sampleDonor_cpp

Randomly select donor records given a probability weight vector. This sampling procedure is implemented differently than <code>randSample_cpp</code> to speed up performance of C++-function <code>recordSwap()</code>.
 
NOTE: This is an internal function used for testing the C++-function <code>sampleDonor</code> which is used inside the C++-function <code>recordSwap()</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 

sampleDonor_cpp function

<dl><dt>data</dt>
<dd>micro data containing the hierarchy levels and household ID</dd>
<dt>similar_cpp</dt>
<dd>List where each entry corresponds to column indices of variables in <code>data</code> which should be considered when swapping households.</dd>
<dt>hid</dt>
<dd>column index in <code>data</code> which refers to the household identifier.</dd>
<dt>IDswap</dt>
<dd>vector containing records for which a donor needs to be sampled</dd>
<dt>IDswap_pool_vec</dt>
<dd>set from which `IDswap` was drawn</dd>
<dt>prob</dt>
<dd>a vector of probability weights for obtaining the elements of the vector being sampled.</dd>
<dt>seed</dt>
<dd>integer setting the sampling seed</dd></dl>

Arguments

Randomly select donor records given a probability weight vector. This sampling procedure is implemented differently than <code>randSample_cpp</code> to speed up performance of C++-function <code>recordSwap()</code>.
 
NOTE: This is an internal function used for testing the C++-function <code>sampleDonor</code> which is used inside the C++-function <code>recordSwap()</code>.

Random sample for donor records — sampleDonor_cpp

<dl>

<dt>data</dt>
<dd>micro data containing the hierarchy levels and household ID</dd>


<dt>similar_cpp</dt>
<dd>List where each entry corresponds to column indices of variables in <code>data</code> which should be considered when swapping households.</dd>


<dt>hid</dt>
<dd>column index in <code>data</code> which refers to the household identifier.</dd>


<dt>IDswap</dt>
<dd>vector containing records for which a donor needs to be sampled</dd>


<dt>IDswap_pool_vec</dt>
<dd>set from which `IDswap` was drawn</dd>


<dt>prob</dt>
<dd>a vector of probability weights for obtaining the elements of the vector being sampled.</dd>


<dt>seed</dt>
<dd>integer setting the sampling seed</dd>

</dl>

sampleDonor_cpp: Random sample for donor records

Description

Usage

Arguments