tidyCovariateData: Tidy covariate data

In OHDSI/FeatureExtraction: Generating Features for a Cohort

Tidy covariate data

Description

Tidy covariate data

Usage

tidyCovariateData(
  covariateData,
  minFraction = 0.001,
  normalize = TRUE,
  removeRedundancy = TRUE
)

Arguments

covariateData	An object as generated using the getDbCovariateData function.
minFraction	Minimum fraction of the population that should have a non-zero value for a covariate for that covariate to be kept. Set to 0 to don't filter on frequency.
normalize	Normalize the covariates? (dividing by the max).
removeRedundancy	Should redundant covariates be removed?

Details

Normalize covariate values by dividing by the max and/or remove redundant covariates and/or remove infrequent covariates. For temporal covariates, redundancy is evaluated per time ID.

Examples

## Not run: 
covariateData <- FeatureExtraction:::createEmptyCovariateData(
  cohortIds = 1,
  aggregated = FALSE,
  temporal = FALSE
)

covData <- tidyCovariateData(
  covariateData = covariateData,
  minFraction = 0.001,
  normalize = TRUE,
  removeRedundancy = TRUE
)

## End(Not run)

OHDSI/FeatureExtraction documentation built on April 22, 2024, 10:24 p.m.