A retrospective that showcases favourite data visualisation projects and insights from 2025, a practical guide offering R package maintainers methods to gauge how their package is being used, and an R package release introducing additional helper functions that extend dplyr::mutate() for generating columns with useful rowwise and list-column operations. Episode Links This week's curator: Batool Almarzouq - @batoolmm.bsky.social (Bluesky) & @batool664 (X/Twitter)My year in data visualisationHow to Assess Usage of your Package{mutagen} 0.5.0: Extensions to dplyr's mutateEntire issue available at rweekly.org/2025-W51Supporting the show Use the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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.infoGet in touch with us on social mediaEric 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

How the recent frontier LLM model releases compare for successfully generating R code, our take on the new Test Set data science podcast, and a surprising entry in the world of languages equipped for data science. Episode Links This week's curator: Sam Parmar - @parmsam@fosstodon.org (Mastodon) & @parmsam_ (X/Twitter)2025-12-05 AI NewsletterThe Test Set: Now on YouTube + a look at what’s nextHaskell IS a Great Language for Data ScienceEntire issue available at rweekly.org/2025-W50Supplement ResourcesAdd links discussed in the episode (in place of this sentence)How well do LLMs generate R code (Shiny app) https://skaltman-model-eval-app.share.connect.posit.cloud/Python is not a great language for data science (Claus Wilke) Part 1 https://blog.genesmindsmachines.com/p/python-is-not-a-great-language-forDataHaskell https://www.datahaskell.org/Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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.infoGet in touch with us on social mediaEric Nantz:

Prepare to deploy multiple LLM-powered agents for your next (secret) missions with mini007, a new contender to the high-performance linter tools with blazing performance that doesn't seem possible (but it is), and a usethis-like manager for your projects needing unified branding across deliverables. Episode Links This week's curator: Eric Nantz: @rpodcast@podcastindex.social (Mastodon) & @rpodcast.bsky.social (BlueSky) & @theRcast (X/Twitter)mini007 - A Lightweight Framework for Multi-Agent Orchestration in RJarl: just another R linter{rbranding} 0.1.0: Manage Branding and Accessibility of R ProjectsEntire issue available at rweekly.org/2025-W48Supplement Resources Add links discussed in the episode (in place of this sentence)I wrote this talk with an LLM (Hadley Wickham UseR! 2025 Keynote) https://www.youtube.com/watch?v=ctc2kx3LxG8mini007 GitHub repository https://github.com/feddelegrand7/mini007Jarl: Just Another R Linter documentation https://jarl.etiennebacher.comrbranding documentation site https://epiforesite.github.io/rbrandingSupporting the show Use the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the

Creating your own race to a programming finish line with a hidden gem in mirai, the lowdown on using Generative AI for data visualization with more than a few surprises, and going from start to finish with a Shiny app created under the BDD mindset.Episode LinksThis week's curator: Sam Parmar - @parmsam@fosstodon.org (Mastodon) & @parmsam_ (X/Twitter)Aaaaand… they’re off!Generative AI for Data VisualisationBehavior-Driven Development in R Shiny: A Step-By-Step ExampleEntire issue available at rweekly.org/2025-W42Supplement ResourcesDataBot https://positron.posit.co/databot.htmlSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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.infoGet in touch with us on social mediaEric 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

The ducks have made their presence felt in the world of databases, but now you can take a dip in a new Ducklake all within R! If you ever felt someone should write a book on the many ways you can slidecraft Quarto presentations, we have good news for you. Lastly, a spectacular series on harnessing the power of LLMs in your Shiny apps concludes with a powerful and very relevant use case to help review your next presentation slides.Plus … a popular segment returns Episode LinksThis week's curator: Eric Nantz: @rpodcast@podcastindex.social (Mastodon) & @rpodcast.bsky.social (BlueSky) & @theRcast (X/Twitter)Jumping in the Ducklake with nothing but R onSlidecrafting - Making beautiful slides with reveal.js and QuartoThe Shiny side of LLMs Part 3Entire issue available at rweekly.org/2025-W40Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast (X/Twitter)Mike Thomas:

