tidyCovariateData: Tidy covariate data
In quinterpriest/FeatureExtraction: Generating Features for a Cohort

tidyCovariateData

R Documentation

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.

quinterpriest/FeatureExtraction documentation built on April 20, 2022, 12:49 a.m.