this cow is going places 🐄🚗💨

You call it an ifelse statement, I call it a lightweight, agentic decision module operating within a deterministic inference framework

My #rstats friends - R-Ladies Canberra x Melbourne x Sydney are thrilled to bring you a #TidyTuesday event! 🎨📊

Come along, connect with the community + stretch your data muscles 😊 All coding experience levels are welcome!

📆: Tue May 6
⏰: 1:00 PM AEST
ℹ️: bit.ly/42rFX2D

🚧 We're proposing a new section "Machine Learning of Spatial Data" for the #rstats CRAN Task View: Analysis of Spatial Data.

github.com/cran-task-vi...

Feedback is welcome -- are we missing key packages or ideas?

Feel free to reply or DM.

#spatial #MachineLearning #gischat

We are overjoyed to welcome Will Landau as a keynote speaker for useR! 2025. He is a Senior Research Scientist at Eli Lilly and Company and will present his talk Powerful simulation pipelines with {targets}.

user2025.r-project.org/register
#RStats #useR2025

This package always freaks me out. In Australia ASIO is the national spy agency (aka our CIA/MI6) #rstats

For the last couple of months I've been working on something and I'm excited to finally share an early preview:

Say hello to plumber2 🎉

plumber2 is a full rewrite of the plumber package for creating powerful webapis in #rstats. It takes everything we have learned from plumber and adds even more

A cool thing about the figure above is it is set to 34 million years ago and the plates are adjusted accordingly. There's an R package for this! github.com/GPlates/rgpl...

This is the best survival analysis introduction with understandable language + #rstats code + depth + dig deeper references, I've come across.

Shall I name it "A Smart Brevity Introduction of Survival Analysis" by @zabore.bsky.social

www.emilyzabor.com/survival-ana...

🌈 rainbowR meet-up: Wednesday March 26th, 5pm UTC 🌈

- connect with other LGBTQ+ people who code in #RStats 🏳️‍🌈
- ask questions about R 🙋
- tell us about an R package you like 📦
- show us something R-related you’ve been working on 💻

➡️ Registration via rainbowr.org/meetups

I've seen a few posts recently about how strict CRAN requirements that make installation easy for users are overly burdensome for devs, and then compare it to other ecosystems where that's not the case. I think the divide stems from one major difference between #RStats and languages like python:

littler 0.3.21 on CRAN: Lots Moar Features!
Everybody's favourite way to rock R at the command-line and in scripts
dirk.eddelbuettel.com/blog/2025/03...
#rstats

(doing grouped window functions on 8 billion rows of data with 16gb RAM from within an #rstats script is wild)