Create a table showing indication results
Usage
tableIndication(
result,
header = c("cdm_name", "cohort_name", strataColumns(result)),
groupColumn = "variable_name",
hide = c("window_name", "mutually_exclusive", "unknown_indication_table",
"censor_date", "cohort_table_name", "index_date", "indication_cohort_name"),
type = "gt",
style = "default",
.options = list()
)Arguments
- result
A summarised_result object.
- header
Columns to use as header. See options with
availableTableColumns(result).- groupColumn
Columns to group by. See options with
availableTableColumns(result).- hide
Columns to hide from the visualisation. See options with
availableTableColumns(result).- type
Type of table. Check supported types with
visOmopResults::tableType().- style
Named list that specifies how to style the different parts of the table generated. It can either be a pre-defined style ("default" or "darwin" - the latter just for gt and flextable), NULL to get the table default style, or custom. Keep in mind that styling code is different for all table styles. To see the different styles use
visOmopResults::tableStyle().- .options
A named list with additional formatting options.
visOmopResults::tableOptions()shows allowed arguments and their default values.
Examples
# \donttest{
library(DrugUtilisation)
cdm <- mockDrugUtilisation()
result <- cdm$cohort1 |>
summariseIndication(
indicationCohortName = "cohort2",
indicationWindow = list(c(-30, 0)),
unknownIndicationTable = "condition_occurrence"
)
#> ℹ Intersect with indications table (cohort2)
#> ℹ Summarising indications.
tableIndication(result)
#> cdm_name, cohort_name, variable_name, window_name, censor_date,
#> cohort_table_name, index_date, indication_cohort_name, mutually_exclusive, and
#> unknown_indication_table are missing in `columnOrder`, will be added last.
Indication from 30 days before to the index date
# }