I completely re-worked my course “Introduction to Bayesian statistics with brms” and taught it for the 1st time this week. It is meant as a tutorial for ecologists, but should be general enough for other sciences as well github.com/benjamin-ros… #stats #Rstats #brms #Stan #Bayesian

2025/03/09

blogdown

Big Book of R (@bigbookofr.com; 2/0/1; 2025-03-02): blogdown Creating Websites with R Markdown by Yihui Xie, Amber Thomas and Alison Presmanes Hill
#RStats
https://bigbookofr.com/chapters/blogdown.html#blogdown-creating-websites-with-r-markdown ↪

bookdown

Christoph Molnar (@christophmolnar.bsky.social; 16/2/1; 2025-03-07): Only waiting for the print proof, but if it looks good, I’ll publish the third edition of Interpretable Machine Learning next week.

As always, it was more work than anticipated—especially moving the entire book project from Bookdown to Quarto, which took a bit of effort. ↪

Big Book of R (@bigbookofr.com; 0/0/0; 2025-03-08): Bookdown archive

https://bigbookofr.com/chapters/other%20compendiums.html#bookdown-archive
#RStats ↪

knitr

Yihui Xie (@yihui.org; 7/1/2; 2025-03-05): If this is only intended for the profiling purpose, I think the litedown solution is much simpler than the knitr hook:

  1. litedown::reactor(time = TRUE); litedown::roam() # navigate to vignettes/
  2. Add

```{r}
litedown::timing_data()
```

to the end of each Rmd file, and preview them. ↪

EconMaett (@econmaett.bsky.social; 4/3/0; 2025-03-03): Quarto either runs on the knitr engine and uses reticulate under the hood or it runs on the jupyter engine with rpy2. It’s nice when you want to showcase how do do something with either one of the two languages in say a blog post. ↪

Christoph Scheuch (@christophscheuch.bsky.social; 2/1/0; 2025-03-03): Afaik if there are multiple languages in the same quarto doc, then knitr does all the work by invoking reticulate (Python) or JuliaCall (Julia) and collecting results afterwards. The reason is that there can only be one engine per document. ↪

Harald Kliems (@haraldkliems.fosstodon.org.ap.brid.gy; 1/1/2; 2025-03-06): #knitr #RStats #RMarkdown question: I have an RMD document that knits together a bunch of child documents (knitr::knit_child) that all contain the same 2 images. The images get embedded into the html file, resulting in a huge file size. I could use self_contained: false but then I have to […] ↪

Miles McBain (@milesmcbain.bsky.social; 1/1/0; 2025-03-05): Hi Nick! Not done this, but my first thought on making something from scratch would be to log time stamps using knitr chunk hooks. ↪

litedown

Nick Tierney (@njtierney.bsky.social; 3/0/0; 2025-03-05): I’ve found this approach in rmarkdown: bookdown.org/yihui/rmarkd… - which seems like it will work - there’s also this one within litedown (yihui.org/litedown/#se…).

I think what I’d like overall is some kind of summary output of each document and timings for a given rmarkdown doc. ↪

rstats

Benjamin Rosenbaum (@benrosenbaum.bsky.social; 281/13/76; 2025-02-28): I completely re-worked my course “Introduction to Bayesian statistics with brms” and taught it for the 1st time this week. It is meant as a tutorial for ecologists, but should be general enough for other sciences as well
github.com/benjamin-ros…
#stats #Rstats #brms #Stan #Bayesian ↪

Peter Dalgaard (@pdalgd.bsky.social; 88/0/30; 2025-02-28): R version 4.4.3 “Trophy Case” (source version) has been released. (You can find it in cran.r-project.org/src/base/R-4/, or wait for CRAN to be updated.)

This coincides with as-close-as-we-can-get-to 25 years since the release of R 1.0.0.
#rstats ↪

Giles (@gdeejay.bsky.social; 28/3/3; 2025-03-02): I’m really enjoying being able to play around with #LLM models in #Rstats using the ellmer package.

I work a lot with qualitative data and this has really changed the game in how I can leverage it. ↪

Heiner Salomon (@heinersalomon.bsky.social; 27/0/5; 2025-03-01): Oh wow, this is amazing!!! This nifty feature automatically formats your R-code based on the #tidyverse styling guide (mostly).

