populateShinyApp: Adds the results of the study into a shiny app

In mi-erasmusmc/CovCoagEmaPrediction: Coagulopathy prediction in SARS-Cov-2

Description

Adds the results of the study into a shiny app

Usage

populateShinyApp(
  outputDirectory = "./ShinyApp",
  shinyDirectory,
  resultDirectory,
  minCellCount = 10,
  databaseName = "sharable name of development data"
)

Arguments

outputDirectory	Name of folder containing the shiny app
shinyDirectory	Location of a template shiny app (with no data)
resultDirectory	The location of the results from the study
minCellCount	The minimum number of subjects contributing to a count before it can be included in the results.
databaseName	A friendly name for the database

Details

This function adds the results of the study into a shiny app ready for sharing

mi-erasmusmc/CovCoagEmaPrediction documentation built on Dec. 21, 2021, 5:54 p.m.