Refugee labor market integration at scale: Evidence from Germany’s fast-track employment program | PNAS Governments face persistent challenges in integrating refugees into the local labor market, and many past interventions have shown limited impact. ...

🚨New Paper in PNAS: "Refugee Labor Market Integration at Scale: Evidence from Germany’s Fast-Track Employment Program"

www.pnas.org/doi/10.1073/... Ungated preprint osf.io/preprints/socarxiv/px9ew_v3

w/ J Hainmueller, D Hangartner, @niklas-harder.bsky.social & E Vallizadeh

#econtwitter #econsky

BASE R GIRLIES OUR TIME HAS COME

Come hang with us, ask Ella questions (I know Isabella and I will), and learn something new. Don't think you use base R? You use it pretty much each and every time you use R! #baseRgirly

Also, we're a delight ✨

Paul Rougieux / FAOSTATpackage · GitLab An R package to download data from FAOSTAT, the database of the Food and Agriculture Organization of the United Nations

There's a FAOSTAT package, and you can raise an issue to flag the update in the FAOSTAT API. I suspect that the author might update the package soon. gitlab.com/paulrougieux...

Hello 👋🏻

I'm a Principal Research Software Engineer in Advanced Research Computing at the University of Birmingham, UK.

I lead the international project “Enabling the next generation of contributors to R” and manage research software development projects at UoB.

* R Core member
* Chair of R […]

Great news! Congrats @heathrturnr.fosstodon.org.ap.brid.gy

We are pleased to announce that Heather Turner @heathrturnr.fosstodon.org.ap.brid.gy has joined the R Core Team. She has been an active contributor notably via the R Dev Days, and has greatly improved cooperation between R Core and the R community in more ways #RStats.

A promotional graphic for the useR! 2026 Conference in Warsaw. The image is split into a left-hand artistic section and a right-hand text section against a black background. The left side features a 2x2 grid of colored squares: Top-left: A black square centered on a light blue background. Top-right: A black fractal-like square pattern on a yellow background. Bottom-left: A complex black grid pattern on an orange background. Bottom-right: A dense black dot and square pattern on a purple background. The right side contains the following text: USER! 2026 CONFERENCE WARSAW in white. A list of submission categories in bold colors: Talks (blue), Tutorials (yellow), Posters (red), Lightning Talks (orange), and Panel Discussions (teal). At the bottom-left, white text announces: "CFP Deadline Extension: Saturday 14th March 2026".

📢 CFP Deadline Extended: useR! 2026 Warsaw!

📅 New Deadline: Saturday, 14th March 2026

🚀 Submit projects on #rstats, ML, or data viz for the global #Rstats community stage in Poland.

Standard/Lightning Talks, Posters, Tutorials & Panels wanted!

CFP Link: user2026.r-project.org/call/

Have you used the CAST R package?

We’re running a short survey on use cases, challenges, and feature needs.
Your input will guide CAST priorities during developer days in Mar 2026.

🔗 uni-muenster.sciebo.de/apps/forms/2...

#RStats #RSpatial #OpenSource

Really excited about this new release of {survey}. I can't wait to test the multiphase support (vs twophase only in older versions). #rstats

GitHub - dickoa/samplyr: A Tidy Grammar for Survey Sampling A Tidy Grammar for Survey Sampling. Contribute to dickoa/samplyr development by creating an account on GitHub.

Thanks a lot, Ben! Let me drop the link to the GitHub repository (mirror) for issues.
github.com/dickoa/samplyr

Ahmadou Dicko / samplyr · GitLab A Tidy Grammar for Survey Sampling https://dickoa.gitlab.io/samplyr

samplyr is still alpha but feedback is very welcome and thanks to @statsteph.bsky.social and @tslumley.bsky.social for their early comments on this package
gitlab.com/dickoa/samplyr

I love R for everything statistics, but I've always been a little jealous of statisticians using SPSS Complex Samples or SAS SURVEYSELECT to design their samples.

So I decided to build samplyr, a tidy and pipe-friendly grammar for survey sampling design in #rstats.

dickoa.gitlab.io/samplyr/inde...

Problem in multilevel (hierarchical) multinomial logistic regression (with brms) I have posted a teaser of the issue at my blog, copied below. The data The predicted variable is a categorical response, named resp with levels ‘1’, ‘2’, ‘3’, and ‘4’ (nominal labels, not numerical...