Fresh off an amazing experience at posit::conf(2025), the R Weekly Highlights podcast is back with episode 211! Eric and Mike share their experiences at the conference and then dive into an amazing collection of highlights. We learn about a myriad of packages to programmatically write and parse markdown documents, initial impressions with vibe-coding an R package to learn Japanese, and the immense lengths the R-Exams project is taking to clean up messy scans of exam papers.Episode LinksThis week's curator: Jon Carroll - @jonocarroll@fosstodon.org (Mastodon) & @jonocarroll.fosstodon.org.ap.brid.gy (Bluesky) & @carroll_jono (X/Twitter)All the Ways to Programmatically Edit or Parse R Markdown / Quarto DocumentsI Vibe Coded an R PackageQuality Control for Scanned Multiple-Choice ExamsEntire issue available at rweekly.org/2025-W39Supplement ResourcesMike's presentation slides: Building Multilingual Data Science Teams https://ketchbrookanalytics.github.io/multilingual-data-science-presentationEric's presentation slides: Introducing Shinystate - Launching Shiny collaboration to new heights https://rpodcast.github.io/shinystate-positconf2025/#/titleslideSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, t

In episode 210 of the R Weekly Highlights podcast: The Positron IDE has officially been released after two years of intense development, and we share what excites us the most. Plus a new tool in your Shiny testing toolbox to bridge the gap between server-side and dynamic updating the user interface, and an entry point to making that URL of your Shiny app set inputs on the fly, a topic one of your hosts has been investigating for quite some time!Episode LinksThis week's curator: Colin Fay - @colinfay@fosstodon.org (Mastodon) & @colinfay.bsky.social (Bluesky) & @_ColinFay (X/Twitter)Announcing Positron, a new Data Science IDE{shinytesters}: Updating Inputs in testServerAdding Shiny app’s parameters to the URLEntire issue available at rweekly.org/2025-W34Supplement ResourcesThe Test Set Podcast https://posit.co/thetestset/Continue extension https://marketplace.visualstudio.com/items?itemName=Continue.continueshinytesters getting started vignette https://ashbaldry.github.io/shinytesters/articles/shinytesters.htmlEric's shinystate R package https://github.com/rpodcast/shinystateSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-u

In episode 209 of R Weekly Highlights we learn ways you can pinpoint just what is slowing down your R code, a novel framing for testing your next plumber API, and the adventures in recreating a NY Times chart entirely with ggplot2.Episode LinksThis week's curator: Jon Carroll - @jonocarroll@fosstodon.org (Mastodon) & @jonocarroll.fosstodon.org.ap.brid.gy (Bluesky) & @carroll_jono (X/Twitter)Speed Testing Code: Three LevelsTesting your Plumber APIs from RCopy the Pros: How to Recreate this NYTimes Chart in REntire issue available at rweekly.org/2025-W31Supplement ResourcesAdd links discussed in the episode (in place of this sentence)Eric and Mike's 2023 Shiny in Production workshop https://posit-conf-2023.github.io/shiny-r-prod/Jakub's R test gallery https://jakubsobolewski.com/r-tests-gallery/plumber2 - Easy and Powerful Webservers in R https://posit-dev.github.io/plumber2/Push straight to prod API development with R and Tensorflow at T-Mobile https://posit.co/resources/videos/push-straight-to-prod-api-development-with-r-and-tensorflow-at-tmobile/VCR R package by Scott Chamberlain https://github.com/ropensci/vcr/GitHub repository with Spencer's ggplot2 code https://github.com/Pecners/make_that_chartSupporting the showUse the contact page at

