Browser-based R tooling built for clinical data standards. No installation. No server. Runs entirely in your browser.
A structured 41-chapter curriculum designed for SAS-trained programmers. Every concept translated side-by-side with its SAS equivalent. Clinical examples throughout — no mtcars, no iris. Interactive code you can run right here in your browser.
Run R code directly in your browser via WebAssembly. No installation, no server — full R environment with plot output.
A library of ready-to-run R templates for clinical programming: KM curves, ANCOVA, forest plots, correlation matrices, and more.
Curated clinical R packages — pharmaverse, CDISC tools, stats, and visualisation. Community can add their own favourites.
Build a real R package in your browser — scaffold the structure, write functions with AI (full roxygen docs), bundle datasets, run a live check via WebR, and export a .tar.gz.
Short practice rounds for R syntax, SAS-to-R translations, clinical data concepts, and pharmaverse recall.
One-page visual references for clinical programming — SAS-to-R, tidyverse, lubridate, ADaM derivations, Tplyr tables, and ggplot2. Print any to PDF.
Open the Console
Navigate to R Console. The R runtime (~10 MB) downloads and starts automatically — this takes around 10–15 seconds on first load.
Pick a Template
Choose from 8 clinical templates — KM curves, t-tests, ANCOVA, forest plots, and more. Or write your own R code from scratch.
Run & Export
Press Run (or Ctrl+Enter). Console output appears live. Plots appear in the Plots tab and can be downloaded as PNG files.
Pharmaverse Playground
PlannedGuided walkthroughs using admiral, xportr, rtables, and teal — the clinical R stack — directly in the browser.
Shared Scripts
IdeaCommunity-submitted R scripts for SDTM/ADaM derivations that others can fork, run, and improve.
Scheduled Reports
IdeaSchedule R scripts to run on a timer and email results — lightweight study monitoring without a server.
Have an idea for R Center? Get in touch
