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<html><head><title>onestep</title></head><body bgcolor=white><h1 align=center>Description of the program: <font color=Blue>ll-ar</font></h1><hr>This program makes a local linear ansatz and estimates the one stepprediction error of the model. The difference to <a href="onestep.html">onestep</a> is that it does it as a <a href="../chaospaper/node20.html#casdagli">function of the neighborhood size</a> (see <a href="../chaospaper/citation.html#casdagli91"> Casdagli</a>).<p><b>ll-ar</b> means something like <b>local-linear -› AR-model</b><hr><h2 align=center>Usage:</h2><center><font color=Red>ll-ar [Options]</font><p>Everything not being a valid option will be interpreted as a potential datafile name. Given no datafile at all, means read stdin. Also <font color=Red>-</font> means stdin<p>Possible options are:<p><table border=2><tr><th>Option<th>Description<th>Default</tr><tr><th>-l#<td>number of points to use<td>whole file</tr><tr><th>-x#<td>number of lines to be ignored<td>0</tr><tr><th>-c#<td><a href=../general.html#column>column to be read</a><td>1</tr><tr><th>-m#<td>embedding dimension<td>2</tr><tr><th>-d#<td>delay for the embedding<td>1</tr><tr><th>-i#<td>for how many points should the error be calculated<td>all</tr><tr><th>-r#<td>neighborhood size to start with<td>(data interval)/1000</tr><tr><th>-R#<td>neighborhood size to end with<td>data interval</tr><tr><th>-f#<td>factor to increase the neighborhood size<br> if not enoughneighbors were found<td>1.2</tr><tr><th>-s#<td>steps to be forecasted (x_{n+steps}=f(\vec{x}_n))<td>1</tr><tr><th>-C#<td><a href="causality.html">width of causality window</a><td>steps to be forecasted</tr><tr><th>-o[#]<td><a href=../general.html#outfile>output file name</a><td>without filename 'datafile.ll'<br>(or stdin.ll if stdin was read)<br>with no -o given, stdout is used</tr><tr><th>-V#<td><a href=../general.html#verbosity>verbosity level</a><br> 0: only panic messages<br> 1: add input/output messages<td>1</tr><tr><th>-h<td>show these options<td>none</tr></table></center><hr><h2 align=center>Description of the Output:</h2>The output consists of 5 columns for each neighborhood size:</b><ul><li> neighborhood size (units of the data)<li> relative forecast error ((forecast error)/(variance of the data))<li> fraction of points for which neighbors were found for this neighborhood size<li> average number of neighbors found per point<li> variance of the fraction of points for which neighbors were found</ul><hr>View the <a href="../../source_c/ll-ar.c"> C-sources</a>.<hr><a href=../contents.html>Table of Contents</a> * <a href="../../index.html" target="_top">TISEAN home</a></body></html>⌨️ 快捷键说明
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