The Art of R Programming: A Tour of Statistical Software Design
No Starch Press, 11 de out. de 2011 - 400 páginas
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 R 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.
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LibraryThing ReviewComentário do usuário - nmarun - LibraryThing
This book IMHO is an excellent starting point for learning R. I'm finding it really useful for beginners like me to learn this new programming language. The book is comprehensive and well-illustrated ... Ler resenha completa
LibraryThing ReviewComentário do usuário - nvenkataraman1 - LibraryThing
Outstanding introductory programming book for R programming. Covers a vast range of topics in sufficient depth for a beginner to get off the ground. Ler resenha completa
Matrices and Arrays
Factors and Tables
R Programming Structures
Doing Math and Simulations in R
Performance Enhancement Speed and Memory
Interfacing R to Other Languages
Installing and Using Packages