dUtility {sdcMicro} | R Documentation |
IL1s data utility.
dUtility(x, xm, method="IL1")
x |
original data |
xm |
perturbed data |
method |
method IL1 or eigen. More methods are implemented in summary.micro() |
The standardised distances of the perturbed data values to the original ones are measured. Measure IL1 measures the distances between the original values and the perturbed ones, scaled by the standard deviation. Method ‘eigen’ and ‘robeigen’ compares the eigenvalues and robust eigenvalues form the original data and the perturbed data.
data utility
Matthias Templ
for IL1s: see http://vneumann.etse.urv.es/publications/sci/lncs3050Outlier.pdf,
Templ, M. and Meindl, B., Robust Statistics Meets {SDC}: New Disclosure Risk Measures for Continuous Microdata Masking, Lecture Notes in Computer Science, Privacy in Statistical Databases, vol. 5262, pp. 113-126, 2008.
data(free1) m1 <- microaggregation(free1[, 31:34], method="onedims", aggr=3) m2 <- microaggregation(free1[, 31:34], method="pca", aggr=3) dRisk(x=free1[, 31:34], xm=m1$blowxm) dRisk(x=free1[, 31:34], xm=m2$blowxm) dUtility(x=free1[, 31:34], xm=m1$blowxm) dUtility(x=free1[, 31:34], xm=m2$blowxm) data(Tarragona) x <- Tarragona[, 5:7] y <- addNoise(x)$xm dRiskRMD(x, xm=y) dRisk(x, xm=y) dUtility(x, xm=y) dUtility(x, xm=y, method="eigen") dUtility(x, xm=y, method="robeigen")