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<html><head><title>R: Predict using a knn object</title>
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<table width="100%" summary="page for predict.knn {knnTree}"><tr><td>predict.knn {knnTree}</td><td align="right">R Documentation</td></tr></table>
<h2>Predict using a knn object</h2>
<h3>Description</h3>
<p>
Predict class labels from a knn object and some data
</p>
<h3>Usage</h3>
<pre>predict.knn (object, test, train, theyre.the.same = FALSE,
return.classifications = FALSE, verbose=0, ...)</pre>
<h3>Arguments</h3>
<table summary="R argblock">
<tr valign="top"><td><code>object</code></td>
<td>
</td></tr>
<tr valign="top"><td><code>test</code></td>
<td>
</td></tr>
<tr valign="top"><td><code>train</code></td>
<td>
</td></tr>
<tr valign="top"><td><code>theyre.the.same</code></td>
<td>
</td></tr>
<tr valign="top"><td><code>return.classifications</code></td>
<td>
</td></tr>
<tr valign="top"><td><code>verbose</code></td>
<td>
</td></tr>
<tr valign="top"><td><code>...</code></td>
<td>
</td></tr>
</table>
<p>
{Other arguments, currently ignored}</p>
<h3>Details</h3>
<p>
This uses a knn object created by <font face="Courier New,Courier" color="#666666"><b>R</b></font>{knn.var} to make
predictions on some data.
</p>
<h3>Value</h3>
<p>
List with a component named "rate" giving test set error rate. If
return.classifications = TRUE, a second item named classifications is a vector
with the classification of each item in the test set.</p>
<h3>Author(s)</h3>
<p>
Sam Buttrey <a href="mailto:buttrey@nps.navy.mil">buttrey@nps.navy.mil</a>
</p>
<h3>References</h3>
<p>
Buttrey and Karo, 2002
</p>
<h3>See Also</h3>
<p>
<code>link{knn.var}</code>, <code><a href="knnTree.html">knnTree</a></code>
</p>
<hr><div align="center">[Package <em>knnTree</em> version 1.2.4 <a href="00Index.html">Index]</a></div>
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