Stitch by Stitch: The Art of Engaging New Users
summary
Pharma tables for clinical trials get recreated and tweaked dozens of times so an R package called tfrmt stores formatting as metadata (exportable JSON) and applies it to results to avoid analysis rework. A Shiny app, tfrmt builder, lets non-coders initialize/edit/export demographics tables, mirror package syntax, and save reusable templates. Layering lets users apply small cosmetic changes without touching analysis. Input expects one record per value (long, unformatted), the project ships open source and already smooths collaboration.
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chapters (9)
- 0:00Engaging new users
- 2:59Table formatting challenges
- 4:51Open source learning barriers
- 7:05Confidence via starter projects
- 10:21tfrmt Builder Shiny app
- 12:30Quick table templates
- 14:18App versus R package
- 16:53User journey alignment
- 17:35Q&A
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