grusonh

grusonh, 4 months ago to random

I love the renv #rstats package for #reproducibility.
But I often receive feedback from frustrated colleagues who get package installation errors.

I have written a blog post to dive more into the issues that can arise when using renv, where they come from (spoiler: it's not renv's fault), and possible solutions.

"Things that can go wrong when using renv"

https://epiverse-trace.github.io/posts/renv-complications/

grusonh, 7 months ago to random

New #epiverse #rstats blog post!

"Lesser-known reasons to prefer apply() over for loops"

https://epiverse-trace.github.io/posts/for-vs-apply/
The debase on for loops vs apply() often crystallizes around (misconceptions on) performance.
But there are good reasons to prefer apply() to for loops. They revolve around readability and robustness:

1. Clarity of intent
2. Code conciseness
3. No variable leak
4. Pipeability.

grusonh, 8 months ago to random

How come you generally don't have to think about installing system dependencies when testing #rstats packages in the cloud (e.g., on GitHub Actions)? 🤔

Short answer: it's because the pak package 📦 is doing some amazing magic behind the scenes.

Long answer: jump down the rabbit hole with this new blog post where we explore the various layers of complexity pak deals with to achieve this result:

https://blog.r-hub.io/2023/09/26/system-dependency/

(cross-posted on #Epiverse blog: https://epiverse-trace.github.io/posts/system-dependencies/)