returns the number of observations violating k-anonymity.
methods
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
Returns
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.