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  1. @hadleywickham You asked on Twitter last fall for examples that don't work. This used to pull the latest version of but doesn't work anymore (unless I save the page first)

    spans <- xml2::read_html("posit.co/download/rstudio-desk") |>
    rvest::html_element(".mt-\\[40px\\].body-md-regular") |>
    rvest::html_elements("span") |>
    rvest::html_text() |>
    stringr::str_extract("Version: .*")

    rstudio_latest_version <- spans[!is.na(spans)] |>
    stringr::str_extract("[0-9.\\+]+")

  2. @hadleywickham Background: In companion w %dofuture% (mastodon.social/@henrikbengtss), I'd like to introduce:

    z <- future_foreach2(X=1:3, Y=3:1, FUN=function(x, y) {
    sqrt(x/y)
    })

    to be the same as:

    z <- foreach(X=1:3, Y=3:1) %dofuture% {
    sqrt(x/y)
    }

    In the #futureverse, prefix 'future_' indicates a duality, e.g. future_lapply() for lapply() & future_map() for purrr::map(). So, we cannot call it future_foreach(), because that would incorrectly suggest it is a duality of foreach()

    2/

  3. I mostly followed the 2nd edition of "R Packages" by @hadleywickham @jennybryan with a few minor tweaks to account for the differences between GitHub and Bitbucket/Jira

    r-pkgs.org/release.html

    I highly recommend this book for anyone who is writing or maintaining R code! #rstats #statsodon

  4. 8/ 🙏 Thanks to
    @rOpenSci ,
    @hadleywickham , and
    @jennybryan for their guides and books! The package currently passes #rcmdcheck and almost passes #pkgcheck (need to write tests).

  5. 8/ 🙏 Thanks to
    @rOpenSci ,
    @hadleywickham , and
    @jennybryan for their guides and books! The package currently passes #rcmdcheck and almost passes #pkgcheck (need to write tests).

  6. 8/ 🙏 Thanks to
    @rOpenSci ,
    @hadleywickham , and
    @jennybryan for their guides and books! The package currently passes #rcmdcheck and almost passes #pkgcheck (need to write tests).

  7. 8/ 🙏 Thanks to
    @rOpenSci ,
    @hadleywickham , and
    @jennybryan for their guides and books! The package currently passes #rcmdcheck and almost passes #pkgcheck (need to write tests).

  8. 8/ 🙏 Thanks to
    @rOpenSci ,
    @hadleywickham , and
    @jennybryan for their guides and books! The package currently passes #rcmdcheck and almost passes #pkgcheck (need to write tests).

  9. When we teach R to #linguistics students we often use the #babynames package by @hadleywickham for exercises. It's a very rich dataset, and I love using it, and so I was inspired to make a Swedish equivalent. The #barnnamn package (github.com/evoling/barnnamn) is your plugin replacement for all Swedish baby name needs. It is based on data from #StatistiskaCentralbyrån covering the period 1998–2021. I update the package every year. #onomastics #rstats #lingvistik #svenska

  10. When we teach R to #linguistics students we often use the #babynames package by @hadleywickham for exercises. It's a very rich dataset, and I love using it, and so I was inspired to make a Swedish equivalent. The #barnnamn package (github.com/evoling/barnnamn) is your plugin replacement for all Swedish baby name needs. It is based on data from #StatistiskaCentralbyrån covering the period 1998–2021. I update the package every year. #onomastics #rstats #lingvistik #svenska

  11. I'm not sure where the discussions are happening but I'm curious about one slide in particular from @hadleywickham's talk

    youtube.com/live/ctc2kx3LxG8

    why the addition of 0 for each term of the multiplication? Is it to have NA values fail early? I was hoping it would be explained but not that I saw

  12. Want to learn about {purrr} & the updates in the 1.0.0 release?

    In this video @hadleywickham introduces {purrr} & shares some of his favorite highlights of this release (hint: progress bars, better error messages, some new map & list functions, & more).

    youtu.be/EGAs7zuRutY

    Whether you’re a “cat”-egorical beginner or a seasoned functional programming “purr”-fessional, you can pounce on this opportunity to check out what’s new in {purrr}.

