R: Summary method for objects from class micro

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
`...` | 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)

[Package sdcMicro version 5.6.1 Index]