In episode 208 of R Weekly Highlights, the LLM train keeps moving along in the data science community: First impressions of the new Positron Assistant for code completion and basic package development, plus a friendly app for exploring the upcoming posit::conf(2025) agenda created by one of our talented R Weekly curators!Episode LinksThis week's curator: Jon Calder - @jonmcalder@fosstodon.org (Mastodon) & @jonmcalder (X/Twitter) * @jonmcalder@bsky.socialPositron Assistant: GitHub Copilot and Claude-Powered Agentic Coding in RYour LLM-powered guide to the posit::conf(2025) agendaEntire issue available at rweekly.org/2025-W30Supplement ResourcesPositron Assistant https://positron.posit.co/assistantposit::conf(2025) Agenda Chat Bot https://posit-ai-posit-conf-agenda-chat.share.connect.posit.cloud/Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and

It's been far too long since our last episode of R Weekly Highlights, but we are finally back with episode 207! In this episode we learn about novel ways to automate fancy Quarto content, how we can be on our best behavior with behavior-driven-development, and finding that pesky portion of data breaking long data pipelines with a magical debugging technique. Plus one of your hosts could not resist a hot take or two!Episode LinksThis week's curator: Ryo Nakagawara - @R_by_Ryo@mstdn.social (Mastodon) & @rbyryo.bsky.social (Bluesky) & @R_by_Ryo) (X/Twitter)Generating quarto syntax within RAn Introduction to Behavior-Driven Development in RDive()ing into the hunt #rstatsEntire issue available at rweekly.org/2025-W28Supplement ResourcesAdd links discussed in the episode (in place of this sentence){quartose}: Dynamically Generate Quarto Syntax https://quartose.djnavarro.net/Cucumber: write automated tests in plain language https://cucumber.io/{cucumber}: An implementation of the Cucumber testing framework in R https://jakubsobolewski.com/cucumber/Shiny App-Packages https://mjfrigaard.github.io/shiny-app-pkgs/Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast Index. First, top-up

The summer schedule has been crazy, but we finally have a new episode of R Weekly Highlights! In this episode: How the new shiny2docker package eases your entry to the world of containers, the power of WebAssembly in full ggplot2 glory, and how the latest solution for speeding up R code draws upon a classic computing language you may not expect.Episode LinksThis week's curator: Eric Nantz: @rpodcast@podcastindex.social (Mastodon) & @rpodcast.bsky.social (BlueSky) & @theRcast (X/Twitter)Containerizing Shiny Apps with {shiny2docker}: A Step-by-Step Guideggplot2 layer explorer{quickr} 0.1.0: Compiler for REntire issue available at rweekly.org/2025-W24Supplement Resources{attachment} - Tools to deal with dependencies in scripts, Rmd, and packages https://thinkr-open.github.io/attachment/The Rocker Project - Docker Containers for the R Environment https://rocker-project.org/r2u - CRAN as Ubuntu binaries https://eddelbuettel.github.io/r2u/ShinyProxy https://shinyproxy.io/GitHub repository for ggplot2 Explorer https://github.com/yjunechoe/ggplot2-layer-explorerSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-Weekly Highlights on the Podcastindex.org - You can send a boost into the show directly in the Podcast

Have you wanted a chance to rewrite your own history? With Git, you certainly can! We learn that and other amazing tips to supercharge your version control skills. Plus a promising new package to let your Shiny app users make the call on their preferred layouts, and how mocking is not something to dread when you build unit tests interacting with external services.Episode LinksThis week's curator: Jon Calder - @jonmcalder@fosstodon.org (Mastodon) & @jonmcalder (X/Twitter)Hack your way to a good Git history (SLC-RUG May) (slides)Introducing dockViewR 0.1.0: a layout manager for R and Shiny.Mock Them All: Simulate to Better Test with testthatEntire issue available at rweekly.org/2025-W21Supplement Resources{saperpolette} Exercises (playgrounds) to go with oh (****) Git and beyond, for R users https://docs.ropensci.org/saperlipopette/No code data analysis with {blockr} (R/Pharma 2024 Workshop) https://www.youtube.com/watch?v=PQvTQqcmadYPrototype Shiny apps in Excalidraw with Shinydraw https://github.com/MikeJohnPage/shinydrawMulti-language pipelines with rixpress https://brodrigues.co/posts/2025-05-13-test_rixpress.htmlR/Medicine 2025 https://rconsortium.github.io/RMedicine_website/Fonts in R https://www.tidyverse.org/blog/2025/05/fonts-in-r/Supporting the showUse the contact page at

