binarize_mean: Converts an input vector into a binarized version from...
In robjhyndman/tsfeatures: Time Series Feature Extraction
binarize_mean R Documentation
Converts an input vector into a binarized version from software package hctsa
Description
Converts an input vector into a binarized version from software package hctsa
Usage
binarize_mean(y)
Arguments
y
the input time series
Value
Time-series values above its mean are given 1, and those below the mean are 0.
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).
robjhyndman/tsfeatures documentation built on Aug. 31, 2023, 3:18 p.m.
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| binarize_mean | R Documentation |
Converts an input vector into a binarized version from software package hctsa
Description
Converts an input vector into a binarized version from software package hctsa
Usage
binarize_mean(y)
Arguments
y |
the input time series |
Value
Time-series values above its mean are given 1, and those below the mean are 0.
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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