summary.micro {sdcMicro}R Documentation

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
...

Details

This function computes several measures of information loss, like

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 intersept)
adlts average absolute deviation of lts regression coefficients (without intersept)
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

Note

Additional measures of information loss will be included soon.

Author(s)

Matthias Templ

See Also

microaggregation, valTable

Examples

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

[Package sdcMicro version 2.5.8 Index]