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).<br />Episode Links<br /><ul><li>This week's curator: Jon Carroll - <a href="https://fosstodon.org/@jonocarroll" target="_blank">@[email protected]</a> (Mastodon) & <a href="https://twitter.com/carroll_jono" target="_blank">@carroll_jono</a> (X/Twitter)</li><li><a href="https://ropensci.org/blog/2024/11/26/allcontributors/" target="_blank">Give Thanks with the allcontributors Package</a></li><li><a href="https://www.spsanderson.com/steveondata/posts/2024-11-28/" target="_blank">How to Interpolate Missing Values in R: A Step-by-St</a><a href="https://github.com/ropensci/allcontributors/?tab=readme-ov-file#contributorsep" target="_blank">https://github.com/ropensci/allcontributors/?tab=readme-ov-file#contributorsep</a><a href="https://www.spsanderson.com/steveondata/posts/2024-11-28/" target="_blank"> Guide with Examples</a></li><li><a href="https://jokasan.github.io/spicy_like_curry/" target="_blank">Predicting NBA Score Plays - Steph Curry Shots</a></li><li>Entire issue available at <a href="https://rweekly.org/2024-W49.html" target="_blank">rweekly.org/2024-W49</a></li></ul>Supplement Resources<br /><ul><li>allcontributors - Acknowledge all contributors to a project <a href="https://docs.ropensci.org/allcontributors/" target="_blank">https://docs.ropensci.org/allcontributors/</a></li><li>Contributor section of {allcontributors} README <a href="https://github.com/ropensci/allcontributors/?tab=readme-ov-file#contributors" target="_blank">https://github.com/ropensci/allcontributors/?tab=readme-ov-file#contributors</a></li><li>zoo - S3 Infrastructure for Regular and Irregular Time Series <a href="https://cran.r-project.org/web/packages/zoo/index.html" target="_blank">https://cran.r-project.org/web/packages/zoo/index.html</a></li><li>mice - Multivariate Imputation by Chained Equations <a href="https://amices.org/mice/" target="_blank">https://amices.org/mice/</a></li><li>naniar - Data structures, summaries, and visualization for missing data <a href="http://naniar.njtierney.com/" target="_blank">http://naniar.njtierney.com/</a></li><li>hoopR - Data and tools for men's basketball <a href="https://hoopr.sportsdataverse.org/" target="_blank">https://hoopr.sportsdataverse.org/</a></li><li>BasketballAnalyzeR - Analysis and Visualization of Basketball Data <a href="https://github.com/sndmrc/BasketballAnalyzeR/tree/master" target="_blank">https://github.com/sndmrc/BasketballAnalyzeR/tree/master</a></li><li>Optimizing R/Shiny App Performance with Advanced Caching Techniques <a href="https://www.appsilon.com/post/r-shiny-caching-techniques" target="_blank">https://www.appsilon.com/post/r-shiny-caching-techniques</a></li></ul>Supporting the show<br /><ul><li>Use the contact page at <a href="https://serve.podhome.fm/custompage/r-weekly-highlights/contact" target="_blank">https://serve.podhome.fm/custompage/r-weekly-highlights/contact</a> to send us your feedback</li><li><a href="https://podcastindex.org/podcast/1062040" target="_blank">R-Weekly Highlights on the Podcastindex.org</a> - You can send a boost into the show directly in the Podcast Index. First, top-up with <a href="https://getalby.com/" target="_blank">Alby</a>, and then head over to the R-Weekly Highlights podcast entry on the index.</li><li>A new way to think about value: <a href="https://value4value.info" target="_blank">https://value4value.info</a></li><li>Get in touch with us on social media<ul><li>Eric Nantz: <a href="https://podcastindex.social/@rpodcast" target="_blank">@[email protected]</a> (Mastodon), <a href="https://bsky.app/profile/rpodcast.bsky.social" target="_blank">@rpodcast.bsky.social</a> (BlueSky) and <a href="https://twitter.com/theRcast" target="_blank">@theRcast</a> (X/Twitter)</li><li>Mike Thomas: <a href="https://fosstodon.org/@mike_thomas" target="_blank">@[email protected]</a> (Mastodon), <a href="https://bsky.app/profile/mike-thomas.bsky.social" target="_blank">@mike-thomas.bsky.social</a> (BlueSky), and <a href="https://twitter.com/mike_ketchbrook" target="_blank">@mike_ketchbrook</a> (X/Twitter) </li></ul></li></ul>Music credits powered by <a href="https://ocremix.org/" target="_blank">OCRemix</a><br /><ul><li>Diddy Kong Luau Party - Diddy Kong Racing - Guifrog - <a href="https://ocremix.org/remix/OCR02794" target="_blank">https://ocremix.org/remix/OCR02794</a></li><li>From Downtown - NBA Jam - ktriton, Mustin, Steve Lella - <a href="https://ocremix.org/remix/OCR02111" target="_blank">https://ocremix.org/remix/OCR02111</a></li></ul>
