plotLocalScalingExp

Plots the local scaling exponents of the correlation sum or 
the average Shannon information (when computing information dimension).

Functions for nonlinear time series analysis. This package permits
the computation of the  most-used nonlinear statistics/algorithms
including generalized correlation dimension, information dimension,
largest Lyapunov exponent, sample entropy and Recurrence
Quantification Analysis (RQA), among others. Basic routines
for surrogate data testing are also included. Part of this work
was based on the  book "Nonlinear time series analysis" by
Holger Kantz and Thomas Schreiber (ISBN: 9780521529020).

Constantino A. Garcia

nonlinearTseries

Nonlinear Time Series Analysis

Gunther Sawitzki

plotLocalScalingExp function

<dl><dt>x</dt>
<dd>An object containing all the information needed for the estimate of
the chaotic invariant.</dd>
<dt>...</dt>
<dd>Additional graphical parameters.</dd></dl>

Arguments

Author

Plot local scaling exponents — plotLocalScalingExp

<dl>

<dt>x</dt>
<dd>An object containing all the information needed for the estimate of
the chaotic invariant.</dd>


<dt>...</dt>
<dd>Additional graphical parameters.</dd>

</dl>

plotLocalScalingExp: Plot local scaling exponents

Description

Usage

Arguments

Author

References