Ever wish your R pipelines talked back? 📣

logrittr adds a verbose pipe (%>=%) that logs what’s happening at every step—rows, columns, changes, and timing—without touching your dplyr code.

Great for debugging, teaching, or just understanding your data flow.

👉 https://guillaumepressiat.github.io/logrittr/

#rstats #datascience #rprogramming

A Verbose Pipe Operator for Logging dplyr Pipelines

Provides the `%>=%` pipe operator that logs row counts, column counts, added/dropped columns, and timing at each step of a dplyr pipeline, inspired by the SAS DATA step log. Supports nested pipelines and configurable options for display width, number formatting, and language.

R 4.6.0 "Because it was There" is set for release on 24 April 2026.

%notin% is now in base R, summary() handles character columns more neatly, and list.files() gets a fixed = TRUE argument so you no longer need to escape dots in patterns.

Full code examples on the Jumping Rivers blog written by Russ Hyde: https://www.jumpingrivers.com/blog/whats-new-r46/

#rstats #datascience #rprogramming

A Better R Programming Experience Thanks to Tree-sitter

Modern tooling for parsing, searching, formatting, editing R code, just like for other programming languages.

Polishing a few chapters of my R programming book this week. Focusing on clean workflows, reproducible analysis, and practical examples you can use in real projects. If you enjoy my R tutorials, you might like the book too.
📘 https://payhip.com/CrisDigital (payhip.com in Bing)
#rstats #datascience #rprogramming #coding
🤖🚫 'r/programming' takes an #Orwellian turn by banning discussion of LLM programming—because apparently, *everyone's* a bot now. 🙄🤷‍♂️ It's a #brave #new #world where even human users need a #CAPTCHA to talk about code. 🤔🔒
https://old.reddit.com/r/programming/comments/1s9jkzi/announcement_temporary_llm_content_ban/ #rprogramming #ban #LLMs #HackerNews #ngated

R-Hacks N.13 is out: Calling a Chatbot from R with ellmer

Stop copy-pasting between R and AI tools.
Bring AI directly into your workflow instead.

Minimal example • Python comparison • Analyst use case

Read it here → https://romerusersgroup.github.io/content/rhacks/posts/13-03292026/

#rstats #RProgramming #AI #DataScience

If you’ve thought about contributing to open source in R but didn’t know where to start, this is your entry point.

“Make your first R open source project contribution with git, forks, and PRs”
with Daniel Chen, Lecturer at Univ of British Columbia

Practical walkthrough using real workflows from the R ecosystem.

Part of the lead-up to R/Medicine 2026!

👉 Register here: https://r-consortium.org/webinars/make-your-first-r-open-source-project-contribution.html

#rstats #opensource #rprogramming #datascience

🚀 Introducing the Rome R Users Group

A new community for people using #RStats in Rome — from statistics and research to data science and real-world applications.

We’re building a space for learning, networking, and collaboration.

🎬 Intro video:
https://youtu.be/e8eX3b29BTo

#DataScience #OpenSource #Rome #RProgramming

Introduction

YouTube
Discover the power of property-based testing in R with the #quickcheck package! Seamlessly integrates with #testthat and offers a variety of generators for atomic vectors, lists, and tibbles. Perfect for ensuring your code's reliability. Check it out: https://github.com/armcn/quickcheck #rstats #rprogramming #testing
GitHub - armcn/quickcheck: Property Based Testing in R

Property Based Testing in R. Contribute to armcn/quickcheck development by creating an account on GitHub.

GitHub