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<h1>fig6_3
</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 6.3.</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 6.3.
 Author: Catherine Loader

 Local smooth of CO2 dataset. Estimate the main trend,
 then use periodic smoothing of the residuals to estimate
 the annual effect.

 A periodic smooth is specified by 'style','a'.
 Note that year+month/12 scales the predictor to have a period
 of 1. The 'scale' argument to locfit() is period/(2*pi).</pre></div>

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<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/residuals.html" class="code" title="function y = residuals(fit,type)">residuals</a>	Residuals (or a few other things) from a locfit() fit.</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 6.3.</span>
0002 <span class="comment">% Author: Catherine Loader</span>
0003 <span class="comment">%</span>
0004 <span class="comment">% Local smooth of CO2 dataset. Estimate the main trend,</span>
0005 <span class="comment">% then use periodic smoothing of the residuals to estimate</span>
0006 <span class="comment">% the annual effect.</span>
0007 <span class="comment">%</span>
0008 <span class="comment">% A periodic smooth is specified by 'style','a'.</span>
0009 <span class="comment">% Note that year+month/12 scales the predictor to have a period</span>
0010 <span class="comment">% of 1. The 'scale' argument to locfit() is period/(2*pi).</span>
0011 
0012 load co2;
0013 fit1 = <a href="../../../chronux_2_10/locfit/m/locfit.html" class="code" title="function fit=locfit(varargin)">locfit</a>(year+month/12,co2,<span class="string">'alpha'</span>,0.5,<span class="string">'deg'</span>,1);
0014 res = <a href="../../../chronux_2_10/locfit/m/residuals.html" class="code" title="function y = residuals(fit,type)">residuals</a>(fit1);
0015 fit2 = <a href="../../../chronux_2_10/locfit/m/locfit.html" class="code" title="function fit=locfit(varargin)">locfit</a>(year+month/12,res,<span class="string">'alpha'</span>,[0 2],<span class="string">'style'</span>,<span class="string">'a'</span>,<span class="string">'scale'</span>,1/(2*pi));
0016 figure(<span class="string">'Name'</span>,<span class="string">'fig6_3: CO2 Dataset: Local smoothing'</span> );
0017 <a href="../../../chronux_2_10/locfit/m/lfplot.html" class="code" title="function lfplot(varargin)">lfplot</a>(fit2,<span class="string">'nodata'</span>);</pre></div>
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