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 (see also 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 anonymisation methods are included. Note that the package
includes a graphical user interface (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

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