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The poster below summarizes updated robust #covariance-based #structural #equation #modeling #CBSEM workflow of current available #rstats #packages and #shinyapps

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Comprehensive Analysis of Latent Means (CALMs)

#rstats #package #CALMs #shinyapps does 1) #propensity #score, 2) #measurement #invariance, 3) #structural #invariance evaluent.shinyapps.io/CALMs/

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Ok, I'm glad for Ellmer
we are needing to summarise many, many, documents and I'm finding it very usefull
#rstats #shinyapps

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Pharma dashboards often underperform. Not due to data quality, but lack of thoughtful design. Here’s how Atorus uses #Shiny to build clinical apps that are fast, scalable, and built for real use. #ShinyApps #DataViz (contd.)

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3/ #Shiny is about more than just dashboards. It’s about creating compliant, reusable tools for every stage of the data workflow: from exploratory analysis to #qualitycontrol review and static reporting. #ClinicalOperations #ShinyApps

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3/ #Shiny is about more than just dashboards. It’s about creating compliant, reusable tools for every stage of the data workflow: from exploratory analysis to #qualitycontrol review and static reporting. #ClinicalOperations #ShinyApps

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Let’s say you just starting to use #rstats #SEM #package #lavaan and gotten a nice results. Next is to do a nice SEM figure, here is a #shinyapps option solo-fsw.shinyapps.io/lavaangui/ and the article www.tandfonline.com/doi/full/10....

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Got a #Shiny app idea but don’t know where to start? 🤔Shiny Assistant can help you get unstuck and start building: shiny.posit.co/blog/posts/s... #RLang #ShinyApps #DataScience

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2/ We build on trusted #opensource tools like #Shiny to deliver custom apps that work for every user. Even those with no programming experience. That reduces ad hoc support and speeds up insight delivery. #ShinyApps

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Our book on #questionnaire designing and #structural #equation #modeling #SEM is officially out today from #Universiti #Malaya #UMPress. We focus on freely available apps and resources #jamovi #ADANCO #Zotero #rstats #shinyapps www.umpress.com.my/index.php?ro...

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LLMs can be unpredictable, but powerful! Daniel Chen shares how to build AI dashboards with Chatlas & Ellmer, & where LLMs fit into reproducible data science.

📍The NY Data Science & AI Conf I Aug 26–27 in NYC & Online

🎟️ & info: dataconf.ai/nyc

#LLMs #AI #ShinyApps #dataBS @chendaniely.bsky.social

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Make Shiny Work for You: Interactive. Compliant. Built for Clinical.

Make Shiny Work for You: Interactive. Compliant. Built for Clinical.

Whether you need interactive timelines, outlier detection tools, or customized dashboards for regulatory deliverables, we design validated Shiny apps that add clarity, speed, and compliance to your workflows.

tinyurl.com/zrk2psrn

#ShinyApps #RStats #DataScience #GxP #Atorus #ClinicalTech

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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

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interactive web application of GenDivRange

interactive web application of GenDivRange

(2/2) ... #GenDivRange comes with an interactive web application for data visualization and exploration.
👉 webapps.wsl.ch/GenDivRange/ (for desktop use)

#geneticdiversity #popgen #congen #macroecology #rshiny #shinyapps

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Shiny App Development | Atorus Research Shiny app development made simple. Atorus builds custom, GxP-compliant R-powered apps for clinical trials. From concept to deployment, we’ve got you covered.

4/ With GxP readiness, audit trails, access controls, and validation baked in, Atorus apps are built for real-world use — not just prototypes.

Explore our Shiny development approach:
www.atorusresearch.com/analytics-en... #Atorus #ClinicalInnovation #ShinyApps

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1/ Building secure, scalable, compliant dashboards in Shiny takes a well-stocked toolbox — deep clinical trial experience and Shiny development knowhow. That’s where Atorus comes in —clinical insight + front-end finesse.
#ShinyApps #ClinicalDataScience

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Shiny in Production 2025: Workshops The details of all of our workshops for Shiny in Production are now live on the conference website. Read on for full details all in one place.

This year’s Shiny in Production Conference workshops cover the key aspects of building effective, production-ready Shiny apps: Testing for {shiny}, Asynchronous Shiny, Maps in Shiny, Figma & UI Design for Shiny.


#ShinyInProduction #RStats #RShiny #ShinyApps

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Shiny App Development | Atorus Research Shiny app development made simple. Atorus builds custom, GxP-compliant R-powered apps for clinical trials. From concept to deployment, we’ve got you covered.

5/ Ready to develop your next compliant Shiny app? Explore our approach: www.atorusresearch.com/analytics-en... #Atorus #ShinyApps

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3/ Need to flag data quality issues for DM? Explore trends for Medical Monitoring? Or navigate outliers in Biostats?
We’ve built Shiny apps for all of the above — with audit trails, validation, and UX built in. #ShinyApps #ClinicalDataScience

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Shiny App Development | Atorus Research Shiny app development made simple. Atorus builds custom, GxP-compliant R-powered apps for clinical trials. From concept to deployment, we’ve got you covered.

