Atorus Research

Bundling JS for Your Shiny App

So you've started writing custom JavaScript for your Shiny app... but where do you put all this code?! Organizing JS files to be sourced within one another can be really hard to navigate from within a Shiny application. In this talk I’ll cover what …

Drill Down Summary Tables in Shiny with Tplyr

Back in 2020, Atorus had the initial release of the R package Tplyr, which was built to simplify the creation of clinical summary tables. Now in 2022, new updates and enhancements have been added to Tplyr to give the user more, particularly in the …

R, Python, and Shiny in harmony: an Out-of-Box secure data backend for RStudio Connect & Workbench

Sarepta deployed RStudio Team for modern data analytics. One major hurdle we faced was how to serve data to Connect/Workbench securely in the backend. Partnering with Atorus, Sarepta solved this challenge using Box cloud storage as a secure data …

Summary Table Rewind: From Source to Summary and Back Again

Statistical programming of summary tables is a well-established task within the clinical world. In the last few years, the pharmaceutical industry has seen several new packages emerge to support these activities, including the Atorus package Tplyr . …

Closing the Gap: Creating an End to End R Package Toolkit for the Clinical Reporting Pipeline

abstract to follow

SafetyGraphics