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This is done by creating a Shiny interface to different tools for data transformation (dplyr and tidyr), plotting (ggplot2), and noncompartmental analysis (PKNCA). These results can be reported in Excel, Word or PowerPoint. The state of the app can be saved and loaded at a later date. When saved, a script is generated to reproduce the different actions in the Shiny interface.

Runs the pharmacometrics ruminate app.

Usage

ruminate(
  host = "127.0.0.1",
  port = 3838,
  development = FALSE,
  server_opts = list(shiny.maxRequestSize = 30 * 1024^2),
  mksession = FALSE
)

Arguments

host

Hostname of the server ("127.0.0.1")

port

Port number for the app (3838)

development

Boolean variable indicating

server_opts

List of options (names) and their vlues (value) e.g. list(shiny.maxRequestSize = 30 * 1024^2).

mksession

Boolean value, when TRUE will load test session data for app testing and will also load development modules (FALSE).

Value

Nothing is returned, this function just runs the built-in ruminate app.

Author

Maintainer: John Harrold john.m.harrold@gmail.com (ORCID)

Examples

if (interactive()) {
ruminate()
}