R-shiny - how to set it up effectively and avoid common mistakes
Interview with Daniel Sabanés Bové
The Effective Statistician - in association with PSI
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Show Notes
What You’ll Learn in This Episode:
✔ Why interactive visualizations are such a game changer
✔ How R-Shiny makes scenario planning and data exploration easier
✔ What to consider before you even start coding
✔ Common mistakes to avoid with larger Shiny apps
✔ How to structure your code for long-term success and maintainability
✔ Tips to improve usability and ensure better stakeholder engagement
**We also discuss**:
✔ The TEAL framework by Roche for clinical trial analysis
✔ How to use AI to quickly generate Shiny prototypes
✔ Tools like shinytest2 and the Shiny UI Editor
✔ Why designing for your user’s workflow is critical
✔ When it’s time to call in an expert for help
Resources & Links
👉 Shiny Apps:
- teal framework
- Lessons for Shiny Apps Tutorial
- Shiny Assistant
- Shiny UI Editor
- Tours of Shiny apps
- RPACT Cloud
🔗 Rconis
🔗 The Effective Statistician Academy – I offer free and premium resources to help you become a more effective statistician.
🔗 Medical Data Leaders Community – Join my network of statisticians and data leaders to enhance your influencing skills.
🔗 My New Book: How to Be an Effective Statistician - Volume 1 – It’s packed with insights to help statisticians, data scientists, and quantitative professionals excel as leaders, collaborators, and change-makers in healthcare and medicine.
🔗 PSI (Statistical Community in Healthcare) – Access webinars, training, and networking opportunities.
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