An interactive R-Shiny app for quickly visualizing a tidy, long dataset with multiple dimensions with an application in clinical trial simulations for platform trials

Visualizing tidy, long data with multiple dimensions is a task often encountered when performing scientific computer simulations. In general, in such simulations the impact of many input variables on outcome metrics investigated. One area where complex structures containing simulated are clinical trial simulation. When visualizing data, we usually interested marginal effect (one or several) variables, which mostly renders existing visualization software useless tedious to use. We have developed an R-Shiny app designed specifically for this task, significantly speeds up workflow. article, described alongside two illustrative examples, one illustrates use actual platform simulation data.