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- <meta name="description" content="Local Regression and Likelihood, Figure 6.5.">
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- <h1>fig6_5
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- <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 6.5.</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 6.5.
- Author: Catherine Loader
- Local smooth of CO2 dataset.
- Use bivariate fit to capture the two trends.
- bonus plot: fitted values vs year.</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/fitted.html" class="code" title="function y = fitted(fit)">fitted</a> Fitted values from a locfit object.</li><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:
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- <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 6.5.</span>
- 0002 <span class="comment">% Author: Catherine Loader</span>
- 0003 <span class="comment">%</span>
- 0004 <span class="comment">% Local smooth of CO2 dataset.</span>
- 0005 <span class="comment">% Use bivariate fit to capture the two trends.</span>
- 0006 <span class="comment">%</span>
- 0007 <span class="comment">% bonus plot: fitted values vs year.</span>
- 0008
- 0009 load co2;
- 0010 fit = <a href="../../../chronux_2_10/locfit/m/locfit.html" class="code" title="function fit=locfit(varargin)">locfit</a>([month year+month/12],co2,<span class="string">'alpha'</span>,0.2,<span class="string">'style'</span>,<span class="string">'an'</span>,<span class="string">'scale'</span>,[6/pi,10]);
- 0011
- 0012 figure(<span class="string">'Name'</span>,<span class="string">'fig6_5a: Local smoothing'</span>);
- 0013 <a href="../../../chronux_2_10/locfit/m/lfplot.html" class="code" title="function lfplot(varargin)">lfplot</a>(fit,<span class="string">'contour'</span>);
- 0014 xlabel(<span class="string">'Month'</span>);
- 0015 ylabel(<span class="string">'Year'</span>);
- 0016
- 0017 figure(<span class="string">'Name'</span>,<span class="string">'fig6_5b: Local smoothing'</span>);
- 0018 plot(year+month/12,<a href="../../../chronux_2_10/locfit/m/fitted.html" class="code" title="function y = fitted(fit)">fitted</a>(fit));
- 0019 xlabel(<span class="string">'Year'</span>);
- 0020 ylabel(<span class="string">'CO_2'</span>);
- 0021</pre></div>
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