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

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.

• R Cookbook (O'Reilly Cookbooks)
• The Book of R: A First Course in Programming and Statistics
• R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
• R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
• Hands-On Programming with R: Write Your Own Functions And Simulations
• ggplot2: Elegant Graphics for Data Analysis (Use R!)
• An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
• Learning R
• R for Everyone: Advanced Analytics and Graphics (2nd Edition) (Addison-Wesley Data & Analytics Series)
• R in Action: Data Analysis and Graphics with R