    Pages 431-468

  17. Spatial Statistics

    • W. N. Venables, B. D. Ripley
    Pages 469-484

  18. Classification

    • W. N. Venables, B. D. Ripley
    Pages 485-496

  19. Back Matter

    Pages 497-549
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Keywords

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

Reviews

From the reviews:

SOCIOLOGICAL METHODS & RESEARCH

"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."

CHANCE

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

Authors and Affiliations

  • Department of Statistics, University of Adelaide, Adelaide, Australia

    W. N. Venables

  • University of Oxford, Oxford, England

    B. D. Ripley

Bibliographic Information

  • Book Title: Modern Applied Statistics with S-PLUS

  • Authors: W. N. Venables, B. D. Ripley

  • Series Title: Statistics and Computing

  • DOI: https://doi.org/10.1007/978-1-4757-2719-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 1997

  • eBook ISBN: 978-1-4757-2719-7Published: 11 November 2013

  • Series ISSN: 1431-8784

  • Series E-ISSN: 2197-1706

  • Edition Number: 2

  • Number of Pages: XVII, 549

  • Topics: Probability Theory and Stochastic Processes, IT in Business

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