Episode 204 of R Weekly Highlights is jam-packed with four highlights! We discuss the recent improvements to the recipes package in the tidymodels suite, Nicola Rennie's adventures with this year's 30 day chart challenge, going back to math school with Jon Carroll's latest explorations in digit rotation, and our picks out of the excellent collection of the top 40 R packages for March.Episode LinksThis week's curator: Batool Almarzouq - @batoolmm.bsky.social (Bluesky) & @batool664 (X/Twitter)recipes 1.3.030 Day Chart Challenge 2025Rotation with ModuloMarch 2025 Top 40 New CRAN PackagesEntire issue available at rweekly.org/2025-W19Supplement Resources{recipes} Pipeable steps for feature engineering and data preprocessing to prepare for modeling https://recipes.tidymodels.org/tidymodels books https://www.tidymodels.org/books/index.htmlNicola's 30 day chart challenge browser app https://nrennie.rbind.io/30DayChartChallenge/{tidyplots} https://tidyplots.org{echarts4r} https://echarts4r.john-coene.comhttps://www.reddit.com/r/hockey/comments/1kfd57j/oc_round_2_matchups_are_set_lego_style/Using {autodb} https://cran.r-project.org/web/packages/autodb/vignettes/autodb.html{kitesquare} Kite-Square plots for contingency tables

In this episode of R Weekly Highlights we hear from industry experts on how they choose a programming language for their projects, a big boost to the use of copilot for building your next Shiny app, and the learning journey of a new R user.Episode LinksThis week's curator: Sam Parmar - @parmsam@fosstodon.org (Mastodon) & @parmsam_ (X/Twitter)Which programming language should I use? A guide for early-career researchersReliable Shiny Code with Copilot and Posit’s VS Code ExtensionMy Journey Learning R as a Humanities UndergradEntire issue available at rweekly.org/2025-W18Supplement ResourcesR for Data Science 2nd Edition https://r4ds.hadley.nz/Data Science Learning Community https://dslc.io/IssueTrackeR https://tanguybarthelemy.github.io/IssueTrackeR 3MW (Scalable reporting with Quarto) https://3mw.albert-rapp.de/p/scalable-reporting-with-quartoSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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.infoGet in touch with us on social media Eric Nantz:

It's not every day that we get to dive into a brand new release of R, but we get to do just that in episode 202! We share our takes on the major new features of R 4.5.0. We also preview the re-imagination of the engine powering R-based APIs, and the LLM-powered helper to get some of those R package development chores done.Episode LinksThis week's curator: Eric Nantz: @rpodcast@podcastindex.social (Mastodon) & @rpodcast.bsky.social (BlueSky) & @theRcast (X/Twitter)What's new in R 4.5.0?plumber2Introducing choresEntire issue available at rweekly.org/2025-W16Supplement Resources{basepenguins} Convert files that use palmerpenguins to work with datasets https://ellakaye.github.io/basepenguins/Upgrading from {plumber} https://posit-dev.github.io/plumber2/articles/migration.html{chores} gallery https://simonpcouch.github.io/chores/articles/gallery.html{chores} custom helpers https://simonpcouch.github.io/chores/articles/custom.htmlSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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 abo

In this episode of R Weekly Highlights: We have a six-month follow-up perspective from an early Positron user, how the current landscape of AI tools perform when learning the ropes with the Tidyverse, and how you can create your first Observable plot while using R for data munging.Episode LinksThis week's curator: Jon Carroll - @jonocarroll@fosstodon.org (Mastodon) & @jonocarroll.fosstodon.org.ap.brid.gy (Bluesky) & @carroll_jono (X/Twitter)Positron: current joys and painsLearning the tidyverse with the help of AI toolsObservable for R usersEntire issue available at rweekly.org/2025-W15Supplement ResourcesPositron +1e https://open-vsx.org/extension/grrrck/positron-plus-1-eVanishing Gradients episode 47 (The Great Pacific Garbage Patch of Code Slop with Joe Reis) https://vanishinggradients.fireside.fm/47Observable color palette viewer https://observablehq.com/plot/features/scales#color-scalesObservable Plots (R/Pharma 2024 Workshop Series) https://www.youtube.com/watch?v=M6fP68XnacMSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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

