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Urtzi Enriquez-Urzelai
  1. Programming/

R Programming

This will be a chaotic series of small posts on things I find interesting. I still have not a clear idea of what I will put here, but probably some thoughts on parallelizing analyses in R, some spatial analyses, creating reproducible programming environments, and using Rmarkdown for reproducible/open science. Hope you like it!

Benchmarking future.apply

·286 words·2 mins
Programming R Loops Parallelization
For loops are very commonly used for performing tasks in series. However, the apply family of functions and a new framework (future.apply) allow to perform this tasks in parallel, which might be more performant than the classical for-loop in R.