Format a measurement_timings object into a visual table

Format a measurement_timings object into a visual table

Usage

tableMeasurementTimings(
  result,
  header = c(visOmopResults::strataColumns(result)),
  groupColumn = c("codelist_name"),
  settingsColumn = character(),
  hide = c("variable_level"),
  style = NULL,
  type = NULL,
  .options = list()
)

Arguments

result

A summarised_result object.

header

Columns to use as header. See options with `visOmopResults::tableColumns(result)`.

groupColumn

Columns to group by. See options with `visOmopResults::tableColumns(result)`.

settingsColumn

Columns from settings to include in results. See options with `visOmopResults::settingsColumns(result)`.

hide

Columns to hide from the visualisation. See options with `visOmopResults::tableColumns(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), or NULL which converts to "default" style, or custom code.

type

Type of table. Check supported types with `visOmopResults::tableType()`. If NULL 'gt' type will be used.

.options

A named list with additional formatting options. `visOmopResults::tableOptions()` shows allowed arguments and their default values.

Value

A formatted table

Examples

# \donttest{
library(MeasurementDiagnostics)

cdm <- mockMeasurementDiagnostics()

result <- summariseMeasurementUse(
  cdm = cdm,
  codes = list("test_codelist" = c(3001467L, 45875977L))
)
#> → Getting measurement records based on 2 concepts.
#> → Subsetting records to the subjects and timing of interest.
#> → Getting time between records per person.
#> → Summarising results - value as number.
#> → Summarising results - value as concept.
#> → Binding all diagnostic results.

tableMeasurementTimings(result)


  
CDM name
      
Variable name
      
Estimate name
      
Estimate value
    
test_codelist
    
mock database
Number records
N
100

Number subjects
N
67

Time (days)
Median [Q25 - Q75]
249 [67 - 645]


Range
8 to 2,886

Measurements per subject
Median [Q25 - Q75]
2.00 [1.00 - 2.00]


Range
1.00 to 4.00

CDMConnector::cdmDisconnect(cdm = cdm)
# }