kAnon_violations

kAnon_violations,sdcMicroObj,logical,numeric-method

returns the number of observations violating k-anonymity.

Data from statistical agencies and other institutions are mostly
confidential. This package, introduced in Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v067.i04>, can be used for the generation of anonymized
(micro)data, i.e. for the creation of public- and scientific-use files.
The theoretical basis for the methods implemented can be found in Templ (2017) <doi:10.1007/978-3-319-50272-4>.
Various risk estimation and anonymization methods are included. Note that the package
includes a graphical user interface published in Meindl and Templ (2019) <doi:10.3390/a12090191> that allows to use various methods of this
package.

Matthias Templ

sdcMicro

Statistical Disclosure Control Methods for Anonymization of Data
and Risk Estimation

Bernhard Meindl

Alexander Kowarik

Johannes Gussenbauer

Organisation For Economic Co-Operation And Development 

Statistics Netherlands 

Pascal Heus 

kAnon_violations function

<dl><dt>object</dt>
<dd>a <code>sdcMicroObj-class</code> object</dd>
<dt>weighted</dt>
<dd><code>TRUE</code> or <code>FALSE</code> defining if sampling weights should be taken into account</dd>
<dt>k</dt>
<dd>a positive number defining parameter k</dd></dl>

Arguments

kAnon_violations — kAnon_violations

<dl>

<dt>object</dt>
<dd>a <code>sdcMicroObj-class</code> object</dd>


<dt>weighted</dt>
<dd><code>TRUE</code> or <code>FALSE</code> defining if sampling weights should be taken into account</dd>


<dt>k</dt>
<dd>a positive number defining parameter k</dd>

</dl>

kAnon_violations: `kAnon_violations`

Description

Usage

Value

Arguments