#rshiny

DSLC Project Club: Forecasting Energy Demand Using R (proj01) YouTube video by Data Science Learning Community Videos

From the DSLC.io aRchives:

🔵 DSLC Project Club: Forecasting Energy Demand Using R youtu.be/LXw62uoEf3M

Support the Data Science Learning Community at patreon.com/DSLC

#dataBS #RShiny #dataScience #RStats #shiny

#rstats #rshiny #datascience #rstats #shinyapp #rpackagedevelopment #softwaretesting | Barret Schloerke shinytest2 0.5.0 is Now Available on CRAN I'm excited to announce the release of shinytest2 0.5.0, bringing significant improvements to the R package testing experience for Shiny applications! 🚀 Key Features: Local Package Development Support One of the most requested features is here! `AppDriver$new(app_dir=)` now supports local package development. As long as you have `library()` or `require()` call in your `app.R`, `{shinytest2}` automatically executes `pkgload::load_all()` to load your local R package's source code. This means you no longer need to install your package before testing—a huge time-saver during development! Function Execution Support You can now pass functions directly to `AppDriver$new(app_dir=)`. This provides flexibility for testing apps with dynamic configurations or custom execution environments, such as Shiny packages made using `{golem}`! The function runs in a background R process, similar to `{mirai}`, with full control over the testing environment. Enhanced Package Testing Workflow This release introduces `local_app_support()` and `with_app_support()`, providing package authors with a flexible way to scope app support files within tests. Package authors can now test Shiny applications directly within their package's existing`{testthat}` tests removing the need for calling `test_app()`. This will collect all snapshots in a single location using the package's existing testing infrastructure. Improved Test Recording `record_test()` gained a `record_in_package` parameter that intelligently saves test files to the appropriate location—either in the package's `tests/testthat/` directory or relative to the app's test directory. When recording tests for apps inside packages, `local_app_support()` is automatically added to the testing code. Modernized HTTP Stack Migrated from `{httr}` to `{httr2}` for all HTTP requests, ensuring compatibility with modern R web tooling and better long-term maintenance. 📚 Learn More: - Package website: https://lnkd.in/dt9ZtezY - Use-package vignette: https://lnkd.in/dvv7VRXj - GitHub: https://lnkd.in/dF6rF3CB #rstats #rshiny #DataScience #RStats #ShinyApp #RPackageDevelopment #SoftwareTesting

Baret Schloerke on shinytest2 0.5.0

https://www.linkedin.com/posts/schloerke_rstats-rshiny-datascience-activity-7416512006045810688-xyBc

#RShiny #RStats

This spring, AthlyticZ will become the first learning platform to offer Posit Workbench and Positron directly inside an LMS for creators, instructors, and students.

Fully integrated. Scalable. And built for modern, reproducible data science education.

pamfit: A new R package for spatially resolved analysis of Imaging PAM photosynthesis–irradiance light curve parameters Imaging Pulse Amplitude Modulation (PAM) fluorometry allows spatially resolved measurements of Photosystem II (PSII) fluorescence kinetics through time without disturbing study organisms or their env....

New MicroLab paper out with @bruno-jesus.bsky.social showing our #Rshiny app for pixel-wise modelling and analysis of #ImagingPAM rapid light curve datasets! Enjoy!

#PAM #RLCs #Walz #open #source #Rshiny

aslopubs.onlinelibrary.wiley.com/doi/10.1002/...

DSLC Shiny Club: Session 2025-04-11 (shiny_club01) YouTube video by Data Science Learning Community Videos

From the DSLC.io aRchives:

🔵 DSLC Shiny Club: Session 2025-04-11 youtu.be/ILvEf66-Bgk

🔵 Spatial Statistics for Data Science: Types of Spatial Data youtu.be/PWFkpmcyx_U

Visit dslc.video for hours of new #DataScience videos every week!

#dataBS #PyShiny #RShiny #RStats

Including:
- Becoming a BayeZian with Dr. Scott Spencer of Columbia University, 50+ Hours of high-end Bayesian Modeling.

- Shiny ApplicationZ Series with @veerle.hypebright.nl & @davidgranjon.bsky.social (Author of Outstanding User Interfaces with Shiny), 50+ hours of high-end Shiny App Development

R Shiny Course vs. Self-Learning: Which Path Gets You Building Apps Faster? The answer isn't what most people think.

Building apps with #rshiny

BestopCloud: an integrated one-stop solution for single-cell RNA sequencing data analysis. #SingleCell #scRNAseq #DataAnalysis #WebTool #OpenSource #Rshiny #BMCgenomics @NatureGenet
bmcgenomics.biomedcentral.com/articles/10....

