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firstmin_ac

Time of first minimum in the autocorrelation function from software package hctsa

Description

Time of first minimum in the autocorrelation function from software package hctsa

Usage

firstmin_ac(
  x,
  acfv = stats::acf(x, lag.max = N - 1, plot = FALSE, na.action = na.pass)
)

Arguments

x

the input time series
acfv

vector of autocorrelation, if exist, used to avoid repeated computation.

Value

The lag of the first minimum

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).

Examples

firstmin_ac(WWWusage)
tsfeatures

Time Series Feature Extraction

v1.0.2
GPL-3
Authors
Rob Hyndman [aut, cre] (<https://orcid.org/0000-0002-2140-5352>), Yanfei Kang [aut] (<https://orcid.org/0000-0001-8769-6650>), Pablo Montero-Manso [aut], Thiyanga Talagala [aut] (<https://orcid.org/0000-0002-0656-9789>), Earo Wang [aut] (<https://orcid.org/0000-0001-6448-5260>), Yangzhuoran Yang [aut], Mitchell O'Hara-Wild [aut] (<https://orcid.org/0000-0001-6729-7695>), Souhaib Ben Taieb [ctb], Cao Hanqing [ctb], D K Lake [ctb], Nikolay Laptev [ctb], J R Moorman [ctb]
Initial release

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