The Nix and R train rolls on with automated caching, a collection of big improvements landing in webR, and how hand-crafted visualizations bring fundamental dplyr grouping operations to life.
Episode Links

• This week’s curator: Jon Calder (@jonmcalder) (X/Twitter)
• Reproducible data science with Nix, part 11 – build and cache binaries with Github Actions and Cachix
• webR 0.3.1
• Visualizing {dplyr}’s mutate(), summarize(), group_by(), and ungroup() with animations: Visually explore how {dplyr}’s more complex core functions work together to wrangle data
• Entire issue available at rweekly.org/2024-W15

Supplement Resources

• Bruno’s unit test involving {tidyselect} https://raw.githack.com/b-rodrigues/nixpkgs-r-updates-fails/targets-runs/output/r-updates-fails.html
• Cachix https://www.cachix.org/
• R/Medicine Call for Abstracts Open https://www.r-consortium.org/events/2024/04/05/r-medicine-coming-june-10-14-2024
• Survival analysis for time-to-event data with tidymodels https://www.tidyverse.org/blog/2024/04/tidymodels-survival-analysis/

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