fillMissing: Fill missing values

In privacytoolsproject/PSI-Library: Differentially Private Statistical Releases for Privacy Preservation

Description

Impute uniformly in the range of the provided variable

Usage

fillMissing(x, varType, imputeRng = NULL, categories = NULL)

Arguments

x	Vector with missing values to impute
varType	Character specifying the variable type
categories	Set of possible categories from which to choose, default NULL
lower	Numeric lower bound, default NULL
upper	Numeric upper bound, default NULL

Value

Vector x with missing values imputed

See Also

dpUnif

Examples

# numeric example
y <- rnorm(100)
y[sample(1:100, size=10)] <- NA
y_imputed <- fillMissing(x=y, varType='numeric', lower=-1, upper=1)

# categorical example
cats <- as.factor(c('dog', 'zebra', 'bird', 'hippo'))
s <- sample(cats, size=100, replace=TRUE)
s[sample(1:100, size=10)] <- NA
s_imputed <- fillMissing(x=s, varType='factor', categories=cats)

privacytoolsproject/PSI-Library documentation built on Feb. 17, 2020, 2:03 p.m.