Issue 2026-W37 Highlights

A data-driven investigation on how September is a dangerous month for bikers in Wisconsin, a novel look at the distribution of castles across the globe, and the fundamentals behind an influential analysis method commonly used in experimental designs. Episode Links This week's curator: Jonathan Kitt - @jonathankitt.bsky.social (Bluesky) Madison bike crashes peak in September An Atlas of Stone Repeated measures ANOVA in R Entire issue available at rweekly.org/2026-W37 Supplement Resources Madison Bikes https://www.madisonbikes.org Tidy Tuesday Castlemap dataset https://github.com/rfordatascience/tidytuesday/tree/main/data/2026/2026-09-01 Deepali's GitHub repository https://github.com/deepdk {rstatix}: Pipe-friendly Framework for Basic Statistical Tests in R https://rpkgs.datanovia.com/rstatix/ 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 Relm's Weepy Loop - Final Fantasy 6 - MkVaff - https://ocremix.org/remix/OCR00178 Cammy's London Drizzle - Super Street Fighter II: The New Challengers - MkVaff - https://ocremix.org/remix/OCR00453