The Art of R Programming: A Tour of Statistical Software Design

Front Cover
No Starch Press, 2011 - MATHEMATICS - 403 pages
11 Reviews
R is the worldOCOs most popular programming language for statistical computing. Drug developers use it to evaluate clinical trials and determine which medications are safe and effective; archaeologists use it to sift through mounds of artifacts and track the spread of ancient civilizations; and actuaries use it to assess financial risks and keep economies running smoothly. In The Art of R Programming, veteran author Norman Matloff takes readers on a guided tour of this powerful language, from basic object types and data structures to graphing, parallel processing, and much more. Along the way, readers learn about topics including functional and object-oriented programming, low-level code optimization, and interfacing R with C++ and Python. Whether readers are doing academic research, designing aircraft, or forecasting the weather, R is the tool of choice for statistical application development, and The Art of R Programming is the definitive guide to learning R."

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Review: The Art of R Programming: A Tour of Statistical Software Design

User Review  - Xinyu - Goodreads

originally, I thought that I don't need to read any specific R books and can just search online for specific operations...however, the data structures in R are really confusing as well as the operations. so I decide to read a book in R... Read full review

Review: The Art of R Programming: A Tour of Statistical Software Design

User Review  - Zoomikag - Goodreads

This book introduces with the fundamental data structures like vectors,factors, matrices, dataframes, lists, etc. with a chapter dedicated to each. Book serves the purpose to introduce the programming ... Read full review

About the author (2011)

Norman Matloff, Ph.D., is a Professor of Computer Science at the University of California, Davis. He is the creator of several popular software packages, as well as a number of widely-used Web tutorials on computer topics. He has written articles for the "New York Times," the "Washington Post," "Forbes Magazine," the "San Francisco Chronicle," and the "Los Angeles Times," among others, and is also the author, with Peter Jay Salzman, of "The Art of Debugging" (No Starch Press).

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