Bar plot of denominator and outcome counts from prevalence results

Usage

plotPrevalencePopulation(
  result,
  x = "prevalence_start_date",
  y = "denominator_count",
  facet = NULL,
  colour = NULL
)

Arguments

result: Prevalence results
x: Variable to plot on x axis
y: Variable to plot on y axis.
facet: Variables to use for facets. To see available variables for facetting use the functions availablePrevalenceGrouping().
colour: Variables to use for colours. To see available variables for colouring use the function availablePrevalenceGrouping().

Value

A ggplot object

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
plotPrevalencePopulation(prev)

# }