`hctsa`

`R/compengine.R`

`motiftwo_entro3.Rd`

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

motiftwo_entro3(y)

y | the input time series |
---|

Entropy of words in the binary alphabet of length 3.

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).

Yangzhuoran Yang

motiftwo_entro3(WWWusage)#> [1] 1.200579