Format a drug_utilisation object into a visual table.
tableDrugUtilisation(
result,
header = c("cdm_name"),
groupColumn = c("cohort_name", strataColumns(result)),
type = "gt",
hide = c("variable_level", "censor_date", "cohort_table_name", "gap_era", "index_date",
"restrict_incident"),
.options = list()
)
A table with a formatted version of summariseIndication() results.
A summarised_result object.
Columns to use as header. See options with
availableTableColumns(result)
.
Columns to group by. See options with
availableTableColumns(result)
.
Type of table. Check supported types with
visOmopResults::tableType()
.
Columns to hide from the visualisation. See options with
availableTableColumns(result)
.
A named list with additional formatting options.
visOmopResults::tableOptions()
shows allowed arguments and their default
values.
# \donttest{
library(DrugUtilisation)
library(CodelistGenerator)
cdm <- mockDrugUtilisation()
codelist <- getDrugIngredientCodes(cdm = cdm, name = "acetaminophen")
cdm <- generateDrugUtilisationCohortSet(cdm = cdm,
name = "dus_cohort",
conceptSet = codelist)
drugUse <- cdm$dus_cohort |>
summariseDrugUtilisation(ingredientConceptId = 1125315)
tableDrugUtilisation(drugUse)
# }
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