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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. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. 🤖🚫 '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

  22. 🤖🚫 '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

  23. 🤖🚫 '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

  24. 🤖🚫 '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

  25. 🤖🚫 '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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 🚀 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

  37. 🚀 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

  38. 🚀 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

  39. 🚀 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

  40. 🚀 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

  41. 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

  42. 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

  43. 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

  44. 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

  45. 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