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<h1>fig7_2
</h1>

<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../../../up.png"></a></h2>
<div class="box"><strong>Local Regression and Likelihood, Figure 7.2.</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../../../up.png"></a></h2>
<div class="box"><strong>This is a script file. </strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../../../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Local Regression and Likelihood, Figure 7.2.

 Conditional Hazard Rate Estimation.
 When hazard rate estimation is performed with multiple x variables,
 the result is an estimate of the conditional hazard rate for the
 first variable, given the levels of the remaining variables.

 The surface plot looks more dramatic than the contour plot in the book!

 Author: Catherine Loader</pre></div>

<!-- crossreference -->
<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../../../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../../../matlabicon.gif)">
<li><a href="../../../chronux_2_10/locfit/m/lfplot.html" class="code" title="function lfplot(varargin)">lfplot</a>	Plot (for one or two dimensions) a locfit() fit.</li><li><a href="../../../chronux_2_10/locfit/m/locfit.html" class="code" title="function fit=locfit(varargin)">locfit</a>	Smoothing noisy data using Local Regression and Likelihood.</li></ul>
This function is called by:
<ul style="list-style-image:url(../../../matlabicon.gif)">
<li><a href="runbook.html" class="code" title="">runbook</a>	</li></ul>
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<h2><a name="_source"></a>SOURCE CODE <a href="#_top"><img alt="^" border="0" src="../../../up.png"></a></h2>
<div class="fragment"><pre>0001 <span class="comment">% Local Regression and Likelihood, Figure 7.2.</span>
0002 <span class="comment">%</span>
0003 <span class="comment">% Conditional Hazard Rate Estimation.</span>
0004 <span class="comment">% When hazard rate estimation is performed with multiple x variables,</span>
0005 <span class="comment">% the result is an estimate of the conditional hazard rate for the</span>
0006 <span class="comment">% first variable, given the levels of the remaining variables.</span>
0007 <span class="comment">%</span>
0008 <span class="comment">% The surface plot looks more dramatic than the contour plot in the book!</span>
0009 <span class="comment">%</span>
0010 <span class="comment">% Author: Catherine Loader</span>
0011 
0012 load livmet;
0013 fit = <a href="../../../chronux_2_10/locfit/m/locfit.html" class="code" title="function fit=locfit(varargin)">locfit</a>([t dm],<span class="string">'cens'</span>,1-z,<span class="string">'scale'</span>,0,<span class="string">'deg'</span>,1,<span class="string">'family'</span>,<span class="string">'hazard'</span>,<span class="string">'alpha'</span>,0.5,<span class="string">'xlim'</span>,[0 1;10000 20]);
0014 figure(<span class="string">'Name'</span>,<span class="string">'fig7_2: Conditional hazard rate estimation'</span> );
0015 <a href="../../../chronux_2_10/locfit/m/lfplot.html" class="code" title="function lfplot(varargin)">lfplot</a>(fit);
0016 xlabel(<span class="string">'Survival Time (Months)'</span>);
0017 ylabel(<span class="string">'Diameter (c.m.)'</span>);
0018 zlabel(<span class="string">'Hazard Rate'</span>);</pre></div>
<hr><address>Generated on Fri 12-Aug-2011 11:36:15 by <strong><a href="http://www.artefact.tk/software/matlab/m2html/" target="_parent">m2html</a></strong> &copy; 2005</address>
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