Honestly, getting into #RStats from Stata at first was a bit cumbersome, but there is just more exciting and very cool development at the edges with R. ↪

**** (@randvegan.bsky.social; 24/5/4; 2025-03-01): I’m amazed how simple #rstats stuff can completely amaze others

I was teaching python users R today and I was shocked that they were impressed the most with lm() and that you can do linear regression in 1-2 lines of code

We couldn’t get beyond that in the training. Such an interesting experience. ↪

Chris Adams (@chrisadamsecon.bsky.social; 17/0/5; 2025-03-01): Nice review in the @royalstatsoc.bsky.social Series A Statistics in Society: academic.oup.com/jrsssa/artic… #rstats #econsky ↪

Sharon Machlis (@smachlis.bsky.social; 17/2/12; 2025-03-01): Today is a great day to sign up for a Workshop for #Ukraine! I just registered for “Hitting web APIs with {httr2} in R” with @tladeras.bsky.social #RStats
sites.google.com/view/dariia-…
And to get access to “Customizing slides and documents using Quarto extensions” with @nrennie.bsky.social ↪

Thùy Vy T Nguyễn (@thuyvytnguyen.bsky.social; 15/1/13; 2025-03-01): If you are keen to learn #Rstats and other coding techniques, here are some workshops and resources offered by a group of European academics in exchange for donations to #Ukraine.

See below for workshop contents and how to #DonateToUkraine
sites.google.com/view/dariia-… ↪

Kyle Walker (@kylewalker.bsky.social; 15/1/2; 2025-02-28): Yesterday, I wrapped up the 2025 Census data webinar series with @UMSSDAN.

One of my favorite examples from the third webinar: an overview of how to map data for all 85,000+ US Census tracts using #rstats, tidycensus, and @maplibre by way of mapgl. ↪

**** (@randvegan.bsky.social; 14/2/3; 2025-03-01): honestly – learning #shiny feels like superpower. For what you can do so quickly, it just blows my mind every time when compared to traditional web application frameworks

I feel so lucky to be learning and using #rstats. ↪

Juan Galeano (@juangaleano.bsky.social; 13/0/4; 2025-03-02): A sneak peek of the Global Living Arrangements Database (GLAD) I’m working on these days. At the rate at which the US is deteriorating, maybe this is the last data we see from this country.

#demography #rstats #data #population #US ↪

Sharon Machlis (@smachlis.bsky.social; 13/0/2; 2025-02-28): Trying out Shinylive for #RStats has been on my to-do list for quite awhile. Looking forward to watching this! ⬇️⬇️⬇️ ↪

Benjamin Rosenbaum (@benrosenbaum.bsky.social; 11/2/1; 2025-03-01): Happy that some people seem to find my #rstats course materials helpful! Will add a dataset with feeding trials of my cats. Fit nonlinear functional response models and test hypotheses about their feeding rates and intraspecific competition
#caturday ↪

Jorge (@jxmartinez.bsky.social; 10/1/1; 2025-03-01): I am introducing the magic of #rstats to my new team this spring and I hope to get some similar enthusiasm. 💫 ↪

Noam Ross (@noamross.net; 10/0/1; 2025-03-01): Along with this, I also just noticed that the @posit.co team started distributing an arm64 Linux version of Positron in Jan! 🎉 github.com/posit-dev/po… #rstats ↪

Ken Koon Wong (@kenkoonwong.bsky.social; 9/4/5; 2025-03-02): What’s your go-to survival analysis book recommendation? #rstats #statsky #python ↪

Jan Broder Engler (@jbengler.de; 8/0/1; 2025-03-01): Learn more about the story behind #tidyplots 🤩

www.youtube.com/watch?v=o0kl…

#rstats #dataviz #phd ↪

EconMaett (@econmaett.bsky.social; 7/0/3; 2025-03-01): Today is a good day to sign up to this online workshop! 💙💛
#rstats #econsky ↪

R-Ladies Bot (@rladies-bot.bsky.social; 7/0/2; 2025-03-02): 📝 “We don’t talk about Quarto”

👤 Alison Hill

📖 Discover Quarto: a powerful tool for literate programming, now ready! Create stunning docs in diverse formats.

🔗 https://www.apreshill.com/blog/2022-04-we-dont-talk-about-quarto/

#rladies #rstats #oldiebutgoodie ↪

Geoeconomics (@geoeconomica.bsky.social; 5/0/1; 2025-03-01): Hear hear #rstats ↪

yihui.org

**** (@olivroy.bsky.social; 0/1/0; 2025-03-06): I remember @yihui.org being the one who requested that feature, but can’t find the post ↪