sampen_first: Second Sample Entropy of a time series from software package...
In tsfeatures: Time Series Feature Extraction
sampen_first R Documentation
Second Sample Entropy of a time series from software package hctsa
Description
Modified from the Ben Fulcher's EN_SampEn which uses code from PhysioNet.
The publicly-available PhysioNet Matlab code, sampenc (renamed here to
RN_sampenc) is available from:
http://www.physionet.org/physiotools/sampen/matlab/1.1/sampenc.m
Usage
sampen_first(y)
Arguments
y
the input time series
Details
Embedding dimension is set to 5.
The threshold is set to 0.3.
Author(s)
Yangzhuoran Yang
References
cf. "Physiological time-series analysis using approximate entropy and sample
entropy", J. S. Richman and J. R. Moorman, Am. J. Physiol. Heart Circ.
Physiol., 278(6) H2039 (2000)
B.D. Fulcher and N.S. Jones. hctsa: A computational framework for automated time-series phenotyping using massive feature extraction. Cell Systems 5, 527 (2017).
B.D. Fulcher, M.A. Little, N.S. Jones Highly comparative time-series analysis: the empirical structure of time series and their methods. J. Roy. Soc. Interface 10, 83 (2013).
tsfeatures documentation built on Aug. 28, 2023, 5:09 p.m.
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.
| sampen_first | R Documentation |
Second Sample Entropy of a time series from software package hctsa
Description
Modified from the Ben Fulcher's EN_SampEn which uses code from PhysioNet.
The publicly-available PhysioNet Matlab code, sampenc (renamed here to
RN_sampenc) is available from:
http://www.physionet.org/physiotools/sampen/matlab/1.1/sampenc.m
Usage
sampen_first(y)
Arguments
y |
the input time series |
Details
Embedding dimension is set to 5. The threshold is set to 0.3.
Author(s)
Yangzhuoran Yang
References
cf. "Physiological time-series analysis using approximate entropy and sample entropy", J. S. Richman and J. R. Moorman, Am. J. Physiol. Heart Circ. Physiol., 278(6) H2039 (2000)
B.D. Fulcher and N.S. Jones. hctsa: A computational framework for automated time-series phenotyping using massive feature extraction. Cell Systems 5, 527 (2017).
B.D. Fulcher, M.A. Little, N.S. Jones Highly comparative time-series analysis: the empirical structure of time series and their methods. J. Roy. Soc. Interface 10, 83 (2013).
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.