Imputute missing covariates — impute

The function will impute all NA values with either a given statistic (e.g. median) or with the largest group

Usage

impute_covar(var, uniques = NULL, type = "median", verbose = FALSE)

Arguments

var: vector with the items that should be imputed
uniques: vector that defines unique records to enable calculation of stats on non duplicate values
type: character of length one defining the type of statistics to perform for imputation (see details)
verbose: logical indicating if additional information should be given

Value

a vector where missing values are imputed

Details

The function can be used to impute continuous or categorical covariates. In case continuous covariates the type argument should be a statistic like median or mean. In case a categorical covariate is used, the type should be set to 'largest' in which case the category that occurs most is used. In case multiple values occur most, the last encountered is used.

Author

Richard Hooijmaijers

Examples

dfrm  <- data.frame(num1 = c(NA,110))
impute_covar(dfrm$num1,type="median")
#> [1] 110 110