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Software for Data Analysis: Programming with R
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Catalogue Information
Field name
Details
Dewey Class
519.9 (DDC 23)
Title
Software for Data Analysis ([Ebook]) : Programming with R / by John Chambers.
Author
Chambers, John
Other name(s)
SpringerLink (Online service)
Publication
New York, NY : Springer
, 2008.
Physical Details
XIV, 498 pages : online resource.
Series
Statistics and computing
1431-8784
ISBN
9780387759364
Summary Note
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.:
Contents note
Computing with data -- Using R -- Programming: The basics -- Objects -- Data -- Data visualiation and graphics -- Computations: The basics -- Computing with text -- How R works -- R packages -- New classes -- Methods and generic functions -- Programming for users -- Designing and training software -- C and Fortran -- Interfaces with other systems -- Programming models.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA users)
Internet Site
http://dx.doi.org/10.1007/978-0-387-75936-4
Links to Related Works
Subject References:
Mathematical Statistics
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Statistics
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Statistics and Computing/Statistics Programs
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Authors:
Chambers, John
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Corporate Authors:
SpringerLink (Online service)
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Series:
Statistics and computing
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Classification:
519.9 (DDC 23)
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