autocorr_features: The autocorrelation feature set from software package 'hctsa'

In tsfeatures: Time Series Feature Extraction

The autocorrelation feature set from software package hctsa

Description

Calculate the features that grouped as autocorrelation set, which have been used in CompEngine database, using method introduced in package hctsa.

Usage

autocorr_features(x)

Arguments

x	the input time series

Details

Features in this set are embed2_incircle_1, embed2_incircle_2, ac_9, firstmin_ac, trev_num, motiftwo_entro3, and walker_propcross.

Value

a vector with autocorrelation features

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).

See Also

embed2_incircle

ac_9

firstmin_ac

trev_num

motiftwo_entro3

walker_propcross

tsfeatures documentation built on Aug. 28, 2023, 5:09 p.m.