An object of class sdcProblem contains the entire information that is
required to protect the complete table that is given by the dimensional
variables. Such an object holds the data itself (slot dataObj), the
entire information about the dimensional variables (slot dimInfo),
information on all table cells (ID's, bounds, values, anonymization state in
slot problemInstance), the indices on the sub tables that need to be
considered if one wants to protect primary sensitive cells using a heuristic
approach (slot partition and the information on which groups or rather
subtables have already been protected while performing a heuristic method
(slots startI and startJ).
Bernhard Meindl bernhard.meindl@statistik.gv.at
dataObj:an object of class dataObj (or NULL) holding information on the underlying data
dimInfo:an object of class dimInfo (or NULL) containing information on all dimensional variables
problemInstance:an object of class problemInstance holding information on values, bounds, required protection levels as well as the anonymization state for all table cells
partition:a list object (or NULL) that is typically generated with calc.multiple(type='makePartitions',...) specifying information on the subtables and the necessary order that need to be protected when using a heuristic approach to solve the cell suppression problem
startI:a numeric vector of length 1 defining the group-level of the subtables in which a heuristic algorithm needs to start. All subtables having a group-index less than startI have already been protected
startJ:a numeric vector of length 1 defining the number of the table within the group defined by parameter startI at which a heuristic algorithm needs to start. All tables in the group having an index j smaller than startJ have already been protected
indicesDealtWith:a numeric vector holding indices of table cells that have protected and whose anonymization state must remain fixed