shuttle.html

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<html><head><title>R: Space Shuttle Autolander Problem</title>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
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<table width="100%" summary="page for shuttle {MASS}"><tr><td>shuttle {MASS}</td><td align="right">R Documentation</td></tr></table>
<h2>Space Shuttle Autolander Problem</h2>


<h3>Description</h3>

<p>
The <code>shuttle</code> data frame has 256 rows and 7 columns.
The first six columns are categorical variables giving example
conditions; the seventh is the decision. The first 253 rows are the
training set, the last 3 the test conditions.
</p>


<h3>Usage</h3>

<pre>
shuttle
</pre>


<h3>Format</h3>

<p>
This data frame contains the following columns:
<dl>
<dt><code>stability</code></dt><dd>Stable positioning or not (<code>stab / xstab</code>)
</dd>
<dt><code>error</code></dt><dd>Size of error (<code>MM / SS / LX / XL</code>)
</dd>
<dt><code>sign</code></dt><dd>Sign of error, positive or negative (<code>pp / nn</code>)
</dd>
<dt><code>wind</code></dt><dd>Wind sign (<code>head / tail</code>)
</dd>
<dt><code>magn</code></dt><dd>Wind strength (<code>Light / Medium / Strong / Out of Range</code>)
</dd>
<dt><code>vis</code></dt><dd>Visibility (<code>yes / no</code>)
</dd>
<dt><code>use</code></dt><dd>Use the autolander or not
</dd></dl>

<h3>Source</h3>

<p>
D. Michie (1989)
Problems of computer-aided concept formation. In
<EM>Applications of Expert Systems 2</EM>,
ed. J. R. Quinlan, Turing Institute Press / Addison-Wesley, pp. 310&ndash;333.
</p>


<h3>References</h3>

<p>
Venables, W. N. and Ripley, B. D. (2002)
<EM>Modern Applied Statistics with S.</EM> Fourth edition.  Springer.
</p>



<hr><div align="center">[Package <em>MASS</em> version 7.2-44 <a href="00Index.html">Index]</a></div>

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