eddelbuettel, 14 days ago to ubuntu

Happy to share that #r2u now provides #Ubuntu 24.04, #BioConductor 3.19, and of course #Rstats 4.4.0.

20.7k CRAN packages, and 400+ BioConductor packages as apt binaries with fast and full resolution of all dependencies.

#r2u: Fast. Easy. Reliable. Pick All Three.

https://eddelbuettel.github.io/r2u/

eddelbuettel, 1 month ago to random

Earlier @TreeStarMan asked 'why is it so hard to get tidyverse, sf, lme4 onto Linux for #RStats' leading to another quick demo -- the link should open an 80 second mp4 video in your browser showing how thanks to #r2u the packages tidyverse, sf and lme4 along with all their dependencies install in ... thirty seconds on Ubuntu from a single command.

mp4 link:
https://eddelbuettel.github.io/images/2024-04-08/r2u_tidyverse_sf_lme4_2024-04-08.mp4

#r2y: Fast. Easy. Reliable. Pick all Three.

eddelbuettel, 10 months ago to random

R^4 Post #040: Easier R use at Colab via r2u
Using r2u for all of CRAN as binaries in Colab notebooks
https://dirk.eddelbuettel.com/blog/2023/07/08#040_r2u_used_at_colab
#rstats #r2u

Screenshot 2 of 3 of blog post at https://dirk.eddelbuettel.com/blog/2023/07/08#040_r2u_used_at_colab
Screenshot 3 of 3 of blog post at https://dirk.eddelbuettel.com/blog/2023/07/08#040_r2u_used_at_colab