Devops for Data Science: Linux Administration (do4ds02 9) YouTube video by Data Science Learning Community Videos

Recent DSLC.io club meetings:

🔵🟢 DevOps4DS: Linux Administration youtu.be/9v0k9VmduWc

🔵 Outstanding Shiny UI: Shiny and React with {reactR} youtu.be/3vhNVxSChDg

Visit dslc.video for hours of new #DataScience videos every week!

#dataBS #RStats #PyData #DevOps #RShiny

GitHub - professorbeautiful/shinyDebuggingPanel: shinyDebuggingPanel R package. You can include this panel in any shiny project. shinyDebuggingPanel R package. You can include this panel in any shiny project. - professorbeautiful/shinyDebuggingPanel

Calling all shiny lovers. 🧪
github.com/professorbea...
2025-10-08 Big changes, because bsModal no longer showed the output & shinyalert had problems too: couldn't close the popup.
Now using showModal(modalDialog(...)).👌🏽
Runs ad hoc #R and #JS to debug your shiny app. #rshiny #rstats

R Packages: Releasing to CRAN (rpkgs04 23) YouTube video by Data Science Learning Community Videos

From the DSLC.io aRchives:

🔵 R Packages: Releasing to CRAN youtu.be/eK1YB8Lmgws

🔵 Outstanding User Interfaces with Shiny: Mastering Shiny’s events youtu.be/OztLsdJYyK4

Visit dslc.video for hours of new #DataScience videos every week!

#dataBS #RStats #rshiny

CatalyZing R — Weekly Applied R, Shiny & AI/LLM Training Learn R, Shiny, and AI/LLM workflows with Dr. Albert Rapp. Weekly applied projects, code repos, & pre-scaled GCP VMs. Early-bird $39/mo.

We couldn’t be prouder to welcome @albertrapp.bsky.social and to open this next chapter for our community.

👉 Reserve your spot (founders pricing available):
athlyticz.com/catalyzing-r

Let’s build things worth showing. 💪

#rstats #rshiny #quartopub #datascience #data #dataanalytics

SynergiZing ML & LLMs in R — tidymodels, RAG, Shiny | Athlyticz Waitlist open for Athlyticz’s async R course: tidymodels + LLMs (RAG, tool-calling, evals) and Shiny/vetiver deployment—by Nic Crane & Christoph Scheuch.

We’re thrilled to have @niccrane.bsky.social and @christophscheuch.bsky.social join our team to co-develop our flagship async course, SynergiZing ML & LLMs in R.

We’ve also welcomed @albertrapp.bsky.social to lead our monthly membership track.

👉 Early access updates here: athlyticz.com/ai-signup

🚀 Athlyticz is launching a new AI/LLM initiative.

Next week we’ll reveal the team, our training plans, live events, and more to help you ship real R/Shiny/LLM workflows.

Want first access to the announcement article? Comment “LLM” and we’ll send it to you on release.

#AI #LLM #RStats #rShiny

Devops for Data Science: Databases and Data APIs (do4ds02 3) YouTube video by Data Science Learning Community Videos

Recent DSLC.io club meetings:

🔵🟢 DevOps4DS: Databases and Data APIs youtu.be/UiyMPIzM3V8

🔵 Outstanding Shiny UI: Automate new template creation with {charpente} youtu.be/G5Ukp3wUT5A

Visit dslc.video for hours of new #DataScience videos every week!

#dataBS #RStats #PyData #DevOps #RShiny

By request: Same #rshiny app → native #electron desktop app workflow now on #Windows11

shinyelectron::export() → #rshinylive → installer → app.exe

[Worth the Parallels license to record this from my Mac]

Still no #rstats dependencies for end users. Living the cross-platform life (virtually).

Shiny in Production 2025: R Dev Day Do you use R? Would you like to play a part in sustaining it? Find out about the R Dev Day that is returning as a satellite event to Shiny in Production 2025. This post will answer questions you may have, such as: “Do I need to be an R guru to participate?”, “What will I be expected to do?”, and “Is there a cost to attend?”. Hopefully by the end, you’ll be motivated to sign up!

Do you use R? Would you like to play a part in sustaining it? Find out about the R Dev Day that is returning as a satellite event to Shiny in Production 2025.

#rstats #rshiny #ShinyInProduction #conferences

Super interesting to hear #TaraWickramasekera 🗣️ on developing a decision aid incorporating a #DCE task, with personalised results presented live to patients using @rshiny.bsky.social

#IHEA2025 @sheffielduni.bsky.social #HealthEconomics #PatientPreferences

Shiny in Production 2025: Lightning Talk Lineup We are pleased to announce the lightning talks for this year's Shiny in Production conference! In this blog post, we've pulled together all of the talk abstracts to give you a full view of what to expect!

