Format a dose_coverage object into a visual table.

Usage

tableDoseCoverage(
  result,
  header = c("variable_name", "estimate_name"),
  groupColumn = c("cdm_name", "ingredient_name"),
  type = "gt",
  hide = c("variable_level", "sample_size")
)

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 summariseDrugCoverage() results.

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 2024-12-19 13:46:06.887188
#> ✔ Summary finished, at 2024-12-19 13:46:07.164437

tableDoseCoverage(result)


  

      

        
variable_name
      
    

      

        
number records
      
      

        
Missing dose
      
      

        
daily_dose
      
    
unit
      
route
      
pattern_id
      

        
estimate_name
      
    
N
      
N (%)
      
Mean (SD)
      
Median (Q25 - Q75)
    
DUS MOCK; acetaminophen
    
overall
overall
overall
12
0 (0.0 %)
381.33 (632.28)
95.86 (30.86 - 396.57)
milligram
overall
overall
12
0 (0.0 %)
381.33 (632.28)
95.86 (30.86 - 396.57)
milligram
oral
overall
6
0 (0.0 %)
370.61 (799.48)
48.40 (11.86 - 106.75)
milligram
topical
overall
6
0 (0.0 %)
392.05 (489.97)
251.99 (68.90 - 420.48)
milligram
oral
9
6
0 (0.0 %)
370.61 (799.48)
48.40 (11.86 - 106.75)
milligram
topical
18
3
0 (0.0 %)
598.75 (664.15)
432.43 (233.00 - 881.34)
milligram
topical
9
3
0 (0.0 %)
185.35 (175.81)
119.36 (85.72 - 251.99)
# }