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- <title>Description of scb</title>
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- <meta name="description" content="Simultaneous Confidence Bands">
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- <h1>scb
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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>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>
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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="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>
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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 <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>
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