Écrire du code R efficace

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.

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.

Profiling helps you locate the bottlenecks in your code. This chapter teaches you how to visualize the bottlenecks using the profvis package.

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.