Writing Efficient R Code

The Art of Benchmarking
-In order to make your code go faster, you need to know how long it takes to run. This chapter introduces the idea of benchmarking your code.

Fine Tuning: Efficient Base R
-R is flexible because you can often solve a single problem in many different ways. Some ways can be several orders of magnitude faster than the others. This chapter teaches you how to write fast base R code.

Diagnosing Problems: Code Profiling
-Profiling helps you locate the bottlenecks in your code. This chapter teaches you how to visualize the bottlenecks using the `profvis` package.

Turbo Charged Code: Parallel Programming
-Some problems can be solved faster using multiple cores on your machine. This chapter shows you how to write R code that runs in parallel.