testdata

testdata2

A concise (1-5 lines) description of the dataset.

datasets

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 

testdata function

testdata: a data frame with 4580 observations on the following 15 variables.<dl>
<dt>urbrur</dt>
<dd>a numeric vector</dd><dt>roof</dt>
<dd>a numeric vector</dd><dt>walls</dt>
<dd>a numeric vector</dd><dt>water</dt>
<dd>a numeric vector</dd><dt>electcon</dt>
<dd>a numeric vector</dd><dt>relat</dt>
<dd>a numeric vector</dd><dt>sex</dt>
<dd>a numeric vector</dd><dt>age</dt>
<dd>a numeric vector</dd><dt>hhcivil</dt>
<dd>a numeric vector</dd><dt>expend</dt>
<dd>a numeric vector</dd><dt>income</dt>
<dd>a numeric vector</dd><dt>savings</dt>
<dd>a numeric vector</dd><dt>ori_hid</dt>
<dd>a numeric vector</dd><dt>sampling_weight</dt>
<dd>a numeric vector</dd><dt>household_weights</dt>
<dd>a numeric vector</dd></dl>testdata2: A data frame with 93 observations on the following 19 variables.<dl>
<dt>urbrur</dt>
<dd>a numeric vector</dd><dt>roof</dt>
<dd>a numeric vector</dd><dt>walls</dt>
<dd>a numeric vector</dd><dt>water</dt>
<dd>a numeric vector</dd><dt>electcon</dt>
<dd>a numeric vector</dd><dt>relat</dt>
<dd>a numeric vector</dd><dt>sex</dt>
<dd>a numeric vector</dd><dt>age</dt>
<dd>a numeric vector</dd><dt>hhcivil</dt>
<dd>a numeric vector</dd><dt>expend</dt>
<dd>a numeric vector</dd><dt>income</dt>
<dd>a numeric vector</dd><dt>savings</dt>
<dd>a numeric vector</dd><dt>ori_hid</dt>
<dd>a numeric vector</dd><dt>sampling_weight</dt>
<dd>a numeric vector</dd><dt>represent</dt>
<dd>a numeric vector</dd><dt>category_count</dt>
<dd>a numeric vector</dd><dt>relat2</dt>
<dd>a numeric vector</dd><dt>water2</dt>
<dd>a numeric vector</dd><dt>water3</dt>
<dd>a numeric vector</dd></dl>

Format

A real-world data set on household income and expenditures — testdata

testdata: a data frame with 4580 observations on the following 15 variables.<dl>
<dt>urbrur</dt>
<dd>a numeric vector</dd>

<dt>roof</dt>
<dd>a numeric vector</dd>

<dt>walls</dt>
<dd>a numeric vector</dd>

<dt>water</dt>
<dd>a numeric vector</dd>

<dt>electcon</dt>
<dd>a numeric vector</dd>

<dt>relat</dt>
<dd>a numeric vector</dd>

<dt>sex</dt>
<dd>a numeric vector</dd>

<dt>age</dt>
<dd>a numeric vector</dd>

<dt>hhcivil</dt>
<dd>a numeric vector</dd>

<dt>expend</dt>
<dd>a numeric vector</dd>

<dt>income</dt>
<dd>a numeric vector</dd>

<dt>savings</dt>
<dd>a numeric vector</dd>

<dt>ori_hid</dt>
<dd>a numeric vector</dd>

<dt>sampling_weight</dt>
<dd>a numeric vector</dd>

<dt>household_weights</dt>
<dd>a numeric vector</dd>

</dl>testdata2: A data frame with 93 observations on the following 19 variables.<dl>
<dt>urbrur</dt>
<dd>a numeric vector</dd>

<dt>roof</dt>
<dd>a numeric vector</dd>

<dt>walls</dt>
<dd>a numeric vector</dd>

<dt>water</dt>
<dd>a numeric vector</dd>

<dt>electcon</dt>
<dd>a numeric vector</dd>

<dt>relat</dt>
<dd>a numeric vector</dd>

<dt>sex</dt>
<dd>a numeric vector</dd>

<dt>age</dt>
<dd>a numeric vector</dd>

<dt>hhcivil</dt>
<dd>a numeric vector</dd>

<dt>expend</dt>
<dd>a numeric vector</dd>

<dt>income</dt>
<dd>a numeric vector</dd>

<dt>savings</dt>
<dd>a numeric vector</dd>

<dt>ori_hid</dt>
<dd>a numeric vector</dd>

<dt>sampling_weight</dt>
<dd>a numeric vector</dd>

<dt>represent</dt>
<dd>a numeric vector</dd>

<dt>category_count</dt>
<dd>a numeric vector</dd>

<dt>relat2</dt>
<dd>a numeric vector</dd>

<dt>water2</dt>
<dd>a numeric vector</dd>

<dt>water3</dt>
<dd>a numeric vector</dd>

</dl>

A real-world data set on household income and expenditures

testdata: A real-world data set on household income and expenditures

Description

Arguments

Format

References

Examples