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  1. @zeileis damn, I was also working on this! Well, at least something I can cross off my open projects list #rstats #colorblind #palette

  2. @zeileis damn, I was also working on this! Well, at least something I can cross off my open projects list #rstats #colorblind #palette

  3. @zeileis damn, I was also working on this! Well, at least something I can cross off my open projects list #rstats #colorblind #palette

  4. @zeileis damn, I was also working on this! Well, at least something I can cross off my open projects list #rstats #colorblind #palette

  5. @zeileis damn, I was also working on this! Well, at least something I can cross off my open projects list #rstats #colorblind #palette

  6. 🚨 New working paper about examining exam results

    📈 Infer student abilities and exercise difficulties with models

    ✅ Detect and interpret differential effects of exercises in subgroups of an introductory exam

    zeileis.org/news/exams/

  7. @zeileis @uniinnsbruck Thanks for sharing the great article with insights about creating automated #IMS #QTI #eAssessment with R! Very powerful, indeed!

    And congrats again for the well deserved award!

  8. New R/exams interface to "webexercises" pkg by @debruine & @dalejbarr

    Embed exercises in static HTML, R/Markdown, Quarto, etc.

    Pkg still on R-Forge, replication code in alt text of first image.

    Try: zeileis.org/quiz.html

  9. Resumi e comentei as recomendações de @zeileis e Murrell sobre quais paletas de cores usar na visualização de cada tipo de dados. O artigo original tem um foco nas melhorias recentes do #RStats, mas meu resumo tem mais a ver com boas práticas em geral

    blog.leonardof.med.br/2024/cor

    #dataviz #blog #estatística

  10. Hi

    Can anybody point me to good base R plot resources (templates, tutorials …) please?

    No , no

    Something like and Zeileis & Murrell, "Coloring in R's Blind Spot", The R Journal, 2023 doi.org/10.32614/RJ-2023-071

  11. Next time you want to cite #rgbif, you can now #CiteTheDOI:

    doi.org/10.32614/CRAN.package.

    (obviously, don’t forget to also cite the DATA using a download or derived dataset DOI 😁)
    fosstodon.org/@zeileis/1125970

  12. Very excited to participate on Haley Jeppson’s panel for “Use of Color in Statistical Charts” at #jsm2023! (Sunday 2-4 PM, CC-810)

    I’ll use this (in progress) collection of @observablehq notebooks for computing on color:

    observablehq.com/collection/@i

    Thanks to @zeileis, whose colorspace package in R inspired much of this work:

    hclwizard.org/r-colorspace

  13. Fresh off an amazing #positconf2025, episode 211 of the @rstats @rweekly Highlights Podcast is out! serve.podhome.fm/episodepage/r

    🏗️ Parse & edit markdown documents programmatically @rOpenSci @maelle @cderv @zkamvar
    🤖 Vibe-coding a new package to learn Japanese @jonocarroll
    🏫 Quality control scanned exam documents with R-Exams @zeileis

    We are proudly listed on the Podcast Index! Find us at podcastindex.org/podcast/10620

    h/t @mike_thomas & @jonocarroll 🙏

    #RStats #DataScience #V4V

  14. Tomorrow the UEFA Women’s Euro 2025 kicks off in🇨🇭Switzerland. 🎉

    The Spanish national team 🇪🇸 is favored to take home the trophy. 🏆

    Germany 🇩🇪, France 🇫🇷 , and England 🏴󠁧󠁢󠁥󠁮󠁧󠁿 are also strong contenders for winning the European title - according to @zeileis from the University of Innsbruck and a team of statisticians from TU Dortmund University 📊

    ⚽️ uibk.ac.at/en/newsroom/2025/st

    #WEURO2025 #soccer #statistics #tudortmund #football

    📸: Pixabay/Alexander Fox

  15. @lwpembleton I just came across your post. I took it as inspiration to achieve sth similar with base and

    There is one small issue that I could not solve instantly with the Cylinder as a factor. Therefore, this `Cylinders <- as.factor(mtcars$cyl)` hack. Maybe @gmcd or @zeileis has a quick suggestion?

