Plot proportion of patients covered

Usage

plotProportionOfPatientsCovered(
  result,
  facet = "cohort_name",
  colour = strataColumns(result),
  ribbon = TRUE,
  style = "default"
)

Arguments

result: A summarised_result object.
facet: Columns to facet by. See options with availablePlotColumns(result). Formula is also allowed to specify rows and columns.
colour: Columns to color by. See options with availablePlotColumns(result).
ribbon: Whether to plot a ribbon with the confidence intervals.
style: Which style to apply to the plot, options are: "default", "darwin" and NULL (default ggplot style). Customised styles can be achieved by modifying the returned ggplot object.

Value

Plot of proportion Of patients covered over time

Examples

# \donttest{
library(DrugUtilisation)

cdm <- mockDrugUtilisation()

cdm <- generateDrugUtilisationCohortSet(cdm = cdm,
                                        name = "my_cohort",
                                        conceptSet = list(drug_of_interest = c(1503297, 1503327)))
#> ℹ Subsetting drug_exposure table
#> ℹ Checking whether any record needs to be dropped.
#> ℹ Collapsing overlaping records.
#> ℹ Collapsing records with gapEra = 1 days.

result <- cdm$my_cohort |>
  summariseProportionOfPatientsCovered(followUpDays = 365)
#> Getting PPC for cohort drug_of_interest
#> Collecting cohort into memory
#> Geting PPC over 365 days following first cohort entry
#>  -- getting PPC for ■■■■■■■■■■■                      124 of 365 days
#>  -- getting PPC for ■■■■■■■■■■■■■■■■■■■■■■■■■■       310 of 365 days
#>  -- getting PPC for ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■  365 of 365 days

plotProportionOfPatientsCovered(result)

# }