R-Podcast (Eric) 

@rpodcast@podcastindex.social
820 Followers
244 Following
456 Posts
Hello! I'm a statistician & developer with a huge passion for the R language #rstats for statistical computing and Linux. I always enjoy learning with fun projects and following brilliant members of the community.
GitHubhttps://github.com/rpodcast
R-Podcasthttps://r-podcast.org
Shiny Developer Serieshttps://shinydevseries.com
R-Weeklyhttps://rweekly.org

After a longer than intended break, episode 207 of the @rstats @rweekly Highlights podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/207

πŸ› οΈ Generating Quarto syntax within R @djnavarro
πŸ€” Introduction to Behavior-Driven Development (Jakub Soboleqski)
πŸ”Ž Dive()ing into the hunt @milesmcbain

Plus one of your hosts could not resist a hot take or two!

h/t @mike_thomas & @R_by_Ryo πŸ™

#RStats #DataScience #V4V

Finally we are back with episode 206 of the @rstats @rweekly Highlights Podcast! https://serve.podhome.fm/episodepage/r-weekly-highlights/206

πŸ“¦ Containerize #Shiny apps with {shiny2docker} (Vincent Guyader) @thinkr
πŸ“Š ggplot2 layer explorer Shiny app @yjunechoe
🏎️ {quickr} @t_kalinowski

h/t @mike_thomas (and the wacky curator who never met a container he didn't like ...) πŸ™

#RStats #DataScience #V4V

Issue 2025-W24 Highlights

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…

R Weekly Highlights

Episode 203 of the @rstats @rweekly Highlights podcast is (finally) out! https://serve.podhome.fm/episodepage/r-weekly-highlights/203

πŸ€” Choosing a programming language @jperkel
⭐ Shiny and GitHub Copilot (Piotr Storozenko) @appsilon
🏫 Journey to learn R as a Humanities undergrad @bruno_ponne@x.com

h/t @mike_thomas & @parmsam πŸ™

#RStats #DataScience #V4V

Issue 2025-W18 Highlights

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…

R Weekly Highlights

Episode 202 of the @rstats @rweekly Highlights Podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/202

πŸš€ R 4.5.0 has landed (Russ Hyde) @jumpingrivers
🚰 plumber2 @thomasp85
πŸ—’ Introducing chores @simonpcouch.com @posit.co

What has you excited about R 4.5.0? Let us know! And if you're enjoying the podcast please share with your friends and network.

h/t @mike_thomas πŸ™ (and that Nix-loving curator)

#RStats #DataScience #V4V

Issue 2025-W16 Highlights

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…

R Weekly Highlights

Episode 201 of the @rstats @rweekly Highlights Podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/201

πŸ›  Positron joys & pains @Drmowinckels
🏫 Learning Tidyverse with AI @minecr
πŸ“ˆ Observable for R users @nrennie

h/t @mike_thomas & @jonocarroll πŸ™

#RStats #DataScience #V4V

Issue 2025-W15 Highlights

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…

R Weekly Highlights

Can you believe it? A major podcasting achievement has been unlocked with episode 200 of the @rstats @rweekly Highlights podcast! https://serve.podhome.fm/episodepage/r-weekly-highlights/200

πŸ›’ Text analysis and prediction with LLMs: {mall} does it all (Camila Livio) @Posit
πŸ“Š The guide to gradients in R and ggplot2 @jimjamslam

Plus great listener feedback from @maurolepore and our usual mix of aha moments and perhaps a few lame jokes πŸ˜…

h/t @mike_thomas & @jonmcalder πŸ™

#RStats #DataScience #V4V

Issue 2025-W14 Highlights

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…

R Weekly Highlights

you guys are not ready for my next R package

1st picture: #RStats code defining a #Nix pipeline where each node is a #Python process

2nd picture: the generated nix code

Episode 198 of the @rstats @rweekly Highlights podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/198

🌐 Unique documentation for your R package (Murielle Delmotte) @thinkr
πŸ“‰ LaTeX typesetting on graphs with {xdivr} (Paul Murrell)

h/t @mike_thomas & @batool664@x.com πŸ™

#RStats #DataScience #v4v

Issue 2025-W11 Highlights

Giving your package documentation site a little personality and much more with {pkgdown} customization, plus a novel new package to bring the power of…

R Weekly Highlights

Episode 197 of the @rstats @rweekly Highlights Podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/197

πŸ“¦ {ellmer} now in CRAN @hadleywickham
πŸ—ž Rapid RAG Prototyping @christophscheuch
πŸ“° Closeread Contest Winners @Posit

Plus an achievement unlocked: a recap of my appearance on Coder Radio episode 608 with @dominucco! https://coder.show/608

h/t @parmsam πŸ™

#RStats #DataScience #V4V

Issue 2025-W10 Highlights

A major milestone for leveraging LLMs in R just landed with the new ellmer package, along with a terrific showcase of retrieval-augmented generation…

R Weekly Highlights

Episode 196 of the @rstats @rweekly Highlights podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/196

πŸ€” CRAN holding R back? (Ari Lamstein)
πŸ““ Lit review with LLMs.@bluecology@x.com (Seascape Models)
πŸ’€ Introduction to laziness @maelle @Drmowinckels @hfrick

We are only 4 episodes away from 200! If you have a favorite moment from the previous episodes, we'd love to hear from you ✨

h/t @mike-thomas.bsky.social πŸ™

#RStats #DataScience #V4V

Issue 2025-W08 Highlights

Our candid takes on the state of CRAN's role in light of recent package archival events, how creative use of LLMs could greatly streamline your next…

R Weekly Highlights