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embed2_incircle

Points inside a given circular boundary in a 2-d embedding space from software package hctsa

Description

The time lag is set to the first zero crossing of the autocorrelation function.

Usage

embed2_incircle(
  y,
  boundary = NULL,
  acfv = stats::acf(y, length(y) - 1, plot = FALSE, na.action = na.pass)
)

Arguments

y

the input time series
boundary

the given circular boundary, setting to 1 or 2 in CompEngine. Default to 1.
acfv

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

Value

the proportion of points inside a given circular boundary

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

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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