This workshop serves as an introduction to writing faster R code. We will discuss important concepts such as vectorization and how to identify what parts of the code might be slowing you down. If time permits, we will go over a bit of parallel computing in R and how to use the Rcpp package (main topics from part 2 of the workshop, which will be offered at a later date).
Requirements:
- A computer with R and RStudio installed prior to attending
- Basic R programming experience
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Note: This workshop is organized and facilitated by SciProg. SciProg—short for Scientific Programming Study Group—is dedicated to building a community of SFU researchers who perform computational data analysis as part of their academic work. SciProg promotes skill sharing and collaboration by (1) organizing 60 to 90-minute interactive workshops covering a wide range of software tools, (2) providing Q&A sessions for peer-to-peer assistance and collaboration, and (3) bringing researchers together at social events like Hacky Hours.
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