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

📚📚 I. THÔNG TIN SẢN PHẨM
📒 Mã sản phẩm :  STT1013
📒 Nhà xuất bản : No Starch Press; 1st edition (October 15, 2011)
📒 Tác giả :  Norman Matloff 
📒 Ngôn ngữ :   Tiếng Anh
📒 ISBN      : 1593273843
📒 Số trang :  404  trang
📒 Hình thức : Bìa Mềm, in ĐEN TRẮNG
📒 Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
📒 Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
📒 Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

📚📚 II. MÔ TẢ SẢN PHẨM
📒 1.Mô tả sản phẩm

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.

📒 2. Tác giả

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).