A must-have resource to get you primed for testing R packages interfacing with the web, how ggblend taps into new compositing functionality for clearer plots, and how R stacks up with Excel in handling dates. Episode Links <ul> <li>This week&#39;s curator: Batool Almarzouq - <a href="https://twitter.com/batool664" rel="nofollow">@batool664</a> (Twitter)</li> <li><a href="https://www.r-consortium.org/blog/2023/05/15/better-understanding-your-tools-choices-online-book-http-testing-r" rel="nofollow">Better Understanding Your Tools Choices with Online Book HTTP Testing in R</a></li> <li><a href="https://github.com/mjskay/ggblend/" rel="nofollow">ggblend: Blending and compositing algebra for ggplot2</a></li> <li><a href="https://www.jumpingrivers.com/blog/date-r-excel-datetimes-transition/" rel="nofollow">Why should I use R: Handling Dates in R and Excel: Part 3</a></li> <li>Entire issue available at <a href="https://rweekly.org/2023-W21.html" rel="nofollow">rweekly.org/2023-W21</a></li> </ul> Supplement Resources <ul> <li>HTTP Testing with R: <a href="https://books.ropensci.org/http-testing/index.html" rel="nofollow">https://books.ropensci.org/http-testing/index.html</a></li> <li>Updating Graphics Devices for R 4.2.0: <a href="https://blog.r-project.org/2021/12/14/updating-graphics-devices-for-r-4.2.0/" rel="nofollow">https://blog.r-project.org/2021/12/14/updating-graphics-devices-for-r-4.2.0/</a></li> <li><code>ggdist</code> Visualizations of distribution and uncertainty: <a href="https://mjskay.github.io/ggdist/" rel="nofollow">https://mjskay.github.io/ggdist/</a></li> <li>Learning Bayesian Statistics Episode 66 - Uncertainty Visualization &amp; Usable Stats, with Matthew Kay <a href="https://learnbayesstats.com/episode/66-uncertainty-visualization-usable-stats-matthew-kay" rel="nofollow">https://learnbayesstats.com/episode/66-uncertainty-visualization-usable-stats-matthew-kay</a></li> </ul> Supporting the show <ul> <li>Use the contact page at <a href="https://rweekly.fireside.fm/contact" rel="nofollow">https://rweekly.fireside.fm/contact</a> to send us your feedback</li> <li><a href="https://podcastindex.org/podcast/1062040" rel="nofollow">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/" rel="nofollow">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" rel="nofollow">https://value4value.info</a> </li> <li>Get in touch with us on social media <ul> <li>Eric Nantz: <a href="https://twitter.com/theRcast" rel="nofollow">@theRcast</a> (Twitter) and <a href="https://podcastindex.social/@rpodcast" rel="nofollow">@rpodcast@podcastindex.social</a> (Mastodon)</li> <li>Mike Thomas: <a href="https://twitter.com/mike_ketchbrook" rel="nofollow">@mike_ketchbrook</a> (Twitter) and <a href="https://fosstodon.org/@mike_thomas" rel="nofollow">@mike_thomas@fosstodon.org</a> (Mastodon)</li> </ul></li> </ul>

Eric Nantz

The R Weekly podcast offers a quick description of the latest highlighted stories and other stories from the latest R Weekly issue, as curated by the R Weekly team and R community.

Issue 2025-W11 Highlights

r weekly highlights

R Weekly Highlights

rpodcast@getalby.com

reflex.livewire.io

A must-have resource to get you primed for testing R packages interfacing with the web, how ggblend taps into new compositing functionality for clearer plots, and how R stacks up with Excel in handling dates.

Value for Value ⚡️

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