Software for Data Analysis

Programming with R

  • John Chambers

Part of the Statistics and Computing book series (SCO)

Table of contents

  1. Front Matter
    Pages 1-14
  2. Pages 11-36
  3. Pages 79-110
  4. Pages 111-138
  5. Pages 289-330
  6. Pages 331-380
  7. Pages 453-474
  8. Back Matter
    Pages 1-26

About this book

Introduction

John Chambers has been the principal designer of the S language since its beginning, and in 1999 received the ACM System Software award for S, the only statistical software to receive this award. He is author or coauthor of the landmark books on S.

Now he turns to R, the enormously successful open-source system based on the S language. R's international support and the thousands of packages and other contributions have made it the standard for statistical computing in research and teaching.

This book guides the reader through programming with R, beginning with simple interactive use and progressing by gradual stages, starting with simple functions. More advanced programming techniques can be added as needed, allowing users to grow into software contributors, benefiting their careers and the community. R packages provide a powerful mechanism for contributions to be organized and communicated.

The techniques covered include such modern programming enhancements as classes and methods, namespaces, and interfaces to spreadsheets or data bases, as well as computations for data visualization, numerical methods, and the use of text data.

Keywords

Computer DATA ANALYSIS DATA VISUALIZATION STATISTICA STATISTICAL COMPUTING calculus numerical methods programming statistical software statistics visualization

Authors and affiliations

  • John Chambers
    • 1
  1. 1.Dept. StatisticsStanford UniversityStanfordU.S.A.

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-75936-4
  • Copyright Information Springer Science+Business Media, LLC 2008
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-75935-7
  • Online ISBN 978-0-387-75936-4
  • Series Print ISSN 1431-8784
  • About this book