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<table width="100%" summary="page for TermDocMatrix {tm}"><tr><td>TermDocMatrix {tm}</td><td align="right">R Documentation</td></tr></table>
<h2>Term-document matrix</h2>


<h3>Description</h3>

<p>
Constructs a term-document matrix.
</p>


<h3>Usage</h3>

<pre>
TermDocMatrix(object, control = list())
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>object</code></td>
<td>
a text document collection</td></tr>
<tr valign="top"><td><code>control</code></td>
<td>
a list of control options. The option <code>weighting</code>
must be a weighting function capable of handling a
<code>dgCMatrix</code>. It defaults to <code>weightTf</code> for term frequency
weighting. All other options are delegated internally to a
<code><a href="termFreq.html">termFreq</a></code> call.</td></tr>
</table>

<h3>Value</h3>

<p>
An S4 object of class <code>TermDocMatrix</code> containing a sparse term-document
matrix. The following slots contain useful information:
</p>
<table summary="R argblock">
<tr valign="top"><td><code>Data</code></td>
<td>
The sparse <code>Matrix</code></td></tr>
<tr valign="top"><td><code>Weighting</code></td>
<td>
The weighting mode applied to the term-document matrix</td></tr>
</table>

<h3>Author(s)</h3>

<p>
Ingo Feinerer
</p>


<h3>See Also</h3>

<p>
The documentation to <code><a href="termFreq.html">termFreq</a></code> gives an extensive list of
possible options.
</p>
<p>
Available weighting functions shipped with this
package are <code><a href="weightTf.html">weightTf</a></code>, <code><a href="weightTfIdf.html">weightTfIdf</a></code>,
<code><a href="weightBin.html">weightBin</a></code> and <code><a href="weightLogical.html">weightLogical</a></code>.
</p>


<h3>Examples</h3>

<pre>
data("crude")
(tdm &lt;- TermDocMatrix(crude, control = list(weighting = weightTfIdf, stopwords = TRUE)))
</pre>



<hr><div align="center">[Package <em>tm</em> version 0.3 <a href="00Index.html">Index]</a></div>

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