plotSexDistributions: Plots the sex distributions using the sex features

In OhdsiReportGenerator: Observational Health Data Sciences and Informatics Report Generator

Plots the sex distributions using the sex features

Description

Creates bar charts for the target and case sex.

Usage

plotSexDistributions(
  sexData,
  riskWindowStart = "1",
  riskWindowEnd = "365",
  startAnchor = "cohort start",
  endAnchor = "cohort start"
)

Arguments

sexData	The sex data extracted using 'getCharacterizationDemographics(type = 'sex')'
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 = 'sex')' 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(), plotAgeDistributions()

Examples

conDet <- getExampleConnectionDetails()

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

sexData <- getCharacterizationDemographics(
  connectionHandler = connectionHandler, 
  schema = 'main',
  targetId = 1, 
  outcomeId = 3, 
  type = 'sex'
)
plotSexDistributions(sexData = sexData)

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