plotPrevalencePopulation: Bar plot of denominator and outcome counts from prevalence...

In IncidencePrevalence: Estimate Incidence and Prevalence using the OMOP Common Data Model

Bar plot of denominator and outcome counts from prevalence results

Description

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

cdm <- mockIncidencePrevalence(sampleSize = 1000)
cdm <- generateDenominatorCohortSet(
  cdm = cdm, name = "denominator",
  cohortDateRange = c(as.Date("2014-01-01"), as.Date("2018-01-01"))
)
prev <- estimatePointPrevalence(
  cdm = cdm,
  denominatorTable = "denominator",
  outcomeTable = "outcome"
)
plotPrevalencePopulation(prev)

IncidencePrevalence documentation built on Aug. 8, 2025, 6:38 p.m.