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Last edited by frstndlstlns
March 3, 2024 | History
A guide to software development using the R programming language covers such topics as closures, recursion, anonymous functions, and debugging techniques.
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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
Contents In Detail
Acknowledgments
Introduction
1. Getting Started
2. Vectors
3. Matrices and Arrays
4. Lists
5. Data Frames
6. Factors and Tables
7. R Programming Structures
8. Doing Math and Simulations in R
9. Object-Oriented Programming
10. Input/Output
11. String Manipulation
12. Graphics
13. Debugging
14. Performance Enhancement: Speed and Memory
15. Interfacing R to Other Languages
16. Parallel R
A. Installing R
B. Installing and Using Packages
Index
Edition Notes
Classifications
Contributors
The Physical Object
Edition Identifiers
Work Identifiers
Source records
Library of Congress MARC recordLibrary of Congress MARC record
Library of Congress MARC record
Library of Congress MARC record
Library of Congress MARC record
Internet Archive item record
Better World Books record
Library of Congress MARC record
marc_columbia MARC record
Promise Item
ISBNdb
Harvard University record
Harvard University record
Work Description
An introduction to the R language for statistical and data-science programming.
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Community Reviews (0)
March 3, 2024 | Edited by frstndlstlns | added description |
December 20, 2023 | Edited by ImportBot | import existing book |
December 19, 2022 | Edited by MARC Bot | import existing book |
January 31, 2021 | Edited by bitnapper | Edited without comment. |
October 20, 2011 | Created by LC Bot | import new book |