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An introduction to the R language for statistical and data-science programming.
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Previews available in: English
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Edition | Availability |
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1
The art of R programming: tour of statistical software design
2011, No Starch Press
eBook
in English
1593273843 9781593273842
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Book Details
First Sentence
"As detailed in the Introduction, R is an extremely versatile open source programming language for statistics and data science."
Table of Contents
Brief contents
Page v
Contents In Detail
Page vii
Acknowledgments
Page xvii
Introduction
Page xix
1.
Getting Started
Page 1
2.
Vectors
Page 25
3.
Matrices and Arrays
Page 59
4.
Lists
Page 85
5.
Data Frames
Page 101
6.
Factors and Tables
Page 121
7.
R Programming Structures
Page 139
8.
Doing Math and Simulations in R
Page 189
9.
Object-Oriented Programming
Page 207
10.
Input/Output
Page 231
11.
String Manipulation
Page 251
12.
Graphics
Page 261
13.
Debugging
Page 285
14.
Performance Enhancement: Speed and Memory
Page 305
15.
Interfacing R to Other Languages
Page 323
16.
Parallel R
Page 333
A.
Installing R
Page 353
B.
Installing and Using Packages
Page 355
Index
Page 359
Edition Notes
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External Links
Contributors
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ID Numbers
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- Created October 20, 2011
- 19 revisions
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September 2, 2024 | Edited by MARC Bot | import existing book |
March 3, 2024 | Edited by frstndlstlns | fix toc |
March 3, 2024 | Edited by frstndlstlns | added toc |
December 20, 2023 | Edited by ImportBot | import existing book |
October 20, 2011 | Created by LC Bot | Imported from Library of Congress MARC record |