We are happy to share that alongside nine full-length sessions, this year’s conference (8–9 October) also features a lineup of fast-paced 5‑minute lightning talks.


#ShinyInProduction #RStats #RShiny #ShinyApps #DataScience

Ready to Build Professional, Data-Driven Applications? Join Shiny Ignite and master Shiny app development with real-world sports data case studies. Gain hands-on experience in a structured, project-based environment.

Free training on reactivity using Shiny just launched on our platform. Learn through building an MLB app with defensive positioning data - enjoy!

athlyticz.com/shiny-ignite

#rstats #rshiny #rmarkdown #quartopub #datascience #data

@athlyticz.bsky.social is dropping a full Free Shiny training on reactivity tomorrow. Join and build a sports-based app on our platform.

Want in? Simply comment "interested" on this post and we will respond once its ready for you to register.

#RSTATS #rshiny #sports #sportsanalytics

YouTube analytics dashboard

Happy Sunday! I’ve been working on a new #rshiny demo for my Church to analyze YouTube Livestream stats ⛪️

Features:
📊 historical & comparative data viz
💹 data refresh with rate limits + async
🧽 string parsing to add valuable context for seasons

🔗 dalyanalytics.shinyapps.io/ccsg/

#rstats

Health Metrics: COVID-19 Outbreaks - part 1 (health_metrics01 15) YouTube video by Data Science Learning Community Videos

Recent DSLC.io club meetings:

🔵 Health Metrics: COVID-19 Outbreaks - part 1 youtu.be/vsk_U52KgWQ

From the DSLC aRchives:

🔵 Mastering Shiny: Tidy evaluation youtu.be/hzFruvsiJQs

Visit dslc.video for hours of new #DataScience videos every week!

#dataBS #RStats #rshiny

Outstanding User Interfaces with Shiny: Shiny inputs lifecycles (shinyui02 13) YouTube video by Data Science Learning Community Videos

From the DSLC.io aRchives:

🔵 Outstanding User Interfaces with Shiny: Shiny inputs lifecycles youtu.be/Ns2bi-SdVlw

🔵 R Packages: Dependencies: In Practice youtu.be/rK7NRXBN18A

Visit dslc.video for hours of new #DataScience videos every week!

#dataBS #rshiny #RStats

Useful keyboard shortcuts I just learned:

🔹RStudio: Ctrl + P jumps between matching parentheses/brackets

🔹Positron: Cmd + Shift + \ (Mac)

It’s been really helpful for navigating nested functions in #rshiny without scrolling around looking for the right bracket…which I frequently do 🤣

#rstats

A quick tour of what it looks like to launch apps/run code inside Athlyticz

Our custom-built platform was engineered for scale from day 1 — enabling teams across businesses & universities to run high-end models & deploy production-grade apps.

Check out this app course by @veerle.hypebright.nl

We are working on a new #RShiny article about good development practices.

The article was too big so I had to break it down into 4 articles.

And for now it'll only be available in French.

Why does it take so much time to write content?

patrick star from spongebob squarepants stands in front of a large brown object with the letter t on top Alt: patrick star from spongebob squarepants getting back under his rock home

🪨 It’s me realizing that shiny::bindCache() is not a fancy new function but was released on version 1.6.0 in 2021 #rstats #rshiny #databs

Mastering Shiny: Security (mshiny06 22) YouTube video by Data Science Learning Community Videos

From the DSLC.io aRchives:

🔵 Mastering Shiny: Security youtu.be/YQoSns_4smc

🔵 Tidy Modeling with R: youtu.be/6t11D9uSJE8

Visit dslc.video for hours of new #DataScience videos every week!

#dataBS #rShiny #RStats #shiny

RStudio interface showing an R Shiny app script with a `shinydocker::export()` command, alongside a browser window displaying a "Hello Docker" Shiny app with a histogram and slider control for the number of observations.

RStudio interface with an R Shiny app script and a browser window showing the default Shiny Server welcome page with an "It's Alive!" message and a sample histogram at the localhost:3838 mapping.

RStudio interface showing a Python Shiny app script with a `shinydocker::export()` command, alongside a browser window displaying a "Hello Docker" Shiny app with a histogram and slider control for the number of observations.

Ever wished your Shiny app could travel anywhere, anytime?

Coming soon... a tool that turns your #rshiny or #pyshiny app dreams into portable reality. ✨

#docker