The art of R programming - Info and Reading Options
tour of statistical software design
By Norman S. Matloff

"The art of R programming" was published by No Starch Press in 2011 - San Francisco, USA, it has 373 pages and the language of the book is English.
“The art of R programming” Metadata:
- Title: The art of R programming
- Author: Norman S. Matloff
- Language: English
- Number of Pages: 373
- Publisher: No Starch Press
- Publish Date: 2011
- Publish Location: San Francisco, USA
“The art of R programming” Subjects and Themes:
- Subjects: ➤ Statistics - Data processing - R (Computer program language) - Statistics, data processing - Programming languages (electronic computers) - R - Statistics--data processing - Qa276.4 .m2925 2011 - Qa 276.45 .r3 m2925a 2011 - 519.50285/5133
Edition Specifications:
- Format: eBook
- Pagination: XXIII, 373p.
Edition Identifiers:
- The Open Library ID: OL25004649M - OL16116942W
- Online Computer Library Center (OCLC) ID: 711045702
- Library of Congress Control Number (LCCN): 2011025598
- ISBN-13: 9781593273842
- ISBN-10: 1593273843
- All ISBNs: 1593273843 - 9781593273842
AI-generated Review of “The art of R programming”:
"The art of R programming" Table Of Contents:
- 1- Brief contents
- 2- Contents In Detail
- 3- Acknowledgments
- 4- Introduction
- 5- Getting Started
- 6- Vectors
- 7- Matrices and Arrays
- 8- Lists
- 9- Data Frames
- 10- Factors and Tables
- 11- R Programming Structures
- 12- Doing Math and Simulations in R
- 13- Object-Oriented Programming
- 14- Input/Output
- 15- String Manipulation
- 16- Graphics
- 17- Debugging
- 18- Performance Enhancement: Speed and Memory
- 19- Interfacing R to Other Languages
- 20- Parallel R
- 21- Installing R
- 22- Installing and Using Packages
- 23- Index
Snippets and Summary:
As detailed in the Introduction, R is an extremely versatile open source programming language for statistics and data science.
"The art of R programming" Description:
The Open Library:
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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