Guy I’m sponsoring very quietly releases #rstats package I’ve been wanting for the last couple of years. pkg.yihui.org/gglite/doc/g… Guess he shut up and took my money. 🤣🤣🤣

2026/04/19

bookdown

samuel mehr (@mehr.nz; 1/1/0; 2026-04-16): yea probably - although I guess positron -> typora is a much more common action for me (this is for writing a book that is almost exclusively prose) so I don’t need to knit too often

I actually ended up doing it as one really long qmd though rather than the new version of bookdown - simpler tbh ↪

Arthur Albuquerque (@aalbuquerque.bsky.social; 1/1/0; 2026-04-14): Oh, is that version different from the one you had in bookdown? ↪

Riccardo Fusaroli (@fusaroli.eurosky.social; 0/0/0; 2026-04-19): yeah, I recently ported the notes to quarto and that broke all the links to the bookdown. new link: fusaroli.github.io/AdvancedCogn… ↪

Riccardo Fusaroli (@fusaroli.eurosky.social; 0/1/0; 2026-04-16): it did help me bootstrap my bookdown to quarto conversion, but yeah, lots of stuff was wrong and forced me to actually learn some quarto to fix it :-) ↪

knitr

Totoro (@nigelsq.bsky.social; 0/0/0; 2026-04-16): Restart all r sessions and find / clear knitr cache ↪

litedown

troy_phd (@troyhernandez.bsky.social; 2/2/0; 2026-04-15): litedown would be the more natural partner for that job. Trying it now.
pkgdown pulls in 53 non-base recursive hard deps, litedown pulls in 2 (commonmark, xfun). This is the whole point of the tinyverse philosophy.
Thanks for building it @yihui.org!
github.com/yihui/litedown ↪

Yihui Xie (@yihui.org; 1/0/0; 2026-04-16): You are welcome! If AI were this good in 2024, commonmark wouldn’t have been a dep :) I’d certainly choose to torture AI with the C library directly, and litedown would have been 10x faster. Now I no longer have much time for this, unfortunately, but I’m quite happy with this fully handcrafted pkg. ↪

Yihui Xie (@yihui.org; 0/0/0; 2026-04-16): Of course, it has existed since 2024: yihui.org/litedown/#se… See Figure 1 in the documentation to know more about the scope of litedown. ↪

Yihui Xie (@yihui.org; 0/0/0; 2026-04-16): Thanks! It shouldn’t be hard to generalize this idea to all litedown-generated pages, i.e., you can edit R code chunks on HTML pages and run them in browser. That was one of the most important reasons why I went the “lite” way without looking back. ↪

rstats

Miles McBain (@milesmcbain.bsky.social; 99/3/21; 2026-04-10): Guy I’m sponsoring very quietly releases #rstats package I’ve been wanting for the last couple of years.

pkg.yihui.org/gglite/doc/g…

Guess he shut up and took my money. 🤣🤣🤣 ↪

Noah Greifer (@noahgreifer.bsky.social; 66/5/13; 2026-04-09): arg! I wish R packages had better error messages!

Now they can, thanks to my newest #Rstats package, {arg}! 😉

{arg} produces clean, simple, error messages for checking function arguments, similar to {checkmate}, {dreamerr}, and {chk}, using {cli} formatting. ↪

Niki Hubbard 🐙🦀 (@nikihubbard.bsky.social; 51/1/2; 2026-04-11): Low key, earthy colour palette, but when you look close, this species of bubble snail (Haloa) is speckled and spotted and looks like it is full of distant stars ✨

#rstats #dataviz 🦑🐙🧪 #marinelife #invertebrates ↪

Jan Broder Engler (@jbengler.de; 18/0/5; 2026-04-11): This is how you can test selected comparisons in #tidyplots 📋

#rstats #dataviz #phd ↪

Rodrigo Barreiro (@rodrigo404.bsky.social; 18/2/1; 2026-04-10): #30daycharchallenge / day 10 / pop culture

i should’ve sorted it, but it would loss its charm

#rstats #ggplot2 #daraviz ↪

Ben Schneider (@bschneidr.bsky.social; 15/0/2; 2026-04-11): Just learned about the {anvil} #rstats 📦, analogous to Jax. Write R code that gets JIT compiled and has easy autodiff. Seems promising for ML and Bayesian methods.
r-xla.github.io/anvil/ ↪

Ralitza Soultanova (@ralitzas.bsky.social; 15/0/2; 2026-04-11): 81% of adolescents worldwide don’t move enough. Girls: 85%. Boys: 78%.
Every square = 1 child. The gold ones are the minority.
Day 11 of #30DayChartChallenge — Physical.
Built in R · Data: Guthold et al., The Lancet (2019)
#DataViz #RStats #30DayChartChallenge ↪

Mid terms are November 3rd 2026. Go register voters. (@usrbinr.bsky.social; 13/0/1; 2026-04-11): @kylewalker.bsky.social doing incredible things with #rstats ↪

Jon Harmon (he/him/his) (@jonthegeek.com; 12/2/1; 2026-04-11): A closure of research software engineers #RStats ↪

