View source: R/CharacterzationQueries.R
getContinuousRiskFactors | R Documentation |
A function to extract non-case and case continuous characterization results
getContinuousRiskFactors(
connectionHandler,
schema,
cTablePrefix = "c_",
cgTablePrefix = "cg_",
databaseTable = "database_meta_data",
targetId = NULL,
outcomeId = NULL,
analysisIds = NULL
)
connectionHandler |
A connection handler that connects to the database and extracts sql queries. Create a connection handler via 'ResultModelManager::ConnectionHandler$new()'. |
schema |
The result database schema (e.g., 'main' for sqlite) |
cTablePrefix |
The prefix used for the characterization results tables |
cgTablePrefix |
The prefix used for the cohort generator results tables |
databaseTable |
The name of the table with the database details (default 'database_meta_data') |
targetId |
An integer corresponding to the target cohort ID |
outcomeId |
Am integer corresponding to the outcome cohort ID |
analysisIds |
The feature extraction analysis ID of interest (e.g., 201 is condition) |
Specify the connectionHandler, the schema and the target/outcome cohort IDs
A data.frame with the characterization results for the cases and non-cases
Other Characterization:
getBinaryCaseSeries()
,
getBinaryRiskFactors()
,
getCaseBinaryFeatures()
,
getCaseContinuousFeatures()
,
getCaseCounts()
,
getCharacterizationDemographics()
,
getContinuousCaseSeries()
,
getDechallengeRechallenge()
,
getIncidenceRates()
,
getTargetBinaryFeatures()
,
getTargetContinuousFeatures()
,
getTargetCounts()
,
getTimeToEvent()
,
plotAgeDistributions()
,
plotSexDistributions()
conDet <- getExampleConnectionDetails()
connectionHandler <- ResultModelManager::ConnectionHandler$new(conDet)
rf <- getContinuousRiskFactors(
connectionHandler = connectionHandler,
schema = 'main',
targetId = 1,
outcomeId = 3
)
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