Description
About the Author
Norman Matloff is a professor of computer science (and was formerly a professor of statistics) at the University of California, Davis. His research interests include parallel processing and statistical regression, and he is the author of a number of widely-used Web tutorials on software development. He has written articles for the New York Times, the Washington Post, Forbes Magazine, and the Los Angeles Times, and is the co-author of The Art of Debugging (No Starch Press).
Reviews
"If a person really wants to be able to speak the R language and become a competent R programmer then . . . one can find no better guide than Norman Matloff's The Art of R Programming."
-Joe Rickert, Revolution Analytics
"The book I'd recommend for someone wanting to learn R, especially for someone with more experience in programming than statistics."
-John D. Cook, The Endeavor
"Good from cover to cover. Enough depth that the experienced R user will find useful things in the later chapters."
-John Graham-Cumming
"If you are serious about learning R . . . The Art of R Programming will be beneficial to you."
-Paolo Sonego, One R Tip a Day
"Makes it look easy for those scientists who need to make numerical models based on statistical analysis. Serious stuff for people who are already R programmers, but it has a lot of value for entry level folks too."
-Hank Campbell, Science 2.0
"If you need to do statistical work as a programmer I highly recommend buying it."
-Bryan Bell, Math and More
"An R programming book that starts from the beginning. If you have at least a vague idea of what programming is, you should find The Art of R Programming useful. I'm keeping this one."
-Nathan Yau, FlowingData
Book Information
ISBN 9781593273842
Author Norman Matloff
Format Paperback
Page Count 400
Imprint No Starch Press,US
Publisher No Starch Press,US