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"),
  type = "gt"
)

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().

Value

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

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
      
    

      

        
DUS MOCK
      
    
censor_date
      
cohort_table_name
      
index_date
      
indication_cohort_name
      
Indication
      
estimate_name
      

        
cohort_name
      
    
cohort_1
      
cohort_2
      
cohort_3
    
Indication from 30 days before to the index date
    
NA
cohort1
cohort_start_date
cohort2
cohort_1
N (%)
3 (100.0 %)
0 (0.0 %)
1 (14.3 %)
NA
cohort1
cohort_start_date
cohort2
cohort_2
N (%)
0 (0.0 %)
0 (0.0 %)
1 (14.3 %)
NA
cohort1
cohort_start_date
cohort2
cohort_3
N (%)
0 (0.0 %)
0 (0.0 %)
0 (0.0 %)
NA
cohort1
cohort_start_date
cohort2
cohort_1 and cohort_2
N (%)
0 (0.0 %)
0 (0.0 %)
0 (0.0 %)
NA
cohort1
cohort_start_date
cohort2
cohort_1 and cohort_3
N (%)
0 (0.0 %)
0 (0.0 %)
0 (0.0 %)
NA
cohort1
cohort_start_date
cohort2
cohort_2 and cohort_3
N (%)
0 (0.0 %)
0 (0.0 %)
0 (0.0 %)
NA
cohort1
cohort_start_date
cohort2
cohort_1 and cohort_2 and cohort_3
N (%)
0 (0.0 %)
0 (0.0 %)
0 (0.0 %)
NA
cohort1
cohort_start_date
cohort2
unknown
N (%)
0 (0.0 %)
0 (0.0 %)
1 (14.3 %)
NA
cohort1
cohort_start_date
cohort2
none
N (%)
0 (0.0 %)
0 (0.0 %)
4 (57.1 %)
NA
cohort1
cohort_start_date
cohort2
not in observation
N (%)
0 (0.0 %)
0 (0.0 %)
0 (0.0 %)
# }