Plots the age distributions using the binary age groups

Creates bar charts for the target and case age groups.

Usage

plotAgeDistributions(
  ageData,
  riskWindowStart = "1",
  riskWindowEnd = "365",
  startAnchor = "cohort start",
  endAnchor = "cohort start"
)

Arguments

ageData

The age data extracted using 'getCharacterizationDemographics(type = 'age')'

riskWindowStart

The time at risk window start

riskWindowEnd

The time at risk window end

startAnchor

The anchor for the time at risk start

endAnchor

The anchor for the time at risk end

Value

Returns a ggplot with the distributions

Details

Input the data returned from 'getCharacterizationDemographics(type = 'age')' and the time-at-risk

See also

Other Characterization: getBinaryCaseSeries(), getBinaryRiskFactors(), getCaseBinaryFeatures(), getCaseContinuousFeatures(), getCaseCounts(), getCaseTargetBinaryFeatures(), getCaseTargetCounts(), getCharacterizationCohortBinary(), getCharacterizationCohortContinuous(), getCharacterizationDemographics(), getCharacterizationOutcomes(), getCharacterizationTargets(), getContinuousCaseSeries(), getContinuousRiskFactors(), getDechallengeRechallenge(), getDechallengeRechallengeFails(), getIncidenceOutcomes(), getIncidenceRates(), getIncidenceTargets(), getTargetBinaryFeatures(), getTargetContinuousFeatures(), getTimeToEvent(), plotSexDistributions()

Examples

conDet <- getExampleConnectionDetails()

connectionHandler <- ResultModelManager::ConnectionHandler$new(conDet)
#> Connecting using SQLite driver

ageData <- getCharacterizationDemographics(
connectionHandler = connectionHandler, 
schema = 'main',
targetId = 1, 
outcomeId = 3, 
type = 'age'
)

plotAgeDistributions(ageData = ageData)