Quarto + #RStats + Observable = 
New blog post from me about:
What is Observable?
Why should R users care?
How do you use both together to make interactive charts?
It's important to emphasize that "realistic-looking" data does *not* mean "realistic" data – especially high-dimensional data (unfortunately that post doesn't warn against this).
If one had an algorithm that generated realistic data for a given inference problem, it would mean that that inference problem had been solved. So: for educational purposes, why not. But for validation-like purposes, use with uttermost caution and at your own peril.
I've finished an audiobook version of my #statistics textbook for biological and environmental sciences with #jamovi -- all free and available on my website and Spotify (https://bradduthie.github.io/audiobook.html). I initially underestimated how much my own students would want this, so my hope is that others my benefit from it. Please feel free to contact me if you're teaching an introductory statistics class and are looking for resources! #rstats #stats https://bradduthie.github.io/blog/statistics-audiobook-with-jamovi/
rOpenSci Coworking and Office Hours coming up in an hour!
Today's Theme: R you joking? Silly R packages for April Fools' day with cohost @steffilazerte
Tuesday April 1st 09:00 Americas Pacific (16:00 UTC)
Need realistic data for your project? Generate custom datasets using LLMs directly in #RStats with the Ellmer package!
Sara Altman's post walks through starting a chat, specifying a prompt, tool calling, and adding functionality to a Shiny app.
Read it here: https://posit.co/blog/generate-data-with-an-llm-and-ellmer/
New post: 'Positron: current joys and pains'
Positron's pros & cons. From improved workflow transparency, to growing debugging pains.
https://drmowinckels.io/blog/2025/positron-debugging
#rstats #Positron #Data Science #IDE #Debugging
We collected the #SocialMedia data from #Twitter from 2021 until 2023 and used #Rstats and #Python to perform analyses.
We used #IssueAttentionCycle framework with #qualitative and #quantitative approaches to examine how public discussions changed throughout the study period.
The {purrr} package is a powerfull way to replace loops. The {furrr} package takes this approach one step further by parallel execution: https://furrr.futureverse.org/index.html #rstats #parallel
It's Day 1 of the #30DayChartChallenge, and the prompt is "Fractions"
Data from Our World in Data on wealth distribution
Data wrangling in #RStats
Waffle plot made with Observable
Three R gems this week:
• 40 new CRAN packages in February
• File management with {fs} package
• Converting large CSVs to Parquet
#rstats: Has anyone ever tried to implement hyperreal infinitesimals in R vectors (e.g., with the vctrs package)?
Desarrollamos un programa de 12 meses, que incluye formación en cohortes, desarrollo de proyectos y tutoría personal.
Tras la formación, Campeon(e|a)s desarrollarán su proyecto:
* crear un nuevo paquete
* revisar su propio paquete, o
* ser revisor/a
new #rstats cowsay version
- moved animals from a single R file to separate .cow files
- new “animals”: dragon, beavis, blowfish
- change top of bubble to ”_” from ”-” to match original
- fix endless_horse(): bubble & tail accidentally removed in prev ver
- release notes: https://github.com/sckott/cowsay/releases/tag/v1.2.0
- docs: https://sckott.github.io/cowsay/
Lito P. Cruz, organizer of the Melbourne Users of R Network (MELBURN), speaks about the evolving R community in Melbourne, Australia, and the group’s efforts to engage data professionals across government, academia, and industry.
Find out more!
Apply now! Help build the R ecosystem!
The R Consortium's technical grant program - The 2025 ISC Grant Program - closes its first round in 2025 end of day tomorrow, Tues, April 1, 2025, at midnight Eastern Time in the US. There's still time!
Strengthen and improve the infrastructure supporting the R ecosystem!
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