R Resources and Links
Select a cluster to explore curated links and resources
Resource map
Select a cluster from the map
to explore resources and links
R in Pharma & Data Science
R has grown from an academic statistics tool to a central pillar of pharma data science, covering everything from ADaM dataset derivation to regulatory submission outputs and interactive clinical dashboards.
The ecosystem is coordinated across initiatives including pharmaverse, openpharma, the R Consortium, and industry groups like PSI and PHUSE. Select any cluster to explore curated resources in that area.
Pharma-specific packages & initiatives
pharmaverse and the Roche NEST project provide a coordinated ecosystem of R packages for clinical reporting, ADaM construction, and regulatory submissions. Below are key entry points.
Visualisation packages & resources
ggplot2 is the foundation for static regulatory graphics in pharma — audit-friendly, code-driven, and publication-ready. A growing set of extensions handles clinical plot types. Below are curated resources from your collection.
R Shiny — apps & dashboards
Shiny powers interactive clinical data exploration, trial monitoring dashboards, and safety review tools. The Roche NEST/teal framework builds pharma-specific Shiny applications on top of ADaM data.
Training & learning resources
A strong mix of free and paid resources exists for R learners at all levels, including pharma-specific pathways. Many of the best resources are free online books or recorded conference workshops.
Tech stack & infrastructure
The modern pharma R stack centres on Posit tools for IDE and deployment, renv for reproducibility, Quarto for reporting and publishing, and containerisation for validated execution environments.
Community, conferences & GitHub
A strong open-source community has formed around R in pharma, spanning annual conferences, cross-industry working groups, and active GitHub organisations. PSI AIMS SIG is the natural home for UK statisticians in this space.