subsetMicrodata

allows to restrict original data to only a subset. This may be useful to test some anonymization
methods. This function will only be used in the graphical user interface <code>sdcApp</code>.

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 

subsetMicrodata function

<dl><dt>obj</dt>
<dd>an object of class <code><a href="/link/data.frame?package=sdcMicro&version=5.7.8" data-mini-rdoc="sdcMicro::data.frame">data.frame</a></code> containing micro data</dd>
<dt>type</dt>
<dd>algorithm used to sample from original microdata. Currently supported choices are<dl>
<dt><code>n_perc</code></dt>
<dd>the restricted microdata will be a <code>n-percent</code> sample of the original microdata.</dd></dl></dd><dt><code>first_n</code></dt>
<dd>only the first <code>n</code> observations will be used.</dd><dt><code>every_n</code></dt>
<dd>the restricted microdata set consists of every <code>n-th</code> record.</dd><dt><code>size_n</code></dt>
<dd>a total of <code>n</code> observations will be randomly drawn.</dd>
</dl>
<dt>n</dt>
<dd>numeric vector of length 1 specifying the specific parameter with respect to argument <code>type</code>.</dd>

Arguments

Author

subsetMicrodata — subsetMicrodata

<dl>

<dt>obj</dt>
<dd>an object of class <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code> containing micro data</dd>


<dt>type</dt>
<dd>algorithm used to sample from original microdata. Currently supported choices are<dl>
<dt><code>n_perc</code></dt>
<dd>the restricted microdata will be a <code>n-percent</code> sample of the original microdata.</dd>

<dt><code>first_n</code></dt>
<dd>only the first <code>n</code> observations will be used.</dd>

<dt><code>every_n</code></dt>
<dd>the restricted microdata set consists of every <code>n-th</code> record.</dd>

<dt><code>size_n</code></dt>
<dd>a total of <code>n</code> observations will be randomly drawn.</dd>


</dl></dd>


<dt>n</dt>
<dd>numeric vector of length 1 specifying the specific parameter with respect to argument <code>type</code>.</dd>

</dl>

subsetMicrodata: subsetMicrodata

Description

Usage

Value

Arguments

Author