spreadrandomlocal_meantaul: Bootstrap-based stationarity measure from software package...

Description Usage Arguments Value Author(s) References

View source: R/compengine.R

Description

100 time-series segments of length l are selected at random from the time series and the mean of the first zero-crossings of the autocorrelation function in each segment is calculated.

Usage

1

Arguments

y

the input time series

l

the length of local time-series segments to analyse as a positive integer. Can also be a specified character string: "ac2": twice the first zero-crossing of the autocorrelation function

Value

mean of the first zero-crossings of the autocorrelation function

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).


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