R & Reproducible Research
MedEd Conclave 2026 · 9–10 September 2026
A two-day, hands-on workshop for medical education faculty and researchers. You will leave able to import a dataset, explore it, visualise it, tabulate it, and wrap the whole thing in a document that regenerates itself: no copy-pasting between R, Word and PowerPoint ever again.
Install R, RStudio and Quarto, then run the setup check. It takes about 30 minutes and saves an hour of Day 1. → Start here: Prelude
What you will be able to do
Work reproducibly
Organise a project so that a colleague (or you, six months later) can rerun every number in your paper from raw data.
Visualise data
Build publication-quality figures with ggplot2, layer by layer, from a grammar you can reason about rather than a menu you memorise.
Wrangle and explore
Use dplyr verbs to filter, group and summarise messy education data, and run an honest exploratory analysis before you model anything.
Publish with Quarto
One .qmd source → HTML, Word, PDF, slides. Citations, cross-references and figures that update when the data does.
Tabulate for journals
gtsummary for Table 1, comparisons and regression output that is submission-ready in three lines of code.
Use GenAI honestly
Prompt engineering that helps rather than hallucinates, plus the ethical and disclosure rules that apply to health research in India.
Structure of the two days
| Day 1, Wed 9 Sep | Day 2, Thu 10 Sep | |
|---|---|---|
| Morning | Foundations, getting started, R & ggplot2 |
Communicating with Quarto, gtsummary |
| Afternoon | Quarto basics, dplyr & EDA |
Generative AI, live coding, group work |
Every teaching block (45 min) is followed by a hands-on block (45–60 min). Roughly two-thirds of your time is spent with your hands on a keyboard.
Who this is for
Medical education faculty and researchers who are new to R. No prior programming assumed. If you have used SPSS, Excel or Stata, you already understand most of the statistical ideas. This workshop changes the tools, not the statistics.
Faculty
| Faculty | Sessions |
|---|---|
| Dr Biju Soman | Fundamentals of reproducible research; live coding |
| Dr Arun Mitra | Data science & AI basics; Quarto; gtsummary; live coding |
| Dr Gurpreet | R & ggplot2; dplyr & EDA; Generative AI in health research |
| SET Team | Registration, groups, pre/post-test, valedictory |
How to use this site
- Prelude: do this before the workshop.
- Day 1 / Day 2: one page per session: objectives, slides, worked examples, exercises with collapsible solutions.
- Resources: cheatsheets, troubleshooting, glossary, further reading.
All materials stay online after the workshop. The site is built from a public repository; corrections are welcome as issues or pull requests.
Materials are licensed CC BY 4.0; code is MIT. Please reuse and adapt with attribution.