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.rnrnThe 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.rnrnAlong 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:rnrn- Create artful graphs to visualize data sets and functionsrnrn- Write more efficient code using parallel R and vectorizationrnrn- Interface R with C/C++ and Phython for increased speed or functionalityrnrn- Find new packages for text analysis, image manipulation, and morernrn- Squash annoying bugs with advanced debugging techniquesrnrnWhether 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