We saw an overview of the most important and common techniques used to optimize R implementations. However, there is still a lot we have not covered. In the following sections, we will briefly mention some of them.
Other topics of interest to enhance performance
Preallocating memory to avoid duplication
Memory preallocation is an important technique we covered implicitly when we used the lapply() function, since it does preallocation for us. However, a more explicit explanation can be useful. As we have already seen, dynamically growing objects in R is not great for performance. Instead, you should define an object with the full size you will need and then perform updates on its elements instead of recreating them. To accomplish...
