sdc_testproblem

<code>sdc_testproblem()</code> returns a sdc-problem instance with <code>2</code> hierarchies and
optionally with a single suppressed cell that is used in various examples
and tests.

Methods for statistical disclosure control in
tabular data such as primary and secondary cell suppression as described for example
in Hundepol et al. (2012) <doi:10.1002/9781118348239> are covered in this package.

Bernhard Meindl

sdcTable

Methods for Statistical Disclosure Control in Tabular Data

sdc_testproblem function

<dl><dt>with_supps</dt>
<dd>if <code>TRUE</code>, a single cell (violating minimal-frquency rule
with <code>n</code> = 2) is marked as primary sensitive.</dd></dl>

Arguments

A Problem-Instance used for examples/testing — sdc_testproblem

<dl>

<dt>with_supps</dt>
<dd>if <code>TRUE</code>, a single cell (violating minimal-frquency rule
with <code>n</code> = 2) is marked as primary sensitive.</dd>

</dl>

sdc_testproblem: A Problem-Instance used for examples/testing

Description

Usage

Value

Arguments

Examples