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  <title>Description of fig9_2</title>
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  <meta name="description" content="Local Regression and Likelihood, Figure 9.2.">
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<h1>fig9_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 9.2.</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 9.2.

 Hardle's Motorcycle accelaration dataset.
 Local Variance Estimation.

 Author: Catherine Loader

 NEED: lfknots function to extract fit points.</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><li><a href="../../../chronux_2_10/locfit/m/predict.html" class="code" title="function [y, se] = predict(varargin)">predict</a>	Interpolate a fit produced by locfit().</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>
<!-- crossreference -->


<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 9.2.</span>
0002 <span class="comment">%</span>
0003 <span class="comment">% Hardle's Motorcycle accelaration dataset.</span>
0004 <span class="comment">% Local Variance Estimation.</span>
0005 <span class="comment">%</span>
0006 <span class="comment">% Author: Catherine Loader</span>
0007 <span class="comment">%</span>
0008 <span class="comment">% NEED: lfknots function to extract fit points.</span>
0009 
0010 load mcyc;
0011 fit = <a href="../../../chronux_2_10/locfit/m/locfit.html" class="code" title="function fit=locfit(varargin)">locfit</a>(time,<span class="string">'y'</span>,accel,<span class="string">'nn'</span>,0.1);
0012 y = -2*<a href="../../../chronux_2_10/locfit/m/predict.html" class="code" title="function [y, se] = predict(varargin)">predict</a>(fit,<span class="string">'fitp'</span>,<span class="string">'what'</span>,<span class="string">'lik'</span>);
0013 w = <a href="../../../chronux_2_10/locfit/m/predict.html" class="code" title="function [y, se] = predict(varargin)">predict</a>(fit,<span class="string">'fitp'</span>,<span class="string">'what'</span>,<span class="string">'rdf'</span>);
0014 x = fit.fit_points.evaluation_points';
0015 [x y w]
0016 fitv = <a href="../../../chronux_2_10/locfit/m/locfit.html" class="code" title="function fit=locfit(varargin)">locfit</a>(x,y,<span class="string">'weights'</span>,w,<span class="string">'family'</span>,<span class="string">'gamma'</span>,<span class="string">'nn'</span>,0.4);
0017 figure(<span class="string">'Name'</span>,<span class="string">'fig9_2: Motorcycle acceleration'</span>);
0018 <a href="../../../chronux_2_10/locfit/m/lfplot.html" class="code" title="function lfplot(varargin)">lfplot</a>(fitv);
0019 xlabel(<span class="string">'Time'</span>);
0020 ylabel(<span class="string">'Variance'</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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