returns the number of observations violating k-anonymity.
kAnon_violations(object, weighted, k)
# S4 method for class 'sdcMicroObj,logical,numeric'
kAnon_violations(object, weighted, k)
a sdcMicroObj-class
object
TRUE
or FALSE
defining if sampling weights should be taken into account
a positive number defining parameter k
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
.