  16. So tired of the gatekeepers on 😰

    First they _closed_ a perfectly valid question about a bug in

    When I improved the question they lectured me that it was too trivial to be about software development and _deleted_ it.

    stackoverflow.com/questions/79

  17. 🚨 New convenience function in and for

    add_cloze() for creating cloze exercises more easily, especially for data-based quizzes

    🐧 Example exercise

    R-exams.org/templates/penguins/

  18. 🎨 How to create elegant with base and the pkg

    📈 useR! 2025 presentation by Grant McDermott @gmcd presents

    youtube.com/watch?v=MOB-QS-vMeY

  19. 🚨 New CRAN Task View: Anomaly Detection

    By Priyanga Dilini Talagala @pridiltal , Rob J. Hyndman @robjhyndman Gaetano Romano

    URL: CRAN.R-project.org/view=Anomal

  20. @rpodcast @rweekly Thanks for the feature and the very kind words about , very much appreciated!

    Quick comment about the "low-tech" format of written/scanned exams: These seem to be becoming more popular again because it's easier to control access to AI tools and prevent cheating etc.

    Alternatively you can export R/exams also to learning management systems like Moodle, Canvas & Co. This also enables embedding individualized data sets for download.

  21. 🚨 PSA for R/exams users. :rstats:

    New StackOverflow post showing how to generate interactive overviews of all your exercise files. In response to the question by Luca Scrucca.

    stackoverflow.com/questions/79

  22. 📢 New tutorial: Quality control for scanned multiple-choice exams with nops_fix() in

    - Automatic display of problematic sheets
    - Prompting for manual corrections
    - Specialized checks for implausible answer patterns
    - Manual review of specific exam sheets

    R-exams.org/tutorials/nops_fix/

  23. ⚽ Probabilistic forecasts for today's match at using our machine learning ensemble.

    In Quarterfinal:
    Probability to advance: 43.0% vs. 57.0%

    🥅 In normal time:
    Mean goals: 1.0-1.2
    🇳🇴 29.6%
    Draw 28.5%
    🇮🇹 41.9%

    Heatmap with probabilistic forecasts for the possible outcomes of the match in normal time:

  24. ⚽ Probabilistic forecasts for today's matches at using our machine learning ensemble.

    In Group A:
    🥅 Mean goals: 1.4-0.8

    🇳🇴 49.7%
    Draw 27.5%
    🇮🇸 22.8%

    Heatmap with probabilistic forecasts for the possible outcomes of the match:

  25. ⚽ Probabilistic forecasts for today's matches at using our machine learning ensemble.

    In Group A:
    🥅 Mean goals: 1.6-0.7

    🇳🇴 59.4%
    Draw 25.0%
    🇫🇮 15.6%

    Heatmap with probabilistic forecasts for the possible outcomes of the match:

  26. ⚽ Probabilistic forecasts for today's matches at using our machine learning ensemble.

    In Group A:
    🥅 Mean goals: 1.7-0.9

    🇨🇭 54.9%
    Draw 24.3%
    🇳🇴 20.8%

    Heatmap with probabilistic forecasts for the possible outcomes of the match:

  27. ⚽ Probabilistic forecasts for today's matches at using our machine learning ensemble.

    In Group D:
    🥅 Mean goals: 0.9-1.3

    🇳🇱 25.9%
    Draw 28.2%
    🇫🇷 45.9%

    Heatmap with probabilistic forecasts for the possible outcomes of the match:

  28. ⚽ Probabilistic forecasts for today's matches at using our machine learning ensemble.

    In Group D:
    🥅 Mean goals: 1.5-0.8

    🏴󠁧󠁢󠁥󠁮󠁧󠁿 54.8%
    Draw 26.3%
    🇳🇱 18.9%

    Heatmap with probabilistic forecasts for the possible outcomes of the match:

  29. ⚽ Probabilistic forecasts for today's matches at using our machine learning ensemble.

    In Group D:
    🥅 Mean goals: 0.5-2.5

    🏴󠁧󠁢󠁷󠁬󠁳󠁿 6.1%
    Draw 13.9%
    🇳🇱 80.1%

    Heatmap with probabilistic forecasts for the possible outcomes of the match:

  30. ⚽ Probabilistic forecasts for today's match at using our machine learning ensemble.

    In Semifinal:
    Probability to advance: 49.7% vs. 50.3%

    🥅 In normal time:
    Mean goals: 1.2-1.2
    🇩🇪 36.0%
    Draw 27.4%
    🇪🇸 36.6%

    Heatmap with probabilistic forecasts for the possible outcomes of the match in normal time: