Shiny GUI to parameterize Visual Predictive Check (VPC) — vpcResultsUI • Certara.VPCResults

Use tidyvpc package to parameterize VPC from Shiny GUI and customize plot using ggplot2. Code generation functionality allows you to reproduce tidyvpc object and ggplot2 plot in your local R session via R script saved to your working directory.

Usage

vpcResultsUI(
  observed,
  simulated,
  ObsName = NULL,
  vpc.type = c("continuous", "categorical"),
  tagged = NULL,
  settings = NULL,
  ...
)

Arguments

observed: Observed input data.
simulated: Simulated input data.
ObsName: Optional character value specifiying the name of the observed dependent variable (e.g., ObsName).
vpc.type: Character value specifying type of VPC.
tagged: A list of tagged VPC's or model diagnostics created from previous Certara.VPC or Certara.ModelResults session.
settings: A list of plot customization settings used in previous Certara.VPC or Certara.ModelResults session.
...: Arguments for initiation from Pirana.

Value

If interactive(), returns a list of tagged diagnostics from the Shiny application, otherwise returns TRUE.

Examples

if (interactive()) {
vpcResultsUI(tidyvpc::obs_data, tidyvpc::sim_data)
}