plotIndication {DrugUtilisation} | R Documentation |
Generate a plot visualisation (ggplot2) from the output of summariseIndication
Description
Generate a plot visualisation (ggplot2) from the output of summariseIndication
Usage
plotIndication(
result,
facet = cdm_name + cohort_name ~ window_name,
colour = "variable_level"
)
Arguments
result |
A summarised_result object. |
facet |
Columns to facet by. See options with
|
colour |
Columns to color by. See options with
|
Value
A ggplot2 object
Examples
library(DrugUtilisation)
library(CDMConnector)
library(dplyr)
cdm <- mockDrugUtilisation()
indications <- list("headache" = 378253, "asthma" = 317009)
cdm <- generateConceptCohortSet(cdm, indications, "indication_cohorts")
cdm <- generateIngredientCohortSet(
cdm = cdm, name = "drug_cohort", ingredient = "acetaminophen"
)
result <- cdm$drug_cohort |>
summariseIndication(
indicationCohortName = "indication_cohorts",
unknownIndicationTable = "condition_occurrence",
indicationWindow = list(c(-Inf, 0), c(-365, 0))
)
plotIndication(result)
[Package DrugUtilisation version 0.8.1 Index]