spreadrandomlocal_meantaul: Bootstrap-based stationarity measure from software package...
In tsfeatures: Time Series Feature Extraction
spreadrandomlocal_meantaul R Documentation
Bootstrap-based stationarity measure from software package hctsa
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
spreadrandomlocal_meantaul(y, l = 50)
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 Aug. 28, 2023, 5:09 p.m.
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| spreadrandomlocal_meantaul | R Documentation |
Bootstrap-based stationarity measure from software package hctsa
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
spreadrandomlocal_meantaul(y, l = 50)
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).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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