Variables that can be used for faceting and colouring prevalence plots

Usage

availablePrevalenceGrouping(result, varying = FALSE)

Arguments

result: Prevalence results
varying: If FALSE, only variables with non-unique values will be returned, otherwise all available variables will be returned

Examples

# \donttest{
cdm <- mockIncidencePrevalence(sampleSize = 1000)
cdm <- generateDenominatorCohortSet(
  cdm = cdm, name = "denominator",
  cohortDateRange = c(as.Date("2014-01-01"), as.Date("2018-01-01"))
)
#> ℹ Creating denominator cohorts
#> ! cohort columns will be reordered to match the expected order:
#>   cohort_definition_id, subject_id, cohort_start_date, and cohort_end_date.
#> ✔ Cohorts created in 0 min and 2 sec
prev <- estimatePointPrevalence(
  cdm = cdm,
  denominatorTable = "denominator",
  outcomeTable = "outcome"
)
#> ℹ Getting prevalence for analysis 1 of 1
#> ✔ Time taken: 0 mins and 0 secs
availablePrevalenceGrouping(prev)
#> character(0)
# }