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  <title>Description of scb</title>
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<h1>scb
</h1>

<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../../../up.png"></a></h2>
<div class="box"><strong>Simultaneous Confidence Bands</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 z=scb(x,y,varargin) </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"> Simultaneous Confidence Bands

 Example:
   load ethanol;
   z = scb(E,NOx,'h',0.5);

 result (z) is a matrix with four columns: evaluation points,
 fitted values, lower confidence limit, upper confidence limit.
 Most locfit arguments should work.</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="kappa0.html" class="code" title="function kap=kappa0(x,y,varargin)">kappa0</a>	Compute the constants for `tube-formula' based simultaneous</li><li><a href="locfit.html" class="code" title="function fit=locfit(varargin)">locfit</a>	Smoothing noisy data using Local Regression and Likelihood.</li><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/spectral_analysis/helper/den_jack.html" class="code" title="function [m,ll,ul,llj,ulj]=den_jack(X,family,varargin)">den_jack</a>	Function to compute smooth estimates of the mean of x using locfit,</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 z=scb(x,y,varargin)</a>
0002 
0003 <span class="comment">% Simultaneous Confidence Bands</span>
0004 <span class="comment">%</span>
0005 <span class="comment">% Example:</span>
0006 <span class="comment">%   load ethanol;</span>
0007 <span class="comment">%   z = scb(E,NOx,'h',0.5);</span>
0008 <span class="comment">%</span>
0009 <span class="comment">% result (z) is a matrix with four columns: evaluation points,</span>
0010 <span class="comment">% fitted values, lower confidence limit, upper confidence limit.</span>
0011 <span class="comment">% Most locfit arguments should work.</span>
0012 
0013 fit = <a href="locfit.html" class="code" title="function fit=locfit(varargin)">locfit</a>(x,y,<span class="string">'ev'</span>,<span class="string">'grid'</span>,<span class="string">'mg'</span>,20,varargin{:});
0014 kap = <a href="kappa0.html" class="code" title="function kap=kappa0(x,y,varargin)">kappa0</a>(x,y,varargin{:});
0015 cb = <a href="predict.html" class="code" title="function [y, se] = predict(varargin)">predict</a>(fit,<span class="string">'fitp'</span>,<span class="string">'band'</span>,<span class="string">'g'</span>,<span class="string">'kappa'</span>,kap);
0016 z = [fit.fit_points.evaluation_points' cb{1} cb{3}];
0017 
0018 <span class="keyword">return</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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