For those of you who run lab groups, consider creating a lab handbook if you don’t already have one. Ideally something all members can contribute to with philosophies, policies, procedures, tips, etc! This could be as simple as a shared google doc or something a little fancier. Need a template to get started? I got you: https://github.com/cct-datascience/group-handbook-template
#quarto
4 posts4 participants1 post today
New Quarto Iconify release! (v3.0.1)
- YAML configuration is now scoped under `extensions.iconify`.
- Quarto shortcode to get the Quarto logo easily: `{{< quarto >}}` (short for `{{< iconify simple-icons:quarto style="color:#74aadb;" >}}`)
Saturday morning hacking on {quarto-assign} that takes
One file → multiple outputs (assignment/solution/rubric)
Coming soon:
Auto-numbering with {#exr-} integration 
Solutions in callouts
This week, I learned how to create and explore a data lake with duckdb, using its new ducklake extension. It was surprisingly easy to hand over the creation and management of parquet files with larg(ish) tables to ducklake. I loved being able to explore the data using R, python or plain SQL - even within the same Quarto document! https://tomsing1.github.io/blog/posts/ducklake/ #RStats #python #duckdb #ducklake #quarto
tomsing1.github.ioDipping my toes into the ducklake: Exploring gene expression data with R and python – Thomas Sandmann’s blog
Scattered links 
driving you crazy in a post?
The linkate Quarto extension automatically collects every URL and creates a tidy "Links" section at the bottom. Just add one line to your YAML!
Docs: https://quarto.thecoatlessprofessor.com/linkate/
Repo: https://github.com/coatless-quarto/linkate
Continued thread
Bernard Angele is back at the lectern #WoReLa1 with their own talk this time on "Low sampling rate is not an obstacle to making reading research more accessible". The #Quarto slides* are available here https://bangele.quarto.pub/worela2025/#/title-slide and they include rather hilarious distorted maps of the world illustrating the geographical distribution of #eyetracking studies on reading. Less hilariously, it turns out that, up until recently, the vast majority of eyetracking studies were carried out in the US and West Europe on major European languages. Now studies on Chinese in China are changing the picture, but still eyetracking reading studies are still limited to very few languages.
* Also, it turns out that using #QuartoPub to host Quarto slides is not only useful to share slides with the audience and on social media, but also to easily switch computer when the presenter's laptop can no longer connect with the temperamental projector.
bangele.quarto.pubLow sampling rate is not an obstacle to making reading research more accessible
Some work on my solar-powered #quarto website project - now with a small data transmission tracker 
.
The "No JavaScript" is not true anymore though, but the widget is quite lightweight, as far as I can tell.
(gotta say an LLM was heavily involved in creating this one, given my extremely limited javascript skills).
Third time lucky! The forecasts from my predictive system indicate another 
CUT. The predictive intervals do not contain the current cash rate value. 
They include a 25bp cut, though. The forecast mean suggests a 15bp decrease. 
My system predicted correctly last 12 decisions. Will 13 become my lucky number? 
These forecasts are available at: https://forecasting-cash-rate.github.io/
Here is a #quarto #rstats trick that could be useful and I just figured out! If you want to parametrise the creation of pages within a website, instead of using a purrr loop with quarto_render on a .qmd temlpate, use a purrr loop with writeLines to create your .qmd files in a script loaded before rendering with the pre-render yml option!
A blog post is coming soon but you can already have a look at my repository for example: https://github.com/damien-dupre/cere2025
GitHubGitHub - damien-dupre/cere2025Contribute to damien-dupre/cere2025 development by creating an account on GitHub.
At least my #rstats and #quarto error messages are educational, now that I setup the list of common misconceptions in my .Rprofile: https://github.com/Kudusch/common_misconceptions
I think I need to apologise to my supervisor.
They said, on a recent report we were sent, "It doesn't even have captions on the figures or the tables." I replied, "it is clearly done in RMarkdown or Quarto and no one knows how to do captions on those."
Of course this bugged me so I first looked up how to do them on ggplot2. Oh, you just add it in the labs. That seems amazingly simple. I mean yes they were lattice plots, but there must be a similar flag.
A few hours later, not happy with the answer, I looked up how to get cross referenced figure captions in a code block in Quarto. Turns out it is
```
#| label: fig-name
#| fig-cap: "Your caption here"
```
in the code block. The same is true of tables (you just replace fig with tbl). It even puts the caption at the top for tables. Geez, that is amazingly simple again. (All of this learnt from https://quarto.org/docs/authoring/figures.html ) Again, yes this is Quarto and they probably are using RMarkdown but it has to be fairly similar.
So, I now agree that there should be captions on those figures. Yes, its an internal document and no doubt automated but still that is no worse than LaTeX or HTML.
It does mean that now I have to actually caption my figures and tables next time too.
QuartoFigures – Quarto
I just leveled up my #TidyTuesday game with a live gallery (no new viz though, oops)
Accessible here: gnoblet.github.io/TidyTuesday/
#Quarto website
#Python + 
#Rstats dual-language support with `uv` and `renv`
GitHub Actions auto-deploys to GitHub Pages
Template for new #DataViz
{quarto-webr} v0.4.3 "Bumpity Bump" is now available - a maintenance release that bumps to R 4.5.1 by default (via webR 0.5.2).
#quarto #rstats friends who use github action to publish articles:
it's currently taking github actions ~30 mins to publish my little #mgcv help site (https://calgary.converged.yt/). This seems to be because it's installing a lot of R packages from source.
What's the current state-of-the-art to get these things to render quickly? (And using minimal power.)
(I'd like to not use github but I would also like to encourage PRs etc from folks without a huge overhead from them, so let's stick to github-based solutions for now.)
calgary.converged.ytYes! You can do that in mgcv – Yes! You can do that in mgcv!
Replied in thread
Is it hard to keep up with all the awesome extensions and tools for quarto? Check here for an extensive list of resources: https://github.com/mcanouil/awesome-quarto #quarto #rstats
Struggling with $ signs breaking your Typst templates in Quarto? 
Standard escaping doesn't work, but hex escape sequences do: \u{24}
Wrote up a quick note with Typst's ASCII table tool for finding any character's hex code.
Quarto Manuscript makes me almost want to write scientific articles again. This could potentially change the process quite a lot. But maybe there is also a good use for it in internal project reports. https://quarto.org/docs/manuscripts/ #quarto #reproduciblescience #shareyourcode
QuartoQuarto Manuscripts – Quarto