motiftwo_entro3: Local motifs in a binary symbolization of the time series...

Description Usage Arguments Value Author(s) References Examples

View source: R/compengine.R

Description

Coarse-graining is performed. Time-series values above its mean are given 1, and those below the mean are 0.

Usage

1

Arguments

y

the input time series

Value

Entropy of words in the binary alphabet of length 3.

Author(s)

Yangzhuoran Yang

References

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).

Examples

1

tsfeatures documentation built on July 1, 2020, 7:12 p.m.