Data QuineIntroducing Toolbars: Supercharge your Cards and Inputs :: Posit Open Source
https://opensource.posit.co/blog/2026-05-26_introducing-toolbars/
DSLC VideosFrom the @DSLC 
chives:
R Packages: How do I convert a script to a package? https://youtu.be/yRzRiXiqPag #RStats
JS4R: Overview https://youtu.be/GFQbrzLI3BA #RStats #JavaScript
ISLR: Classification Part 1 https://youtu.be/w-2uGV_JfHA #RStats
Mastering Shiny: Reactive building blocks https://youtu.be/I4Hc5rewAvs #PyData #PyShiny #RShiny #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
R Packages Book Club: How do I convert a script to a package? (2021-04-03) (rpkgs02)
Recent @DSLC club meetings:
The Art of Data Visualization with ggplot2: The TidyTuesday Cookbook: Doctors across the world: making maps with ggplot2 https://youtu.be/rBTQuK-yQg0 #RStats #DataViz #ggplot2 #TidyTuesday
From the @DSLC chives:
Mastering Shiny: Layout, themes, HTML https://youtu.be/H7fjO6f-8xs #PyData #PyShiny #RShiny #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
The TidyTuesday Cookbook: Doctors across the world: making maps with ggplot2 (ttcookbook01 11)
From the @DSLC chives:
Introduction to Probability: Introduction https://youtu.be/0lzp6vZHTzA #RStats
Explanatory Model Analysis: Local Interpretable Model-agnostic Explanations (LIME) https://youtu.be/huz9bVCMtrE #RStats
Advanced R: Measuring Performance https://youtu.be/_zeLDufwTwY #RStats
DSLC Shiny Club:25-02-14 https://youtu.be/O7hYqjLYwa8 #PyShiny #RShiny #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
Introduction to Probability: Introduction (probintro01 1)
DataScienceLearningCommunityWant to learn about #RShiny? We're launching a new cohort to read Outstanding User Interfaces with Shiny by David Granjon https://unleash-shiny.rinterface.com/index.html
Join our Slack at https://DSLC.io to participate! #RStats
Join our Slack at https://DSLC.io to participate! #RStats
Recent @DSLC club meetings:
R for Data Science: Introduction https://youtu.be/wbU2Lb9nry4 #RStats #R4DS
From the @DSLC chives:
DSLC Shiny Club:25-02-07 https://youtu.be/EeYsaBg3gO0 #PyShiny #RShiny #RStats
Advanced R: Introduction https://youtu.be/dH72riiXrVI #RStats
Introduction to Probability: Introduction https://youtu.be/0lzp6vZHTzA #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
R for Data Science: Introduction (r4ds12 0)
shikokuchuoAsync R is getting a proper memory model. mirai 2.7.0 and mori 0.2.0 are on CRAN, and between them they close the two memory gaps in production async work:
- `daemons(memory = ...)` caps the dispatcher queue in bytes, so a runaway producer can't OOM your session
- `try_mirai()` returns NULL on a full queue instead of blocking – drop, retry, or propagate backpressure
- mori out of experimental with stable wire format and path-form names
https://opensource.posit.co/blog/2026-05-12_production-async-r/
From the @DSLC chives:
Regression and Other Stories: Basic Methods in Math & Prob https://youtu.be/PvL6GZOJ4OY #RStats
Mastering Shiny: Your first Shiny app https://youtu.be/0X5SVMMrJHk #RStats #PyData #RShiny #PyShiny
tidyverse docs: modify_depth, tree, predicate functionals https://youtu.be/RaAQZ2qYK30 #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
Regression and Other Stories Book Club: Chapter 3: Basic Methods in Math & Prob (2021-06-01) (ros01)
Recent @DSLC club meetings:
The Art of Data Visualization with ggplot2: The #TidyTuesday Cookbook: Lemurs: manipulating images in R https://youtu.be/J7Yez2NC0NY #RStats #DataViz #ggplot2
From the @DSLC chives:
Advanced R: Subsetting https://youtu.be/qtUgKhw39Yo #RStats
Outstanding User Interfaces with Shiny: Web application concepts https://youtu.be/dB1zRW9r_Bw #rshiny #RStats
Support the Data Science Learning Community at https://patreon.com/DSLC
The #TidyTuesday Cookbook: Lemurs: manipulating images in R (ttcookbook01 9)
Leibniz-Institut für Psychologie (ZPID)💥 Good news from our #RShiny app #PsychTopics 💥
See the details, our dear colleague @[email protected] noticed here:
RE: https://bsky.app/profile/did:plc:z6vzstjlx4z3csmzz4ydux7m/post/3mkaqwttjmk2u
RE: https://bsky.app/profile/did:plc:z6vzstjlx4z3csmzz4ydux7m/post/3mkaqwttjmk2u