kAnon_violations {sdcMicro}

kAnon_violations

Description

returns the number of observations violating k-anonymity.

Usage

kAnon_violations(object, weighted, k)

## S4 method for signature 'sdcMicroObj,logical,numeric'
kAnon_violations(object, weighted, k)

Arguments

object

a sdcMicroObj-class object

weighted

TRUE or FALSE defining if sampling weights should be taken into account

k

a positive number defining parameter k

Value

the number of records that are violating k-anonymity based on unweighted sample data only (in case parameter weighted is FALSE) or computing the number of observations that are estimated to violate k-anonymity in the population in case parameter weighted equals TRUE.