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<html><head><title>Local slopes from correlation sums</title></head><body bgcolor="#ffffff"><h3>Local slopes from correlation sums</h3><font color=blue><tt>c2d [-a# -o </tt><em>outfile</em><tt> -V# -h] </tt><em> file</em></font><blockquote> <br> <font color=blue><tt> -o </tt></font><a href=../general.html#outfile>output file name</a>, just <font color=blue><tt> -o </tt></font>means <font color=blue><em>file</em></font><font color=blue><tt>_d</tt></font> <br> <font color=blue><tt> -a </tt></font>average using -#,...,+# (1) <br> <font color=blue><tt> -V </tt></font><a href=../general.html#verbosity>verbosity level</a> (0 = only fatal errors) <br> <font color=blue><tt> -h </tt></font>show this message</blockquote>Reads two columns, r(i), c(i) from <font color=blue><em>file</em></font> (correlation integral output of <a href="c2naive.html">c2naive</a>,<a href="c1.html">c1</a>,or <a href="../docs_c/d2.html">d2</a>)and computes local slopes by fitting straight lines. The range of the fitsis specified by the option <font color=blue><tt> -a </tt></font>. For thelocal slope at abscissa r(i), the values c(i-a), ..., c(i+a) are used,where a is the argument to the <font color=blue> -a</font> option.<p>Output is to <font color=blue><tt>stdout</tt></font>, or to file <font color=blue><em>file</em><tt>_d</tt></font> if <font color=blue><tt> -o</tt></font> is given.<p>Alternatives to local slopes are Takens' estimator <a href="c2t.html">c2t</a>or to use Gaussian kernel smoothing <a href="c2g.html">c2g</a> before computing slopes.<p><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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