What do we want #Rstats???
we want an audio book of statistical rethinking (including sound tracks) with @rlmcelreath voice!!!
What do we want #Rstats???
we want an audio book of statistical rethinking (including sound tracks) with @rlmcelreath voice!!!
Outreachy June 2025 Interns with Bioconductor
https://blog.bioconductor.org/posts/2025-12-12-outreachy-june25/
There's still time! CFP deadline is Dec 14!
R!sk 2026 welcomes talks about risk in all areas where it’s an impactful element in your work—from healthcare and climate to cybersecurity, supply chain, and beyond.
We’re looking for presentations that showcase how R helps you succeed in managing, analyzing, and communicating risk across diverse domains.
How to Assess Usage of your Package
Two tools for plotting genomics data:
figeno: Tool for making genomics figures in #python.
https://github.com/CompEpigen/figeno
Plotting Multi-omic Data with plotgardener in #rstats
https://phanstiellab.github.io/plotgardener/index.html
This is why I use #Rstats — it never gets loose and makes you call the animal control officers. #python
https://hachyderm.io/@liztai/115705267790158862
New blog post - Weekly Recap: GPT-5.2, DARPA Generative Optogenetics, #biosecurity, don't use local models for coding agents, red teaming, sandbagging, AI in science & education, MCP, #Rstats updates (R Data Scientist, R Weekly, R Works), new papers blog.stephenturner.us/p/weekly-rec...
Which LLM writes the best R code? posit.co/blog/r-llm-e... Interestingly, GPT-5.2 underperformed OpenAI’s own older/legacy GPT-5, as well as Gemini 3 and all the Claude models. #Rstats
From the @DSLC :rstats:chives:
:rstats: :python: :julia: DuckDB in Action: Club meetings & An introduction to DuckDB https://youtu.be/Cdi1lPdMfG8 #RStats #PyData #JuliaLang #DuckDB
:rstats: pharmaverse Examples: Demographic Table https://youtu.be/Vgpej0_C3lw #RStats
:rstats: R for Data Science: https://youtu.be/HicrANUfnj0 #RStats
Visit https://dslc.video for hours of new #DataScience videos every week!
Day 12: README.Rmd Automation
Create dynamic READMEs that stay up-to-date with your code.
Setup:
usethis::use_readme_rmd()
Include these sections:
• Installation instructions
• Basic usage example
• Lifecycle badges
• Build status badges
Keep it fresh:
# Add to .github/workflows/
- name: Render README
run: Rscript -e 'rmarkdown::render("README.Rmd")'
R doesnt need to be a hard and scientific tool 📈. You can use it to make art 🎨: https://github.com/cutterkom/generativeart #rstats #generativeart #art @cutterkom
I needed to do some text manipulation (reformat sample names) in R and it suddenly hit me that I can use regex capturing groups and write a on-liner. I was surprised that the default `base::gsub()` actually handled them without any issues:
```r
gsub(x = "Sample1_blah_Treatment2",
pattern = "^([\\w])\\w+(\\d+)_[^_]+_([\\w])\\w+(\\d+)",
replacement = "\\1\\2.\\3\\4",
perl = T)
```
> [1] "S1.T2"
My days of using Perl and learning regex is paying off 😅
Advent of SQL 2025 with DuckDB and R
Using LLMs to write #Rstats code.
https://posit.co/blog/r-llm-evaluation-03/
Wow GPT-5.1 is poor. More likely to generate incorrect code than correct...
chores 0.3.0 and local LLMs
OpenTelemetry + Shiny for R v1.12