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<html><head><title>xzero</title></head><body bgcolor=white><h1 align=center>Description of the program: <font color=Blue>xzero</font></h1><hr>This program takes two data sets (i.e. two columns in a single datafile)and fits a zeroth order model of dataset 1 to predict data set 2 (cross prediction). It then computes the error of the model. This is done by searching for all neighbors in set1 of the points of set 2 which should be forecasted and taking astheir images the average of the images of the neighbors. The givenforecast error is normalized to the variance of data set 2.<hr><h2 align=center>Usage:</h2><center><font color=Red>xzero [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#columns>columns to be read</a> (separated by a comma)<td>1,2</tr><tr><th>-m#<td>embedding dimension<td>3</tr><tr><th>-d#<td>delay for the embedding<td>1</tr><tr><th>-n#<td>for how many points should the error be calculated<td>all</tr><tr><th>-k#<td>minimal numbers of neighbors for the fit<td>30</tr><tr><th>-r#<td>neighborhood size to start with<td>(data interval)/1000</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<sup>2</sup><sub>n+steps</sub>=av(x<sup>1</sup><sub>i+steps</sub>)<td>1</tr><tr><th>-o#<td><a href=../general.html#outfile>output file name</a><td>without file name: 'datafile'.cze<br>(or stdin.cze if stdin was read)<br>If no -o is 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 <font color=blue>s</font> lines, each of whichcontaining the steps forecasted (first column) and the relativeforecast error (second column). Relative means that the forecast erroris devided by the standard deviation of the second (the one which isforecasted) data set.<hr>View the <a href="../../source_c/xzero.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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