@hrbrmstr corporate R == Posit? I think it's the reverse for Shiny. There's some interesting _generalization_ of the Shiny library happening. c.f. Shiny with React work that Winston is leading:

https://github.com/wch/shiny-react
https://github.com/wch/create-shiny-react-app

I'm evaluating the use of it for a more _complex_ Shiny Application. Though, I may fall back to {Ambiorix} or just bite the bullet and port everything I need into Python.

Relevant PR: https://github.com/rstudio/shiny/pull/4339

Shiny for R: GPL-3 → MIT ✨

Your dashboards are now legally chill. Deploy without consulting three lawyers and a ouija board first.

#rstats #rshiny

Released a #Quarto extension for collapsible content blocks.

Why? The {details} are inside.

📚 https://quarto.thecoatlessprofessor.com/details/
💻 https://github.com/coatless-quarto/details

Turning another year older tomorrow and celebrating by releasing Quarto extensions into the wild. Gift to me, gift to you. And yes, if you've been peeking at my GitHub, you already know what's coming. Act surprised!

{ripper} dissects your #Quarto documents, extracting code blocks by language and leaving executable scripts behind.

Supports #rstats, #python, #julia, and 13 other victims.

For those who never stopped celebrating Halloween.

📚 https://quarto.thecoatlessprofessor.com/ripper/
💻 https://github.com/coatless-quarto/ripper

@hrbrmstr hmm, "corporate R". Mind defining? Is this just tidyverse always influx or Posit's overall R support now being degraded in a post-polyglot first world?

CRAN, I can agree with at times with the monorepo hell and just infuriating hidden checks for _no reason_ on package submit.

One does not simply stay away from social media. I return with: R packages, portable R, Shiny/shinylive apps, Electron integrations, Python packages, Quarto extensions, LLMs, and blog posts. The code has been reforged. The roadmap is full.

@trevorld The CRAN maintainer gleefully triggering mass deadline emails was part of the toot's joke: CRAN definitely doesn't work that way (at least for URLs)! Though given all the very real work happening right now with due to compilation standards changing for an upstream package I heavily depend upon, I figured we could all use a laugh about imaginary URL apocalypses.

Nothing makes you feel vintage like your license getting moved to the retirement home directory. GNU put GPL 2.0 in /old-licenses/ causing #rstats packages to throw URL warnings. Somewhere a CRAN maintainer is rubbing their hands together, ready to trigger 847 email requests...

Flying to Istanbul to meet my SO's family felt like nervous excitement. Flying to California felt like possibility. Flying back home for a funeral feels like gravity remembering how to work. Now Illinois feels like living in a house where all the furniture is made of memories.

@Mehrad @eddelbuettel Thanks! Though, I'm still working on getting external R packages into the image. R_HOME is a fickle taskmaster.

@eddelbuettel Docker: 'First, install Docker, learn containers, write a Dockerfile, understand volumes, manage images...' (or pull a rocker image ...)

AppImage: 'wget, chmod +x, done.'

Sometimes the wheel needed to be more... round? 🎡

😉 :heart_fire:

macOS 26 Tahoe + R 4.5.1: Keeps #rstats moving along on #macOS. Upgrade confidently, just remember to update Xcode CLI afterwards if using stan & compiled code.

@Mehrad @Lluis_Revilla Spent part of the weekend hacking on this:

https://mastodon.social/@coatless/115209718377229086

AppImage is setup right now just for base R (no packages are present).

Try a copy here:

https://github.com/coatless-r-n-d/portable-r-appimage-linux/releases/tag/r-appimage-4.5.1-20250915-173001

Finally, R that travels light and doesn't judge your distro choices: Portable R AppImages!!

Because you need the same base R everywhere: your Ubuntu laptop, friend's Fedora server, or data scientist cousin's Arch setup (btw)

No sudo, no tears, just science ✨

(package support coming soon!)

📁 Repo: https://github.com/coatless-r-n-d/portable-r-appimage-linux/

#RStats #Linux #AppImage #DataScience

@Mehrad @Lluis_Revilla {shinyelectron} is focused on deploying an electron app. This simplifies how we're able to deliver an appimage as it's part of an output target electron-builder makes available under certain assumptions.

My read on the initial ask is you're looking more for a pure portable linux version of R. I've had an issue ticket open on that for awhile on the same repo:

https://github.com/coatless-rpkg/shinyelectron/issues/1

The short gist is to maybe repurpose `appimage-builder`'s py:

https://appimage-builder.readthedocs.io/_/downloads/en/latest/pdf/#page=20

RcppEnsmallen 0.2.22.1.2 on CRAN: Upstream Armadillo Changes

https://blog.thecoatlessprofessor.com/software-releases/r/RcppEnsmallen/rcppensmallen-v0.2.22.1.2-released-rcpparmadillo-updates/

#rstats #rcpp #rcppensmallen #ensmallen

Ubuntu 24.04 dev preview has some AppArmor issues during development (https://github.com/coatless-rpkg/shinyelectron/issues/6) but the built AppImage works perfectly.

Linux support 🐧

Same #rshiny → desktop workflow on #Fedora 42 aarch64:

shinyelectron::export() → #rshinylive → #AppImage → portable #Linux app

Plot twist: no more "go buy yourself a real computer" moments - you get zero R dependencies too! The condescending Unix users have won this round.

#rstats #electron