Bar plot of denominator counts, outcome counts, and person-time from incidence results

Usage

plotIncidencePopulation(
  result,
  x = "incidence_start_date",
  y = "denominator_count",
  facet = NULL,
  colour = NULL
)

Arguments

result: Incidence 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 availableIncidenceGrouping().
colour: Variables to use for colours. To see available variables for colouring use the function availableIncidenceGrouping().

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
inc <- estimateIncidence(
  cdm = cdm,
  denominatorTable = "denominator",
  outcomeTable = "outcome"
)
#> ℹ Getting incidence for analysis 1 of 1
#> ✔ Overall time taken: 0 mins and 1 secs
plotIncidencePopulation(inc)

# }