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<table width="100%" summary="page for motor"><tr><td>motor</td><td align="right">R Documentation</td></tr></table>

<h2>
Data from a Simulated Motorcycle Accident
</h2>

<h3>Description</h3>


<p>The <code>motor</code> data frame has 94 rows and 4 columns.  The rows are
obtained by removing replicate values of <code>time</code> from the dataset 
<code>mcycle</code>.  Two extra columns are added to allow for strata with
a different residual variance in each stratum.
</p>


<h3>Usage</h3>

<pre>
motor
</pre>


<h3>Format</h3>


<p>This data frame contains the following columns:
</p>

<dl>
<dt><code>times</code></dt><dd>
<p>The time in milliseconds since impact.
</p>
</dd>
<dt><code>accel</code></dt><dd>
<p>The recorded head acceleration (in g).
</p>
</dd>
<dt><code>strata</code></dt><dd>
<p>A numeric column indicating to which of the three strata (numbered 1, 2 and 3)
the observations belong.
</p>
</dd>
<dt><code>v</code></dt><dd>
<p>An estimate of the residual variance for the observation.  <code>v</code> is constant
within the strata but a different
estimate is used for each of the three strata.
</p>
</dd></dl>


<h3>Source</h3>


<p>The data were obtained from
</p>
<p>Silverman, B.W. (1985) Some aspects of the spline smoothing approach to
non-parametric curve fitting. 
<EM>Journal of the Royal Statistical Society, B</EM>, <B>47</B>, 1&ndash;52.
</p>


<h3>References</h3>


<p>Davison, A.C. and Hinkley, D.V. (1997) 
<EM>Bootstrap Methods and Their Application</EM>. Cambridge University Press.
</p>
<p>Venables, W.N. and Ripley, B.D. (1994) 
<EM>Modern Applied Statistics with S-Plus</EM>. Springer-Verlag.
</p>


<h3>See Also</h3>


<p><code>mcycle</code>
</p>


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