standardizeEVs: Standardize expected values, and generate plot

In saharaja/imputeORS: Impute Missing Values in the BLS Occupational Requirements Survey

Description

The ELEs calculated by computeEVs() necessarily differ vastly in their range and distributions depending on the requirement. Standardizing them makes them more readily comparable.

Usage

standardizeEVs(blended.results, combine.adgs = TRUE, print.plot = TRUE)

Arguments

blended.results	Blended predictions from imputation models, calculated at convergence iterations and blending proportions computed by computeBlendingRatio() (output of blendImputations())
combine.adgs	Option to combine the four Lifting/carrying requirements and the two Reaching requirements into two aggregate requirements (LC and R, respectively); default is TRUE
print.plot	Should plot file (.png) be generated; default is TRUE (create plot file)

Value

A list of length three, containing a data frame of expected values, a matrix of standardized EVs, and a plot object of the standardized EVs; optionally produces a plot (.png file) of the standardized EVs

See Also

blendImputations()

computeEVs()

robustHD::standardize()

saharaja/imputeORS documentation built on Feb. 4, 2022, 12:27 a.m.