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#rprogramming — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #rprogramming, aggregated by home.social.

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  1. 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: github.com/armcn/quickcheck #rstats #rprogramming #testing

  2. 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: github.com/armcn/quickcheck #rstats #rprogramming #testing

  3. 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.

    👉 guillaumepressiat.github.io/lo

    #rstats #datascience #rprogramming

  4. 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.

    👉 guillaumepressiat.github.io/lo

    #rstats #datascience #rprogramming

  5. 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: jumpingrivers.com/blog/whats-n

  6. 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: jumpingrivers.com/blog/whats-n

    #rstats #datascience #rprogramming

  7. 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.
    📘 payhip.com/CrisDigital (payhip.com in Bing)
    #rstats #datascience #rprogramming #coding

  8. 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.
    📘 payhip.com/CrisDigital (payhip.com in Bing)
    #rstats #datascience #rprogramming #coding

  9. 🤖🚫 '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. 🤔🔒
    old.reddit.com/r/programming/c #rprogramming #ban #LLMs #HackerNews #ngated

  10. 🤖🚫 '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. 🤔🔒
    old.reddit.com/r/programming/c #rprogramming #ban #LLMs #HackerNews #ngated

  11. 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 → romerusersgroup.github.io/cont

  12. 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 → romerusersgroup.github.io/cont

    #rstats #RProgramming #AI #DataScience

  13. 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: r-consortium.org/webinars/make

  14. 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: r-consortium.org/webinars/make

    #rstats #opensource #rprogramming #datascience

  15. 🚀 Introducing the Rome R Users Group

    A new community for people using 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:
    youtu.be/e8eX3b29BTo

  16. 🚀 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:
    youtu.be/e8eX3b29BTo

    #DataScience #OpenSource #Rome #RProgramming

  17. 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: github.com/armcn/quickcheck #rstats #rprogramming #testing

  18. 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: github.com/armcn/quickcheck #rstats #rprogramming #testing

  19. Organizers of the R User Group of Nueva Vizcaya State University (RNVSU) recently spoke with the R Consortium about building a provincial, university-based R community in the Philippines.

    Find out all the details!

    r-consortium.org/posts/ignitin

  20. Organizers of the R User Group of Nueva Vizcaya State University (RNVSU) recently spoke with the R Consortium about building a provincial, university-based R community in the Philippines.

    Find out all the details!

    r-consortium.org/posts/ignitin

    #rstats #opensource #rprogramming

  21. Having gotten my head fully around R pipes, I feel I need to write an article about it before I forget the fiddly details:

    |>, %>%, with(), lambdas, %$%, ...

    there are a lot of clever tricks for edge cases! (The with() hack I should have figured out for myself though!)

    Also, %$% -- the exposition pipe -- why didn't any of you tell me about this one!?!? You're slacking!

    #rlang #datascience #stats #statistics #rprogramming #tidyverse #tidydata #Rpipes #pipes!

  22. Having gotten my head fully around R pipes, I feel I need to write an article about it before I forget the fiddly details:

    |>, %>%, with(), lambdas, %$%, ...

    there are a lot of clever tricks for edge cases! (The with() hack I should have figured out for myself though!)

    Also, %$% -- the exposition pipe -- why didn't any of you tell me about this one!?!? You're slacking!

    #rlang #datascience #stats #statistics #rprogramming #tidyverse #tidydata #Rpipes #pipes!

  23. Risk 2026 · Full schedule available!

    R is used to calculate, measure, report, or mitigate risk. Find out the latest techniques, ask your questions directly to speakers, connect with other R users.

    Reproducible validation, Agentic R workflows, Security, risk visuals (ggplot design), outbreak-time geospatial risk modelling, much more...

    Check out the full schedule and register now! rconsortium.github.io/Risk_web

  24. Risk 2026 · Full schedule available!

    R is used to calculate, measure, report, or mitigate risk. Find out the latest techniques, ask your questions directly to speakers, connect with other R users.

    Reproducible validation, Agentic R workflows, Security, risk visuals (ggplot design), outbreak-time geospatial risk modelling, much more...

    Check out the full schedule and register now! rconsortium.github.io/Risk_web

    #rstats #rprogramming #risk

  25. My 2025 'Year in Review' blog post is now live! ✨ It was a year focused on deliberate, sustainable work while managing post-COVID recovery. I'm sharing insights on deep dives into APIs with `httr2`, the R Package Development Advent Calendar, and ongoing `ggseg` improvements. It’s all about creating durable outputs. Come read about my journey and what's next for 2026! What were your highlights? drmo.site/8NNsxa

  26. My 2025 'Year in Review' blog post is now live! ✨ It was a year focused on deliberate, sustainable work while managing post-COVID recovery. I'm sharing insights on deep dives into #RStats APIs with `httr2`, the R Package Development Advent Calendar, and ongoing `ggseg` improvements. It’s all about creating durable outputs. Come read about my journey and what's next for 2026! What were your highlights? #RStats #OpenSource #YearInReview #RProgramming #DeveloperLife drmo.site/8NNsxa

  27. 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

    software.ac.uk/rsmf-round-1-pr

  28. 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

    software.ac.uk/rsmf-round-1-pr

    #rstats #openSource #rprogramming

  29. 🚨 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. 🤦‍♂️
    webr.sh/ #RProgramming #BrowserTech #DataScience #HackerNews #ngated

  30. 🚨 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. 🤦‍♂️
    webr.sh/ #RProgramming #BrowserTech #DataScience #HackerNews #ngated

  31. 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

  32. 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

  33. 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 🔗 meetup.com/rladies-paris/event.

    #RStats #RStatsFr #Rprogramming #RLadies #Paris

  34. 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 🔗 meetup.com/rladies-paris/event.

    #RStats #RStatsFr #Rprogramming #RLadies #Paris

  35. 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: github.com/armcn/quickcheck #rstats #rprogramming #testing

  36. 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: github.com/armcn/quickcheck #rstats #rprogramming #testing

  37. 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: leanpub.com/c/rprogramming

    #courses #newreleases #rprogramming #datascience

  38. 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: leanpub.com/c/rprogramming

    #courses #newreleases #rprogramming #datascience

  39. 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

  40. 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: leanpub.com/c/rprogramming

    #courses #newreleases #rprogramming #datascience

  41. 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: leanpub.com/c/rprogramming

    #courses #newreleases #rprogramming #datascience

  42. New R post alert! 📣 Ever found `sapply` limiting when you need to iterate over *multiple* varying inputs? My latest article dives deep into `mapply`, showing how to elegantly handle paired arguments for tasks like data scaling or complex simulations. Level up your `apply` game! 💡
    drmo.site/bhXeDb

  43. New R post alert! 📣 Ever found `sapply` limiting when you need to iterate over *multiple* varying inputs? My latest article dives deep into `mapply`, showing how to elegantly handle paired arguments for tasks like data scaling or complex simulations. Level up your `apply` game! 💡
    drmo.site/bhXeDb
    #RStats #Mapply #RProgramming #DataScience #Coding

  44. 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: leanpub.com/c/rprogramming

    #courses #newreleases #rprogramming #datascience