Generate a custom ggplot2 from a summarised_result object generated with summariseDrugRestart() function.

Usage

plotDrugRestart(
  result,
  facetX = "variable_name",
  facetY = c("cdm_name", "cohort_name", "strata"),
  colour = "variable_level",
  splitStrata = TRUE
)

Arguments

result: A summarised_result object with results from summariseDrugRestart().
facetX: Vector of variables to facet by horizontally. Allowed options are: "cdm_name", "cohort_name", "strata", "variable_name"
facetY: Vector of variables to facet by vertically Allowed options are: "cdm_name", "cohort_name", "strata", "variable_name".
colour: Vector of variables to distinct by colour. Allowed options are: "cdm_name", "cohort_name", "strata", "variable_name", and "variable_level".
splitStrata: Whether to split strata columns.

Value

A ggplot2 object.

Examples

if (FALSE) { # \dontrun{
library(DrugUtilisation)

cdm <- mockDrugUtilisation()

conceptlist <- list("a" = 1125360, "b" = c(1503297, 1503327))
cdm <- generateDrugUtilisationCohortSet(
  cdm = cdm,
  name = "switch_cohort",
  conceptSet = conceptlist
)

result <- cdm$cohort1 |>
  summariseDrugRestart(switchCohortTable = "switch_cohort")

plotDrugRestart(result)

CDMConnector::cdmDisconnect(cdm = cdm)
} # }