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 LinksThis week's curator: Jon Calder - @jonmcalder@fosstodon.org (Mastodon) & @jonmcalder (X/Twitter)Text Summarization, Translation, and Classification using LLMs: mall does it allThe guide to gradients in R and ggplot2Entire issue available at rweekly.org/2025-W14Supplement ResourcesMall: 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.htmlHack your way to scientific glory https://stats.andrewheiss.com/hack-your-way/538Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon),

Thriving in a multi-lingual data science lifestyle while authoring your next Quarto project, putting LLMs to the scientific test with parsing manuscripts, and replicating a life-saving spatial visualization originally created over 170 years ago!Episode LinksThis week's curator: Ryo Nakagawara - @R_by_Ryo@mstdn.social (Mastodon) & @rbyryo.bsky.social (Bluesky) & @R_by_Ryo) (X/Twitter)Creating multilingual documentation with QuartoThe ellmer package for using LLMs with R is a game changer for scientists{SnowData} 1.0.0: Historical Data from John Snow's 1854 Cholera Outbreak MapEntire issue available at rweekly.org/2025-W12Supplement ResourcesWes McKinney & Hadley Wickham (on cross-language collaboration, Positron, career beginnings, & more) https://youtu.be/D-xmvFY_i7UTabby Quarto extension https://quarto.thecoatlessprofessor.com/tabby/Plotting the Past: The 1854 Cholera Outbreak Visualized in R https://simplifyingstats.wordpress.com/2025/01/18/plotting-the-past-the-1854-cholera-outbreak-visualised-in-r/Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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 Hig

Giving your package documentation site a little personality and much more with {pkgdown} customization, plus a novel new package to bring the power of LaTeX to all of your plots!Episode LinksThis week's curator: Batool Almarzouq - @batoolmm.bsky.social (Bluesky) & @batool664 (X/Twitter)Customize your expedition: Create a unique documentation for your R PackageLaTeX Typesetting in R: The 'xdvir' PackageEntire issue available at rweekly.org/2025-W11Supplement Resources{xdvir} package vignette https://cran.r-project.org/web/packages/xdvir/vignettes/xdvir-intro.htmltinytex- A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live https://yihui.org/tinytex/Adding arm64 to r2u https://dirk.eddelbuettel.com/blog/2025/03/04#046_arm64_comes_to_r2uWebsite for tidyplots use cases https://tidyplots.org/use-cases/Supporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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.infoGet in touch with us on social mediaEric Nantz:

A major milestone for leveraging LLMs in R just landed with the new ellmer package, along with a terrific showcase of retrieval-augmented generation combining ellmer and DuckDB. Plus an inspiring roundup of the recent Closeread contest winners.Episode LinksThis week's curator: Sam Parmar - @parmsam@fosstodon.org (Mastodon) & @parmsam_ (X/Twitter)Announcing ellmer: A package for interacting with Large Language Models in RRapid RAG Prototyping: Building a Retrieval Augmented Generation Prototype with ellmer and DuckDBWinners of the Closeread Prize – Data-Driven Scrollytelling with QuartoEntire issue available at rweekly.org/2025-W10Supplement ResourcesCoder Radio episode 608 - R with Eric Nantz https://coder.show/608nhyris - The minimal framework for transform R shiny application into standaloneSupporting the showUse the contact page at https://serve.podhome.fm/custompage/r-weekly-highlights/contact to send us your feedbackR-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.infoGet in touch with us on social mediaEric Nantz: @rpodcast@podcastindex.social (Mastodon), @rpodcast.bsky.social (BlueSky) and @theRcast