Innovations in Contributor Acknowledgment and Handling Missing Data in R

As the holiday season enters the picture, learn how a humble R package helps you to give thanks to the contributors of your open-source package. Plus a practical introduction to missing value interpolation with a tried-and-true R package with a rich history, and a comprehensive analysis to predict an NBA superstar's next shot result (who has made a lot of shots already in his career).
Episode Links

• This week's curator: Jon Carroll - @jonocarroll@fosstodon.org (Mastodon) & @carroll_jono (X/Twitter)
• Give Thanks with the allcontributors Package
• How to Interpolate Missing Values in R: A Step-by-Sthttps://github.com/ropensci/allcontributors/?tab=readme-ov-file#contributorsep Guide with Examples
• Predicting NBA Score Plays - Steph Curry Shots
• Entire issue available at rweekly.org/2024-W49

Supplement Resources

• allcontributors - Acknowledge all contributors to a project https://docs.ropensci.org/allcontributors/
• Contributor section of {allcontributors} README https://github.com/ropensci/allcontributors/?tab=readme-ov-file#contributors
• zoo - S3 Infrastructure for Regular and Irregular Time Series https://cran.r-project.org/web/packages/zoo/index.html
• mice - Multivariate Imputation by Chained Equations https://amices.org/mice/
• naniar - Data structures, summaries, and visualization for missing data http://naniar.njtierney.com/
• hoopR - Data and tools for men's basketball https://hoopr.sportsdataverse.org/
• BasketballAnalyzeR - Analysis and Visualization of Basketball Data https://github.com/sndmrc/BasketballAnalyzeR/tree/master
• Optimizing R/Shiny App Performance with Advanced Caching Techniques https://www.appsilon.com/post/r-shiny-caching-techniques

Supporting the show

• Use the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedback
• R-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up with Alby, and then head over to the R-Weekly Highlights podcast entry on the index.
• A new way to think about value: https://value4value.info
• Get in touch with us on social media
  • Eric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)
  • Mike Thomas: @mike_thomas@fosstodon.org (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter) 

Music credits powered by OCRemix

• Diddy Kong Luau Party - Diddy Kong Racing - Guifrog - https://ocremix.org/remix/OCR02794
• From Downtown - NBA Jam - ktriton, Mustin, Steve Lella - https://ocremix.org/remix/OCR02111