#rstats

How do you do <some thing> in Quarto?
This app lets you ask natural language questions about Quarto tips I've rounded up over the years. Note it's not the complete Quarto docs! Just things I've thought were interesting or cool or I've looked up repeatedly
App: https://apps.machlis.com/shiny/quartotips/
Code: https://github.com/smach/QuartoTips
Built in R Shiny with the {shinychat}, {ragnar} & {ellmer} #RStats s

#QuartoPub #RShiny #WeekendProject

Exciting News! The 2025 Cascadia R Conference agenda and workshops are now LIVE!

Join us June 20-21 in Portland, Oregon

This regional conference brings together #rstats enthusiasts from across the Pacific Northwest

Register today: https://cascadiarconf.com

#RStats #DataScience #Statistics #OpenSource #Portland #Oregon #PDX #Programming #rstats

@Posit is working on “a complete rewrite” of the {plumber} #RStats “to take everything we’ve learned from plumber, shed the bad decision that you inevitably make over the course of development, and start from scratch.”
They're looking for feedback during development:
https://posit-dev.github.io/plumber2/

Really looking forward to the upcoming workshop!
Together we’ll be discovering some exciting space ahead in datavisualization *mysterious teaser*

There’s still time to register!

#DataViz #Rstats #ggplot2 https://mastodon.social/@3xfactorial/114279473212804883

Introducing chores, a package that uses LLMs to help with repetitive, hard-to-automate coding tasks!

Manage prompts as markdown, select a chore, and let LLMs handle your tedious #RStats work.

@simonpcouch introduces chores and shows how it cuts roxygen2 boilerplate: https://posit.co/blog/introducing-chores/

We're proposing a new section "Machine Learning of Spatial Data" for the #rstats CRAN Task View: Analysis of Spatial Data.

https://github.com/cran-task-views/Spatial/pull/89

Feedback is welcome -- are we missing key packages or ideas?

Feel free to reply or DM.

#spatial #MachineLearning #gischat

Der Mikrozensus 2022 ist als Scientific Use File verfügbar – inkl. Daten zu Wohnen, Kindern, Kompetenzen, EU-SILC & Info- & Kommunikationstechnologien. Jetzt auch als R-Datensatz + R-Syntaxen via GESIS MISSY:
https://www.gesis.org/missy/metadata/MZ/2022/

#Mikrozensus #Forschung #OpenData #RStats

[Blog post] Supporting rOpenSci Mentors with Practical Tools by @yabellini

Mentoring is at the heart of what makes rOpenSci a community. We have developed a set of resources to support mentors in the Champions Program. In this post, we’ll walk you through what we’ve created and show how these resources can support your mentoring as well.

https://ropensci.org/blog/2025/04/08/mentoring-tools/

#CommunityManagemet #OpenScience #OpenData #OpenSource #RStats

This week I've been testing Positron, the new general purpose but data science-oriented integrated development environment (IDE) from Posit, formerly RStudio. Now in Beta, huge progress over the last few months, ready to go as a multi-language daily driver, I would endorse this for people starting out as it has more 'batteries included' than VS Code, and more features (and extensions) than RStudio (which is still recommended for stability for many #rstats users): https://positron.posit.co/download.html

Working in a regulated environment?

Demonstrating that your go-to #rstats packages are fit for purpose can be challenging, especially when transparency and auditability are key.

That’s where the Litmus Dashboard comes in. Designed to support validation workflows, Litmus makes it easy to monitor and document package status in one place.
Clear.
Lightweight.
Built with compliance in mind.

https://www.jumpingrivers.com/blog/litmus-dashboard/

"Graphic Design with #ggplot2": All material from this 2 day workshop can be found at https://rstudio-conf-2022.github.io/ggplot2-graphic-design/ #rstats #design

It's Day 8 of the #30DayChartChallenge, and the prompt is "Histogram"

Another #RStats + Observable combination
Kept it simple, but figured out more about small multiples (facets), sorting categories, and colour palettes in Observable today!

#Day8 #DataViz #Observable

Wake up babe, new {plumber} just dropped: https://github.com/posit-dev/plumber2

#RStats

base R is a collection of 14 packages.

Core (1): the foundational {base} package
Default (6): auto-attached on startup, which you can control with the env var R_DEFAULT_PACKAGES.
Other (7): available but not auto-loaded
#rstats
https://eyayaw.github.io/posts/base-r.html

2025 #30DayChartChallenge | day 08 | distributions | histograms
.
: https://stevenponce.netlify.app/data_visualizations/30DayChartChallenge/2025/30dcc_2025_08.html
.
#rstats | #r4ds | #dataviz | #ggplot2

Apply to participate in the free satellite R Dev Day @ #RSECon25 to collaborate on contributions to #RStats.

Warwick University, UK
Fri 12 Sep 2025

Travel funding is available for participants from the UK, Europe & Global South

Deadline Wed 23 Apr: rsecon25.society-rse.org/r-dev-day-rsecon25

#rse #rsecon25 #RStats

unmedicated anxiety, a portrait in #rstats

This week in #rstats:
- Learning tidyverse with AI tools
- Visualizing R package risk assessments with Litmus
- Upcoming post-Bayes workshop at UCL (May 15-16)
#datascience

https://blaze.email/Data-Scientist-(with-R)

Today's artwork generated with #rstats and #ggplot2:

Confused by R's loop syntax? Transform your understanding with clear examples and best practices for writing beautiful, maintainable repeat loops! Read more: www.spsanderson.com/steveondata/... #R #RStats #Programming #OpenData #RStats #Blog