Gergely Daróczi on reviving Budapest Users of R Network (BURN) + using R with Strava data for daily insights—his personal diabetes story.

https://r-consortium.org/posts/reviving-budapest-users-of-r-network-and-reversing-diabetes-how-gergely-daroczi-brings-data-to-life-with-r/

#rstats #opensource #strava #rprogramming

R Consortium applauds the R Foundation & R Core on a major new investment in R’s future!

Nearly $650K (£499,981.21) over 24 months for “Enabling the Next Generation of Contributors to R,” modernizing infrastructure & governance, mentoring new contributors, and strengthening communication.

Partners include Posit, Google, A2-Ai and the R Consortium

https://www.software.ac.uk/rsmf-round-1-projects

#rstats #openSource #rprogramming

RSMF Round 1 Projects | Software Sustainability Institute

Round 1 of the Research Software Maintenance Fund awarded just under £3 million to 13 projects selected for their potential to deliver high impact, value for money, feasibility, and quality. The funded projects span research areas supported by all seven UK research councils and involve software written in Python, R, C++, Fortran, JavaScript, and other languages. Listed below, the 13 successful projects are split into four large awards and nine small awards.

🚨 Breaking News: R enthusiasts celebrate the groundbreaking achievement of finally getting R to run in a browser... by enabling #JavaScript. 🎉 Because, of course, nothing screams #innovation like making a heavyweight statistical tool rely on a glorified calculator script. 🤦‍♂️
https://webr.sh/ #RProgramming #BrowserTech #DataScience #HackerNews #ngated
webR - R in the browser

Interactive R environment running in your browser. Execute R code, create plots, and analyze data without installing anything.

webR
Excited to attend another talk where generative AI is pitched as your new coding co-pilot — until it confidently suggests a for-loop that summons Cthulhu. 🌀🧠 #RStats #AI #Rprogramming

Join us on November 30 from 4:00 pm to 5:00 pm CET (GMT+1) for a talk on using #Generative #AI in #R with Sharon Machlis @smach — Tech Journalist and Data Professional.

In this session, Sharon will offer an accessible, high-level overview of what’s possible today — including how #large #language #models can help you write and improve your R code, as well as add #AI-driven features to your applications.

RSVP 🔗 https://www.meetup.com/rladies-paris/events/312083756/.

#RStats #RStatsFr #Rprogramming #RLadies #Paris

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

New Course Release! R Programming for Data Science by Roger D. Peng

This course brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this course will lay the foundation for you to begin your journey learning data science.

Find it on Leanpub!

Link: https://leanpub.com/c/rprogramming

#courses #newreleases #rprogramming #datascience

Doing some work on my #R package #RandomWalker and looks like we got a nice speedup coming for all of the generating functions. Over 2,000 replications saw a large speedup where the original function takes 2.8x as long as the new.

#RStats #RProgramming #Optimization

Erdos AI IDE for Data Scientists | Lotas

See how Erdos combines notebook editing, docs intelligence, and AI assistance to speed up data science workflows.

Lotas

Today's blog post is a simple one, but still important to your data. Looking at dropping NA values.

Post: https://www.spsanderson.com/steveondata/posts/2025-10-20/

#R #RStats #RProgramming #TidyData

How to Master Data Cleaning in R: Three Methods for Removing Empty Rows – Steve’s Data Tips and Tricks

Master data cleaning in R! Learn two essential Base R methods, including complete.cases(), and the modern dplyr::drop_na() to quickly remove empty or incomplete rows. Plus, benchmark their performance!

Steve's Data Tips and Tricks