R Weekly Highlights

Issue 2022-W49 Highlights

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Big new features coming in {dplyr} 1.1.0, how you can make your own #rstats wrapped, and enhancing your Shiny apps with JavaScript (without knowing much JS). Plus your feedback and more!

Episode Links

  • This week's curator: Jon Carroll - @carroll_jono (Twitter) & @[email protected] (Mastodon)
  • How to make your own #RStats Wrapped!
  • dplyr 1.1.0 is coming soon
  • How to enhance your Shiny apps with JavaScript (JS) without knowing much JS
  • Entire issue available at rweekly.org/2022-W49

    • Supplement Resources

    • Differences between .by and group_by() in {dplyr}: https://dplyr.tidyverse.org/dev/reference/dplyr_by.html#differences-between-by-and-group-by-
    • https://fosstodon.org/@posit_glimpse/109424114108257429
    • Travis Gerke's take on Spotify Wrapped https://www.linkedin.com/posts/travisgerke_spotify-wrapped-is-proof-that-sometimes-count-activity-7003778803088990209-E9yE
    • NCmisc: miscellaneous functions for creating adaptive functions and scripts https://cran.r-project.org/web/packages/NCmisc/index.html
    • Outstanding User Interfaces with Shiny https://unleash-shiny.rinterface.com/index.html
    • Javascript for R https://book.javascript-for-r.com/
    • Pharmaverse https://pharmaverse.org
    • Admiral hackathon https://www.cdisc.org/events/webinar/pre-admiral-hackathon-workshop-introduction-r-sas-programmers

      • Supporting the Show

      • Get a New Podcast App and send us a boost! https://podcastindex.org/apps?appTypes=app&elements=Value
      • A new way to think about value: https://value4value.info
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        R Weekly HighlightsBy Eric Nantz
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