Format a dose_coverage object into a visual table.
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).- type
Type of table. Check supported types with
visOmopResults::tableType().- hide
Columns to hide from the visualisation. See options with
availableTableColumns(result).- 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 <- summariseDoseCoverage(cdm, 1125315)
#> ℹ The following estimates will be computed:
#> • daily_dose: count_missing, percentage_missing, mean, sd, q25, median, q75
#> ! Table is collected to memory as not all requested estimates are supported on
#> the database side
#> → Start summary of data, at 2025-09-21 19:46:00.620826
#> ✔ Summary finished, at 2025-09-21 19:46:01.084751
tableDoseCoverage(result)
#> cdm_name, ingredient_name, variable_name, variable_level, estimate_name, and
#> sample_size are missing in `columnOrder`, will be added last.
DUS MOCK; acetaminophen
# }