randSample_cpp

Randomly select records given a probability weight vector <code>prob</code>.
 
NOTE: This is an internal function used for testing the C++-function <code>randSample</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 

randSample_cpp function

<dl><dt>ID</dt>
<dd>vector containing record IDs from which to sample</dd>
<dt>N</dt>
<dd>integer defining the number of records to be sampled</dd>
<dt>prob</dt>
<dd>a vector of probability weights for obtaining the elements of the vector being sampled.</dd>
<dt>IDused</dt>
<dd>vector containing IDs which must not be sampled</dd>
<dt>seed</dt>
<dd>integer setting the sampling seed</dd></dl>

Arguments

Randomly select records given a probability weight vector <code>prob</code>.
 
NOTE: This is an internal function used for testing the C++-function <code>randSample</code> which is used inside the C++-function <code>recordSwap()</code>.

Random Sampling — randSample_cpp

<dl>

<dt>ID</dt>
<dd>vector containing record IDs from which to sample</dd>


<dt>N</dt>
<dd>integer defining the number of records to be sampled</dd>


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


<dt>IDused</dt>
<dd>vector containing IDs which must not be sampled</dd>


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

</dl>

randSample_cpp: Random Sampling

Description

Usage

Arguments