  13. Episode 215 of the @rstats @rweekly Highlights Podcast is out! serve.podhome.fm/episodepage/r

    🤖 AI Newsletter @simonpcouch @sara-altman.bsky.social
    🎙️ The Test Set Podcast @mchow.com @hadleywickham @wesmckinney.com
    🤔 Haskell for data science @jonocarroll

    Looking for a new way of giving this holiday season? How about a fun boost with a modern podcast app as a virtual stocking stuffer! Learn more about these apps at newpodcastapps.com

    h/t @mike_thomas & @parmsam 🙏

    #RStats #DataScience #V4V

  14. Hello ! I'm facilitating a new free @DSLC Advanced R adv-r.hadley.nz cohort soon! It's been 5+ years since I read this excellent book by @hadleywickham , so I'm giving it a re-read. Let's learn to embrace {{ tidy evaluation }}, purrr::reduce() repetition, and count S/R systems!

    Join the DSLC.io Slack, then navigate to the -advr channel!

    BTW, I plan to cover {{ and in the club, even though they didn't make it into the book!

  15. #rstats #lavaan structural equation modeling -- a postdoc developer position at University of Amsterdam werkenbij.uva.nl/en/vacancies/. I am familiar with the package although not with all of the internal class structures and stuff. I would be comfortable working on this after the two book clubs on @hadleywickham's Advanced R and R Packages through the @DSLC community led by @jonthegeek ... but you also need to know the freaking matrix calculus to follow Satorra's asymptotic theory.

  16. Really enjoyed . I was lovely to see so many friendly faces and to re-connect with the world-wide R community 😀

  17. I love Hadley Wickham and his amazing work, I really do.

    But I hate tibbles.

    I know they can probably do stuff (I think they're supposed to do some of the data.table() stuff?)

    But tibbles broke data.frame indexing, and I always spend hours debugging shit to find out it's because tibbles broke indexing.

    #Rstats #tibbles #theTroubleWithTibbles

  18. 📜 Tidy Data [2014]

    By: Hadley Wickham

    Hadley Wickham's paper, "Tidy Data," published in September 2014, provides foundational principles for organizing and cleaning data, which has had considerable influence in the field of data science.

    📖 raw.githubusercontent.com/pape

    #paperswelove #research #compsci

  19. This is cool!

    R-Ladies Buenos Aires + R en Buenos Aires ran a community reading club on Hadley Wickham’s book Mastering Shiny (he’s on the R Consortium board).

    Peer-led sessions turned solo intent into shared progress.

    Details: r-consortium.org/posts/learnin

    #rstats #Shiny #RCommunity @RLadiesGlobal

  20. This is cool!

    R-Ladies Buenos Aires + R en Buenos Aires ran a community reading club on Hadley Wickham’s book Mastering Shiny (he’s on the R Consortium board).

    Peer-led sessions turned solo intent into shared progress.

    Details: r-consortium.org/posts/learnin

    @RLadiesGlobal

  21. This is cool!

    R-Ladies Buenos Aires + R en Buenos Aires ran a community reading club on Hadley Wickham’s book Mastering Shiny (he’s on the R Consortium board).

    Peer-led sessions turned solo intent into shared progress.

    Details: r-consortium.org/posts/learnin

    #rstats #Shiny #RCommunity @RLadiesGlobal

  22. This is cool!

    R-Ladies Buenos Aires + R en Buenos Aires ran a community reading club on Hadley Wickham’s book Mastering Shiny (he’s on the R Consortium board).

    Peer-led sessions turned solo intent into shared progress.

    Details: r-consortium.org/posts/learnin

    #rstats #Shiny #RCommunity @RLadiesGlobal