Plot proportion of patients covered

Usage

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

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: Visual theme to apply. Character, or NULL. If a character, this may be either the name of a built-in style (see plotStyle()), or a path to a .yml file that defines a custom style. If NULL, the function will use the explicit default style, unless a global style option is set (see visOmopResults::setGlobalPlotOptions()) or a _brand.yml file is present (in that order). Refer to the visOmopResults package vignette on styles to learn more.

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 ■■■■■■■■■■■                      123 of 365 days
#>  -- getting PPC for ■■■■■■■■■■■■■■■■■■■■■■■          272 of 365 days
#>  -- getting PPC for ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■  365 of 365 days

plotProportionOfPatientsCovered(result)

# }