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<table width="100%" summary="page for Groceries {arules}"><tr><td>Groceries {arules}</td><td align="right">R Documentation</td></tr></table>
<h2>Groceries Data Set</h2>


<h3>Description</h3>

<p>
The <code>Groceries</code> data set contains 1 month (30 days) of real-world
point-of-sale transaction data from a typical local grocery outlet.  The data
set contains 9835 transactions and the items are aggregated to 169
categories.
</p>
<p>
If you use this data set in your paper, please refer to the paper in the
references section.
</p>


<h3>Usage</h3>

<pre>data(Groceries)</pre>


<h3>Format</h3>

<p>
Object of class <code>transactions</code>.
</p>


<h3>Source</h3>

<p>
The data set is provided for arules by Michael Hahsler, Kurt Hornik 
and Thomas Reutterer.
</p>


<h3>References</h3>

<p>
Michael Hahsler, Kurt Hornik, and Thomas Reutterer (2006) Implications of
probabilistic data modeling for mining association rules. In M. Spiliopoulou,
R. Kruse, C. Borgelt, A. Nuernberger, and W. Gaul, editors, <EM>From Data and
Information Analysis to Knowledge Engineering, Studies in Classification, Data
Analysis, and Knowledge Organization</EM>, pages 598&ndash;605. Springer-Verlag.
</p>



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