sa2fd_dfa: Informed Dimension estimate from DFA slope (H)
In FredHasselman/casnet: A Toolbox for Studying Complex Adaptive Systems and Networks
sa2fd_dfa R Documentation
Informed Dimension estimate from DFA slope (H)
Description
Conversion formula: Detrended Fluctuation Analysis (DFA) estimate of the Hurst exponent (a self-affinity parameter sa) to an informed estimate of the (fractal) dimension (FD).
Usage
sa2fd_dfa(sa, ...)
Arguments
sa
Self-Afinity parameter estimate based on DFA slope (e.g., fd_sda())).
...
Other arguments
Details
The DFA slope (H) will be converted to a dimension estimate using:
D_{DFA}\approx 2-(\tanh(\log(3)*sa))
Value
An informed estimate of the Fractal Dimension, see Hasselman(2013) for details.
Author(s)
Fred Hasselman
References
Hasselman, F. (2013). When the blind curve is finite: dimension estimation and model inference based on empirical waveforms. Frontiers in Physiology, 4, 75. https://doi.org/10.3389/fphys.2013.00075
FredHasselman/casnet documentation built on June 14, 2024, 6:35 p.m.
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| sa2fd_dfa | R Documentation |
Informed Dimension estimate from DFA slope (H)
Description
Conversion formula: Detrended Fluctuation Analysis (DFA) estimate of the Hurst exponent (a self-affinity parameter sa) to an informed estimate of the (fractal) dimension (FD).
Usage
sa2fd_dfa(sa, ...)
Arguments
sa |
Self-Afinity parameter estimate based on DFA slope (e.g., |
... |
Other arguments |
Details
The DFA slope (H) will be converted to a dimension estimate using:
D_{DFA}\approx 2-(\tanh(\log(3)*sa))
Value
An informed estimate of the Fractal Dimension, see Hasselman(2013) for details.
Author(s)
Fred Hasselman
References
Hasselman, F. (2013). When the blind curve is finite: dimension estimation and model inference based on empirical waveforms. Frontiers in Physiology, 4, 75. https://doi.org/10.3389/fphys.2013.00075
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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