By some minor miracle (even on April Fools) the R Weekly Highlights podcast has made it to episode 200! We go "virtual" shopping for LLM-powered text analysis and prediction using the mall package, and how recent advancements in the grid and ggplot2 packages empower you to make use of highly-customized gradients. Plus listener feedback!

Episode Links

• This week's curator: Jon Calder - @[email protected] (Mastodon) & @jonmcalder (X/Twitter)
• Text Summarization, Translation, and Classification using LLMs: mall does it all
• The guide to gradients in R and ggplot2
• Entire issue available at rweekly.org/2025-W14

Supplement Resources

• Mall: Run multiple LLM predictions against a data frame with R and Python https://mlverse.github.io/mall/
• Announcing rixpress https://brodrigues.co/posts/2025-03-20-announcing_rixpress.html
• Hack your way to scientific glory https://stats.andrewheiss.com/hack-your-way/538

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: @[email protected] (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter
  • Mike Thomas: @[email protected] (Mastodon), @mike-thomas.bsky.social (BlueSky), and @mike_ketchbrook (X/Twitter) 

Music credits powered by OCRemix

• Dark World Jazz - The Legend of Zelda: A Link to the Past - Gux - https://ocremix.org/remix/OCR00156