Software for data analysis

programming with R

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December 19, 2023 | History

Software for data analysis

programming with R

  • 3.50 ·
  • 2 Ratings
  • 2 Want to read
  • 0 Currently reading
  • 2 Have read

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.

Publish Date
Publisher
Springer
Language
English
Pages
498

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Previews available in: English

Edition Availability
Cover of: Software for data analysis
Software for data analysis: programming with R
2008, Springer
in English

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Book Details


Edition Notes

Includes bibliographical references (p. 479-480) and indexes.

Published in
New York
Series
Statistics and computing, Statistics and computing
Other Titles
Programming with R

Classifications

Library of Congress
QA276.45.R3 C43 2008, QA76.75-76.765QA276-, QA76.75-76.765

The Physical Object

Pagination
xiv, 498 p. :
Number of pages
498

ID Numbers

Open Library
OL23202233M
Internet Archive
softwarefordataa00cham_616
ISBN 10
0387759352, 0387759360
ISBN 13
9780387759357, 9780387759364
LCCN
2008922937
OCLC/WorldCat
191243189
Library Thing
4980262
Goodreads
2787438

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Download catalog record: RDF / JSON
December 19, 2023 Edited by ImportBot import existing book
November 28, 2023 Edited by MARC Bot import existing book
December 23, 2022 Edited by MARC Bot import existing book
August 2, 2020 Edited by ImportBot import existing book
July 14, 2010 Created by WorkBot work found