Software for data analysis
programming with R
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Word Count
124,500 words, Guess
Page Count
498 pages
Identifiers
- Internet Archivesoftwarefordataa00cham
- Internet Archivesoftwarefordataa00cham_123
- Internet Archivesoftwarefordataa00cham_430
- Internet Archivesoftwarefordataa00cham_817
- Internet Archivesoftwarefordataa00cham_616
and 11 more
- ISBN-139780387759357
- ISBN-100387759352
- ISBN-100387759360
- ISBN-139780387759364
- LibraryThing4980262
- Library of Congress Control Number2008922937
- OCLC Control Number191243189
- Better World Books9780387759357
- Better World Books9780387759364
- Better World BooksKS-008-069
- Open LibraryOL23202233M
Classifications
- LCCQA276.45.R3 C43 2008
- LCCQA76.75-76.765QA276-
- LCCQA76.75-76.765
Alternate Titles
- Programming with R
Description
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.
Subjects
Topics
Series Statement
- Statistics and computing
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