4/ Ready to go from static to interactive? Discover how Atorus makes it easy to adopt Shiny for secure, real-time insights.

Visit www.atorusresearch.com/analytics-en... #ShinyApps #Atorus

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Dominance Analysis

Here are 2 #rstats #shinyapps to run #dominance / #relative #weight #analysis for your #multiple #linear #regression #model langtest.jp/shiny/relimp/ and rwa-web.shinyapps.io/multipleregr...

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shinyapps.io shinyapps.io

Deployed my first Shiny for Python Prototype to shinyapps.io today!

The biggest difference from R was getting the package dependencies right for the Python environment. As per usual the Posit team makes it very easy to deploy apps to their cloud-hosted solutions.

#shinyApps #python #rstats #gis

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Business value > AI/ML/Analytics/BI Toolkit

There's too many toolkits you could use without convergence on simple standards - don't spread yourself thin.

#rstats #python #sql #arrow #shinyApps #geospatial #consulting #swe #dataAnalytics #dataScience #machineLearning #AI

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Katy Morgan: More than just a chat bot
Katy Morgan: More than just a chat bot Generative AI offers huge potential for driving creativity by suggesting new ideas and perspectives and can also improve efficiency by rapidly processing and extracting insights from large volumes of text. However, using a chatbot-style tool such as ChatGPT can be overwhelming as users have to work out, through trial and error, which questions and instructions give them the outputs they need. The Government Internal Audit Agency’s data analytics team has created two R shiny web applications, each of which simplifies the user’s experience of using generative AI by providing a user-friendly interface and implementing a set of standardised prompts. The Risk Engine walks the user through a stepwise process to explore and articulate the potential risks that might impact any given business objective. The Writing Engine enables users to analyse and generate text in several ways, including generating a draft audit report from rough notes, and summarising common themes from...

The last of our longer talks from Shiny in Production 2024 is from Katy Morgan. In it she covers how The Government Internal Audit Agency’s data analytics team created two Shiny applications to simplify the user's experience of using generative AI.

#ShinyApps #RStats #AI #UX #ShinyInProduction

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My brand new weather toy
And yes, doing some shinyR in the background
#bresser
#rstats
#shinyapps

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New blog post: Initial impressions from testing Posit Connect
lcolladotor.github.io/2025/03/14/i...

I describe our use case and why I think that Posit Connect will be helpful for our @lieberinstitute.bsky.social work moving forward

@posit.co #RStats #shiny #shinyapps #spatialLIBD #iSEE

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Tan Ho: A minimum viable Shiny infrastructure for serving 95,000 monthly users
Tan Ho: A minimum viable Shiny infrastructure for serving 95,000 monthly users All too often, Shiny gets criticized for scaling poorly ‐ and yet the DynastyProcess Shiny app crushes those expectations by serving over 95,000 unique users each month! In this talk, we’ll deep dive into the motivations, architecture, and design decisions driving the development of a massively popular app and share takeaways for scaling up your own apps.

This week's Shiny in Production 2024 talk, from Tan Ho, covers how to scale a Shiny app to deal with almost 100,000 visitors per month.

#ShinyApps #RStats #DataScience #ShinyInProduction

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October 2025

Reminder: The abstract submission deadline for this year's Shiny in Production Conference is just two weeks away!

Don't miss your chance to share your insights, innovations, and experiences with the Shiny & R community.


#Rstats #ShinyInProduction #DataScience #ShinyApps

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Gareth Burns: Shiny in Secondary Education
Gareth Burns: Shiny in Secondary Education The Statisticians in the Pharmaceutical Industry (PSI) Schools Outreach initiative aims at promoting data literacy and statistical concepts to the next generation of Statisticians and Data Scientists. Volunteers attend secondary schools to present from specialised workshops which are designed to be interactive, engaging and aligned to the national curriculum for different age groups. The PSI Visualisation Special Interest Group (VIS SIG) created a Shiny application to supplement an existing workshop for Asthma. This workshop aims to introduce the students to analysis of continuous data and make them think about concealing treatment assignment and consider false positive and false negative results. The application allowed electronic data capture the ability to dynamically explore their own data, re-enforcing the statistical concepts and making learning more engaging and accessible. Each school is different in terms of class size, computer resources and student abilities, therefore the application needed to be flexible to account for this...

This week's Shiny in Production video is from Gareth Burns with "Shiny in Secondary Education". In this talk, he explores how Shiny applications can enhance the teaching of Statistics and Data Science to the next generation.

#ShinyApps #Rstats #DataScience #ShinyinProduction

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is about to end
#shiny #shinyapps

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