tsfeatures: sampen_first – R documentation

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sampen_first

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

Time Series Feature Extraction

v1.0.2

GPL-3

Authors

Rob Hyndman [aut, cre] (<https://orcid.org/0000-0002-2140-5352>), Yanfei Kang [aut] (<https://orcid.org/0000-0001-8769-6650>), Pablo Montero-Manso [aut], Thiyanga Talagala [aut] (<https://orcid.org/0000-0002-0656-9789>), Earo Wang [aut] (<https://orcid.org/0000-0001-6448-5260>), Yangzhuoran Yang [aut], Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Souhaib Ben Taieb [ctb], Cao Hanqing [ctb], D K Lake [ctb], Nikolay Laptev [ctb], J R Moorman [ctb]

Initial release