Issue 2022-W49 Highlights

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