R is the world s 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.
Über den Autor
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).
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 markets 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 objectoriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formates. You'll also learn to:
- Create artful graphs to visualize data sets and functions
- Write more efficient code using parallel R and vectorization
- Interface R with C/C++ and Phython for increased speed or functionality
- Find new packages for text analysis, image manipulation, and 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.
A comprehensive introduction to programming with R, an industry standard for statistical software development and data analysis.
- R is used by more than 2 million professionals worldwide
- Beginner-friendly; no special knowledge of statistics required
- Author is a highly respected professor at a major research university