summary.micro: Summary method for objects from class micro

In sdcTools/sdcMicro: Statistical Disclosure Control Methods for Anonymization of Data and Risk Estimation

Summary method for objects from class micro

Description

Summary method for objects from class ‘micro’.

Usage

## S3 method for class 'micro'
summary(object, ...)

Arguments

object	objects from class micro
...	Additional arguments passed through.

Details

This function computes several measures of information loss, such as

Value

meanx	A conventional summary of the original data
meanxm	A conventional summary of the microaggregated data
amean	average relative absolute deviation of means
amedian	average relative absolute deviation of medians
aonestep	average relative absolute deviation of onestep from median
devvar	average relative absolute deviation of variances
amad	average relative absolute deviation of the mad
acov	average relative absolute deviation of covariances
arcov	average relative absolute deviation of robust (with mcd) covariances
acor	average relative absolute deviation of correlations
arcor	average relative absolute deviation of robust (with mcd) correlations
acors	average relative absolute deviation of rank-correlations
adlm	average absolute deviation of lm regression coefficients (without intercept)
adlts	average absolute deviation of lts regression coefficients (without intercept)
apcaload	average absolute deviation of pca loadings
apppacaload	average absolute deviation of robust (with projection pursuit approach) pca loadings
atotals	average relative absolute deviation of totals
pmtotals	average relative deviation of totals

Author(s)

Matthias Templ

References

Templ, M. Statistical Disclosure Control for Microdata Using the R-Package sdcMicro, Transactions on Data Privacy, vol. 1, number 2, pp. 67-85, 2008. http://www.tdp.cat/issues/abs.a004a08.php

See Also

microaggregation, valTable

Examples

data(Tarragona)
m1 <- microaggregation(Tarragona, method = "onedims", aggr = 3)

summary(m1)

sdcTools/sdcMicro documentation built on March 15, 2024, 12:32 p.m.