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

Matloff, Norman

ISBN 10: 1593273843 / ISBN 13: 9781593273842

Published by No Starch Press, 2011

About this Item

Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Seller Inventory # S_448594926

Bibliographic Details

• Title: The Art of R Programming: A Tour of Statistical Software Design
• Publisher: No Starch Press
• Publication Date: 2011
• Language: English
• ISBN 10: 1593273843
• ISBN 13: 9781593273842
• Binding: Paperback
• Condition: Very Good

About this title

Synopsis

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 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).