plotAgeDistributions: Plots the age distributions using the binary age groups

In OhdsiReportGenerator: Observational Health Data Sciences and Informatics Report Generator

Plots the age distributions using the binary age groups

Description

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

Details

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

Value

Returns a ggplot with the distributions

See Also

Other Characterization: getBinaryCaseSeries(), getBinaryRiskFactors(), getCaseBinaryFeatures(), getCaseContinuousFeatures(), getCaseCounts(), getCharacterizationDemographics(), getContinuousCaseSeries(), getContinuousRiskFactors(), getDechallengeRechallenge(), getIncidenceRates(), getTargetBinaryFeatures(), getTargetContinuousFeatures(), getTargetCounts(), getTimeToEvent(), plotSexDistributions()

Examples

conDet <- getExampleConnectionDetails()

connectionHandler <- ResultModelManager::ConnectionHandler$new(conDet)

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

plotAgeDistributions(ageData = ageData)

OhdsiReportGenerator documentation built on April 12, 2025, 2:09 a.m.