Format a summarised_treatment result into a visual table.

Format a summarised_treatment result into a visual table.

Usage

tableTreatment(
  result,
  header = c("cdm_name", "cohort_name"),
  groupColumn = "variable_name",
  type = "gt",
  hide = c("window_name", "mutually_exclusive", "censor_date", "cohort_table_name",
    "index_date", "treatment_cohort_name")
)

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).

Value

A table with a formatted version of summariseTreatment() results.

Examples

# \donttest{
cdm <- mockDrugUtilisation()

result <- cdm$cohort1 |>
  summariseTreatment(
    treatmentCohortName = "cohort2",
    window = list(c(0, 30), c(31, 365))
  )
#> ℹ Intersect with medications table (cohort2)
#> ℹ Summarising medications.

tableTreatment(result)


  

      

        
cdm_name
      
    

      

        
DUS MOCK
      
    
Treatment
      
estimate_name
      

        
cohort_name
      
    
cohort_1
      
cohort_2
      
cohort_3
    
Medication from index date to 30 days after
    
cohort_1
N (%)
1 (50.0 %)
0 (0.0 %)
1 (25.0 %)
cohort_2
N (%)
0 (0.0 %)
0 (0.0 %)
0 (0.0 %)
cohort_3
N (%)
0 (0.0 %)
1 (25.0 %)
0 (0.0 %)
untreated
N (%)
1 (50.0 %)
3 (75.0 %)
3 (75.0 %)
not in observation
N (%)
0 (0.0 %)
0 (0.0 %)
0 (0.0 %)
Medication from 31 days after to 365 days after the index date
    
cohort_1
N (%)
2 (100.0 %)
0 (0.0 %)
1 (25.0 %)
cohort_2
N (%)
0 (0.0 %)
0 (0.0 %)
1 (25.0 %)
cohort_3
N (%)
0 (0.0 %)
2 (50.0 %)
1 (25.0 %)
untreated
N (%)
0 (0.0 %)
2 (50.0 %)
1 (25.0 %)
not in observation
N (%)
0 (0.0 %)
0 (0.0 %)
0 (0.0 %)
# }