Plot prevalence results — plotPrevalence • IncidencePrevalence

Plot prevalence results

Usage

plotPrevalence(
  result,
  x = "prevalence_start_date",
  ylim = c(0, NA),
  ribbon = FALSE,
  facet = NULL,
  colour = NULL,
  colour_name = NULL,
  options = list()
)

Arguments

result: Prevalence results
x: Variable to plot on x axis
ylim: Limits for the Y axis
ribbon: If TRUE, the plot will join points using a ribbon
facet: Variables to use for facets
colour: Variables to use for colours
colour_name: Colour legend name
options: a list of optional plot options

Value

A ggplot with the prevalence results plotted

Examples

# \donttest{
cdm <- mockIncidencePrevalenceRef(sampleSize = 1000)
cdm <- generateDenominatorCohortSet(
  cdm = cdm, name = "denominator",
  cohortDateRange = c(as.Date("2014-01-01"), as.Date("2018-01-01"))
)
#> ℹ Creating denominator cohorts
#> ✔ Cohorts created in 0 min and 2 sec
prev <- estimatePointPrevalence(
  cdm = cdm,
  denominatorTable = "denominator",
  outcomeTable = "outcome"
)
#> Getting prevalence for analysis 1 of 1
#> Time taken: 0 mins and 0 secs
plotPrevalence(prev)

# }