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The Art of R Programming
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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.
Accordingly, this book is not a compendium of the myriad types of statistical methodologies available in the
wonderful R package. It really is about programming. It covers programming-related topics missing from
most other books on R, and places a programming “spin” on even the basic subjects. Examples include:
Rather than limiting examples to two or three lines of code of an artificial nature, throughout the
book there are sections titled “Extended Example,” consisting of real applications. In this manner,
the reader not only learns how individual R constructs work, but also how to put them together into a
useful program. In many cases, there is discussion of design alternatives
Norman Matloff - Personal Name
1st Edition
NONE
The Art of R Programming
Information Technology
English
2009
1-195
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