One of the best things about R is its ability to vectorize code. This allows you to run code much faster than you would if you were using a for or while loop. In this post, we’re going to show you how to use vectorization to speed up fuzzy ...

Background Running R code in parallel can be very useful in speeding up performance. Basically, parallelization allows you to run multiple processes in your code simultaneously, rather than than iterating over a list one element at a time, or running a single process at a time. Thankfully, running R code ...