Josiah (@josiah.rs; 12/1/1; 2026-04-10): I guess easter reincarnated {ggvis} as {gglite} #rstats ↪

Jan Broder Engler (@jbengler.de; 11/1/1; 2026-04-10): This is how you can generate lollipop charts in #tidyplots 🍭

#rstats #dataviz #phd ↪

**** (@klauswiese.bsky.social; 10/0/1; 2026-04-11): #Day10 | Distributions – Pop Culture | #30DayChartChallenge | Ballon d’Or — The Last 20 Years (2005-2025), source: France Football. Built with #RStats using #ggplot2, #patchwork, #ggtext and #scales. ↪

John Russell (@drjohnrussell.com; 9/0/2; 2026-04-12): #30DayChartChallenge Day 12 - FlowingData

Inspired by the tutorial on gradient ridgelines (flowingdata.com/2025/01/14/d…), this ridgeline shows the comparative ratings (and skew) of @boardgamegeek.com board games across categories.

Code in #rstats: github.com/drjohnrussel… ↪

Pablo Tiscornia | Estación R (@pablote.bsky.social; 7/0/2; 2026-04-11): 🎯 [TIP de R - RECURSO 📚] ¿Mapas interactivos sin servidores externos?

Con {freestiler} creá archivos PMTiles desde R, ¡súper rápido y sin dependencias!

Ideal para Shiny/Quarto.
Más info: walker-data.com/freestiler/a…
✍🏽 @kylewalker.bsky.social

#RStats #RStatsES #Rtips #DataScience ↪

Geoeconomics (@geoeconomica.bsky.social; 7/0/0; 2026-04-10): Yep, pretty nice.

Plotly-lite, in {ggplot} syntax. #Rstats ↪

Mathieu Genu (@mathieugenu.bsky.social; 7/1/2; 2026-04-11): Day10 #30DayChartChallenge, Today’s figures on cinema admissions from 1980 to 2020 and box office takings

code here : github.com/MathieuGenu/…

#RStats #Dataviz ↪

Steven Ponce (@sponce1.bsky.social; 7/0/2; 2026-04-12): 📊 #30DayChartChallenge 2026 – day 12
.
Distributions | Theme Day — FlowingData
.
🔗 : stevenponce.netlify.app/data_visuali…
.
#rstats | #r4ds | #dataviz | #ggplot2 ↪

Luis (@b3m3bi.bsky.social; 6/0/0; 2026-04-12): #TidyTuesday week 13 #rstats

Ocean Temperature by Depth

code: github.com/b3m3bi/tidyt… ↪

John S. Erickson (@bitwacker.com; 5/0/0; 2026-04-11): WordleR, the #Rstats-powered #Wordle Helper, was “great” today!
Wordle 1,757 5/6
⬛🟨⬛⬛⬛
🟨⬛⬛🟨⬛
🟨🟩🟨⬛⬛
⬛🟩🟩🟩🟩
🟩🟩🟩🟩🟩
bit.ly/WordleR ↪

Big Book of R (@bigbookofr.com; 2/0/1; 2026-04-11): The targets R Package Design Specification by Will Landau
#RStats
https://bigbookofr.com/chapters/packages.html#the-targets-r-package-design-specification ↪

tinytex

Yihui Xie (@yihui.org; 6/0/2; 2026-04-15): In case you aren’t aware, TinyTeX has started offering binaries for ARM and musl-based Linux since last month: yihui.org/en/2026/03/t… Enjoy the extra 5 minutes saved!

BTW, I didn’t know musl/Alpine Linux before. While working on TinyTeX binary for it, I was intrigued and also quite impressed. ↪

Yihui Xie (@yihui.org; 1/0/0; 2026-04-15): Alternatively you can use the shell script to install it (which I’d recommend because the script is always up-to-date and not subject to the R package tinytex): yihui.org/tinytex/#ins… 2/2 ↪

Yihui Xie (@yihui.org; 1/1/2; 2026-04-15): If you install TinyTeX via tinytex::install_tinytex(), please make sure you are using the latest CRAN version of tinytex (>= v0.59): github.com/rstudio/tiny… Older versions will point to an outdated download link and fail the installation. 1/2 ↪

Luna Fazio (@lunafazio.bsky.social; 1/0/0; 2026-04-15): Hah, reading this just as I’m waiting for tinytex to finish installing on my new laptop. As someone who is working from a somewhat unstable internet connection at the moment, every little bit of improvement is very much appreciated! ↪

yihui.org

Yihui Xie (@yihui.org; 18/1/0; 2026-04-14): So sad… I can’t imagine what this meant for his family. It hurts so much when I think of his 1 year old son… I just wrote down a few memories about Tomas in a blog post: yihui.org/en/2026/04/t… ↪

Yihui Xie (@yihui.org; 16/2/3; 2026-04-15): My first experiment with using Rust in an R package: github.com/yihui/tinyimg Blog post: yihui.org/en/2026/03/t… I failed to figure out an ideal universal threshold for the color difference for lossy PNG optimization. If anyone has expertise on this, I’ll truly appreciate your help! ↪