summary.micro {sdcMicro}

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)