dUtility {sdcMicro}R Documentation

data utility

Description

IL1s data utility

Usage

dUtility(x, xm)

Arguments

x original data
xm perturbed data

Details

Here we measure standardised distances of the perturbed data values to the original ones.

Value

data utility

Note

Note, that this measure of information loss does not evaluate how well univariate or multivariate statistics are preserved.

Author(s)

Matthias Templ

References

look e.g. in http://vneumann.etse.urv.es/publications/sci/lncs3050Outlier.pdf

See Also

dRisk

Examples

 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)

[Package sdcMicro version 2.1.0 Index]