processTableHYPERCUBE {sdcTable} | R Documentation |
HYPERCUBE - algorithm for secondary cell suppression.
processTableHYPERCUBE (fullData, allowZeros=TRUE, randomResult=FALSE, suppMethod="minSupps", protectionLevel=80)
fullData |
object from class fullData. |
allowZeros |
should empty cells be allowed to be part of the suppression scheme? |
randomResult |
if several possible suppression schemes exist, always use the same or pick a random one? |
suppMethod |
should the algorithm minimize the number of suppressions (minSupps), minimize the suppressed sum of values (minSum) or the sum of logarithmized values (minSumLogs)? |
protectionLevel |
protection level in percent. |
Have a look at the link given below.
Manipulated data.
The algorithm runs only once through the entire data set. To make completely sure that also secondary suppressions are enough protected one should use function protectTable(x, method="GHMITER") which loops through the data set to ensure protection.
Bernhard Meindl
Repsilber, D. (1999). Das Quaderverfahren. In: Forum der Bundesstatistik, Band 31/1999
## Not run: data(exampleFullData) erg <- processTableHYPERCUBE(exampleFullData, suppMethod="minSUM") summary(erg) ## End(Not run)