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<h1>residuals
</h1>

<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../../../up.png"></a></h2>
<div class="box"><strong>Residuals (or a few other things) from a locfit() fit.</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../../../up.png"></a></h2>
<div class="box"><strong>function y = residuals(fit,type) </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"> Residuals (or a few other things) from a locfit() fit.

 Input arguments:
   fit - the locfit() fit.
   type (optional) type of residuals. Valid types are
     'dev'    (deviance, the default)
     'd2'     (deviance squared)
     'pearson'(Pearson)
     'raw'    (observed - fitted)
     'ldot'   (derivative of log-likelihood)
     'lddot'  (second derivative)
     'fit'    (fitted values - no transformation)
     'mean'   (fitted values - with back transformation)

  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="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="../../../chronux_2_10/locfit/Book/fig2_5.html" class="code" title="">fig2_5</a>	Local Regression and Likelihood, Figure 2.5.</li><li><a href="../../../chronux_2_10/locfit/Book/fig4_3.html" class="code" title="">fig4_3</a>	Local Regression and Likelihood, Figure 4.3.</li><li><a href="../../../chronux_2_10/locfit/Book/fig6_3.html" class="code" title="">fig6_3</a>	Local Regression and Likelihood, Figure 6.3.</li><li><a href="../../../chronux_2_10/locfit/Book/fig6_4.html" class="code" title="">fig6_4</a>	Local Regression and Likelihood, Figure 6.4.</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 <a name="_sub0" href="#_subfunctions" class="code">function y = residuals(fit,type)</a>
0002 
0003 <span class="comment">% Residuals (or a few other things) from a locfit() fit.</span>
0004 <span class="comment">%</span>
0005 <span class="comment">% Input arguments:</span>
0006 <span class="comment">%   fit - the locfit() fit.</span>
0007 <span class="comment">%   type (optional) type of residuals. Valid types are</span>
0008 <span class="comment">%     'dev'    (deviance, the default)</span>
0009 <span class="comment">%     'd2'     (deviance squared)</span>
0010 <span class="comment">%     'pearson'(Pearson)</span>
0011 <span class="comment">%     'raw'    (observed - fitted)</span>
0012 <span class="comment">%     'ldot'   (derivative of log-likelihood)</span>
0013 <span class="comment">%     'lddot'  (second derivative)</span>
0014 <span class="comment">%     'fit'    (fitted values - no transformation)</span>
0015 <span class="comment">%     'mean'   (fitted values - with back transformation)</span>
0016 <span class="comment">%</span>
0017 <span class="comment">%  Author: Catherine Loader.</span>
0018 
0019 <span class="keyword">if</span> (nargin&lt;2) type = <span class="string">'dev'</span>; <span class="keyword">end</span>;
0020   
0021 y = <a href="predict.html" class="code" title="function [y, se] = predict(varargin)">predict</a>(fit,<span class="string">'d'</span>,<span class="string">'restyp'</span>,type);
0022 
0023 <span class="keyword">return</span>;</pre></div>
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