#rstats bat signal:

If any of y'all have experience with multilevel multinomial logistic regression, with {brms}, Kruschke and I could use your help. This is your chance to influence the upcomming textbook. discourse.mc-stan.org/t/problem-in...

Bump chart faceted by world regions showing the top countries of origin of refugees, asylum-seekers, and others in need of international protection. Asia and Africa rank consistently high, driven by long-term crises such as Afghanistan and Sudan. The Americas and Europe also appear high due to more recent crises in Venezuela and Ukraine.

Inspired by @nrennie.bsky.social excellent #TidyTuesday plot on the power of passports, I adapted the idea to look at refugee origins.

This chart ranks countries of origin of refugees, asylum-seekers, and others in need of international protection, grouped by region.

#RStats #ggplot2 #Refugees

So excited for this! As well as ‘C for R users’ I’ll be talking about contributing to base R more generally, and doing a live demo of the R Dev Container. #RStats

Protecting the most vulnerable in South Sudan Assessing a Complex Crisis through Protection Risks Analysis

Just published: our new data story on efforts to protect South Sudan’s most vulnerable — including children, women, and persons with disabilities.

Explore how protection monitoring and partnerships are making a difference: dataviz.unhcr.org/product-gall...

#refugees #unhcr #protection

update.packages(checkBuilt = FALSE, ask = FALSE) or you just update those you use (e.g directly before using them)

rspatialdata: a collection of data sources and tutorials on downloading and visualizing spatial data with #rstats 💻🗺️📊

👉 rspatialdata.github.io

Welcome to Mapping with R

Maps aren't just eye candy—they uncover patterns unseen in other data viz.

Our upcoming Mapping with R course offers practical insights into static, interactive & complex maps, all using R.

Coming soon! 🧭 Follow us or sign up for updates to stay informed.

buff.ly/B0dtY66

#rstats

I usually use {scatterplot3d} to make them, you check the doc and some examples here
cran.r-project.org/web/packages...

If one wanted to hire a professional #rstats #rshiny developer to work work with qualitative/text data in particular (so many involve a dashboard for search/semantic/sentiment analyses), do you have any recommendations of individuals or companies? (please repost)

📢 Postdoc position in the GeoHealth group at KAUST

Spatio-temporal models for disease mapping, forecasting & early detection of outbreaks 🌍📊💻

PhD #statistics, #maths, #epidemiology. Experience in spatial stats/machine learning & #rstats

👉 www.paulamoraga.com/opportunitie...

Emacs | F-Droid - Free and Open Source Android App Repository The extensible self-documenting text editor

Nice! I wonder if we can use it with ESS on Android
f-droid.org/en/packages/...

I wrote a thing about coupling streams of random numbers: "the same" number with different parameters
notstatschat.rbind.io/2025/03/04/c...

Survival Analysis

More on the applied side, the book by Klein and Moeschberger is well written and simple to follow.
link.springer.com/book/10.1007...

Scatter plot of bill depth vs. length by species (color) and sex (symbol). It shows positive correlations for all species with males tending to have bigger bills than females. sym <- c(1, 16) pal <- c("darkorange","purple","cyan4") plot(bill_dep ~ bill_len, data = penguins, pch = sym[sex], col = pal[species])

🚨 The "penguins" data is coming to the base #rstats{datasets} in 4.5.0!

@ellakaye.co.uk & @HeathrTurnr.fosstodon.org.ap.brid.gy r prepared an adapted and a raw version of the data set based on the {palmerpenguins} 📦 by @allisonhorst.bsky.social @apreshill.com and Kristen Gorman.

📈 Scatter plot:

You're right, I just tried and it works! Un grand merci encore.

It looks great and probably fast too! I just hope that it'll be easier to use it with Emacs ESS. Congrats!

- Handles remote packages with remote deps much better!
- IDEs are now handled more consistently and are better documented
(there's a new vignette "Using an IDE with Nix shells)
- Many bugfixes and overall improvements!

Quick 5 minute video to know what's this about
youtube.com/watch?v=OOu6...

Thanks for all your work on bringing Nix to the #rstats world for reproducibility. I'll give it a try for my next analysis!