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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

Value

a vector with autocorrelation features

Details

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

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).

Author

Yangzhuoran Yang