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

The Art of R Programming: A Tour of Statistical Software Design - Free Ebook Download

Book Detail

Author/Editor(s): Norman Matloff
Publication Date: October 15, 2011
ISBN-10: 1593273843
ISBN-13: 978-1593273842
Language: English
Edition: 1
Publisher: No Starch Press
Size: 5.97 MB
Format: pdf, epub, mobi

Book Description

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.

The Art of R Programming takes you on 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, and your programming skills can range from hobbyist to pro.

Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to:
  • Create artful graphs to visualize complex data sets and functions
  • Write more efficient code using parallel R and vectorization
  • Interface R with C/C++ and Python for increased speed or functionality
  • Find new packages for text analysis, image manipulation, and thousands more
  • Squash annoying bugs with advanced debugging techniques

Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

About the Author

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).

Reviews

Many R books written in perspective of developing quick visualizations or conducting statistical analysis. This book is mostly written for serious programmers. Author spent lot of time in explaining how R data structures are constructed. You would not find this information in any other R books. If you are looking for serious programming in R, this book is for you. If you are looking for statistical analysis you may consider other books. However this book also offers basic statistical analysis.

--Srihari Dammalapati, Amazon Customer Reviews

Excellent book to learn R.

--GirS, Amazon Customer Reviews
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