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- <meta name="description" content="Local Regression and Likelihood, Figure 8.1.">
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- <h1>fig8_1
- </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 8.1.</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 8.1.
- Discrimination/Classification, simple example using
- logistic regression.
- Author: Catherine Loader
- NEED: level=0.5 for contour plot.</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/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><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>
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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 8.1.</span>
- 0002 <span class="comment">%</span>
- 0003 <span class="comment">% Discrimination/Classification, simple example using</span>
- 0004 <span class="comment">% logistic regression.</span>
- 0005 <span class="comment">%</span>
- 0006 <span class="comment">% Author: Catherine Loader</span>
- 0007 <span class="comment">%</span>
- 0008 <span class="comment">% NEED: level=0.5 for contour plot.</span>
- 0009
- 0010 load cltrain;
- 0011 fit = <a href="../../../chronux_2_10/locfit/m/locfit.html" class="code" title="function fit=locfit(varargin)">locfit</a>([x1 x2],y,<span class="string">'family'</span>,<span class="string">'binomial'</span>,<span class="string">'scale'</span>,0);
- 0012 figure(<span class="string">'Name'</span>,<span class="string">'fig8_1: logistic regression'</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 hold on;
- 0015 u = find(y==0);
- 0016 plot(x1(u),x2(u),<span class="string">'.'</span>);
- 0017 u = find(y==1);
- 0018 plot(x1(u),x2(u),<span class="string">'.'</span>,<span class="string">'color'</span>,<span class="string">'red'</span>);
- 0019 hold off;
- 0020
- 0021 py = <a href="../../../chronux_2_10/locfit/m/fitted.html" class="code" title="function y = fitted(fit)">fitted</a>(fit)>0.5;
- 0022 disp(<span class="string">'Classification table for training data'</span>);
- 0023 tabulate(10*y+py);
- 0024
- 0025 load cltest;
- 0026 py = <a href="../../../chronux_2_10/locfit/m/predict.html" class="code" title="function [y, se] = predict(varargin)">predict</a>(fit,[x1 x2])>0;
- 0027 disp(<span class="string">'Classification table for test data'</span>);
- 0028 tabulate(10*y+py);</pre></div>
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