Make your R code run faster

January 3, 2018

(This article was first published on Revolutions, and kindly contributed to R-bloggers)

There are lots of tricks you can use to make R code run faster: use more efficient data structures; vectorize your R code; offload complex data management tasks to databases. Emily Robinson shares many of these R performance tips in a case study on A/B testing for Etsy. The tips are just as valuable as the process Emily shares for evaluating them — and also the process of asking the R community for help. Check out her post, linked below.

Hooked on Data: Making R Code Faster : A Case Study

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