The Art of R Programming

The Art of R Programming

A guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required.

Tag(s): R Statistics

Publication date: 01 Sep 2009

ISBN-10: 1593273843

ISBN-13: 8582592222227

Paperback: 193 pages

Views: 3,069

Type: Book

Publisher: No Starch Press

License: n/a

Post time: 29 Jul 2016 03:01:02

The Art of R Programming

The Art of R Programming A guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required.
Tag(s): R Statistics
Publication date: 01 Sep 2009
ISBN-10: 1593273843
ISBN-13: 8582592222227
Paperback: 193 pages
Views: 3,069
Document Type: Book
Publisher: No Starch Press
License: n/a
Post time: 29 Jul 2016 03:01:02
From the Preface:
Norman Matloff wrote:This book is for those who wish to write code in R, as opposed to those who use R mainly for a sequence of separate, discrete statistical operations, plotting a histogram here, performing a regression analysis there. The reader's level of programming background may range from professional to novice to "took a programming course in college," but the key is that the reader wishes to write R code. Typical examples of our intended audience might be: 

• Analysts employed by, say, a hospital or government agency, who produce statistical reports on a regular basis, and need to develop production programs for this purpose. 
• Academic researchers developing statistical methodology that is either new or combines existing methods into an integrated procedure that needs to be codified for usage by the general research community. 
• Specialists in marketing, litigation support, journalism, publishing and so on who need to develop sophisticated graphical presentations of data. 
• Professional programmers who have been working in other languages, but whose employers have now assigned them to projects involving statistical analysis. 
• Students in statistical computing courses. 




About The Author(s)


Dr. Norm Matloff is a professor of computer science at the University of California at Davis, and was formerly a professor of statistics at that university. He is a former database software developer in Silicon Valley, and has been a statistical consultant for firms such as the Kaiser Permanente Health Plan. He was born and raised in the Los Angeles area, and has a PhD in pure mathematics from UCLA, specializing in probability/functional analysis and statistics.

Norman  Matloff

Dr. Norm Matloff is a professor of computer science at the University of California at Davis, and was formerly a professor of statistics at that university. He is a former database software developer in Silicon Valley, and has been a statistical consultant for firms such as the Kaiser Permanente Health Plan. He was born and raised in the Los Angeles area, and has a PhD in pure mathematics from UCLA, specializing in probability/functional analysis and statistics.


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