selectHouseholdData

It removes individual level variables and selects one record per household based on a household ID. The function can also be used for other hierachical structures.

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 

selectHouseholdData function

<dl><dt>dat</dt>
<dd>a data.frame with the full dataset</dd>
<dt>hhId</dt>
<dd>name of the variable with the household (cluster) ID</dd>
<dt>hhVars</dt>
<dd>character vector with names of all household level variables</dd></dl>

Arguments

Thijs Benschop and Bernhard Meindl

Author

Creates a household level file from a dataset with a household structure. — selectHouseholdData

<dl>

<dt>dat</dt>
<dd>a data.frame with the full dataset</dd>


<dt>hhId</dt>
<dd>name of the variable with the household (cluster) ID</dd>


<dt>hhVars</dt>
<dd>character vector with names of all household level variables</dd>

</dl>

selectHouseholdData: Creates a household level file from a dataset with a household structure.

Description

Usage

Value

Arguments

Author

Examples