lombscargle: Lomb-Scargle Periodogram estimation

In bwrc/colibri: Platform for automating analyses of physiological time series in R.

Description

This code is adapted from the function lomb.m from http://www.mit.edu/~gari/CODE/HRV/CliffordHRVtools.zip.

Usage

lombscargle(x, t, f = NULL, smooth = FALSE, smooth.kernel = "daniell",
  smooth.degree = 5, normalization = "none", ofac = 4, hifac = 1)

Arguments

x	A vector with the events to be enalysed.
t	A vector with the time instants of the events.
f	A vector of frequencies at which the spectrum should be estimated.
smooth	Should the spectrum be smoothed. Default is FALSE.
smooth.kernel	The smoothing kernel. The default is to use a 'daniell' kernel.
smooth.degree	The degree of smoothing. Default is 5.
normalization	How to normalize the spectrum. Possible values are 'none' (default) and 'variance'. If 'none' the area of the power spectrum equals the variance of the signal. For 'variance', the area of the power spectrum is normalized by dividing by two times the variance of the signal.
ofac	Oversampling factor. Default is 4.
hifac	The spectrum is calculated for frequencies up to hifac * average sampling frequency. Default is 1.

Value

A list with the following components.

f

The frequencies at which the spectrum was estimated.

Px

The power at the frequencies in f.

Prob

The probability of the power in a particular frequency band

See Also

http://www.ltrr.arizona.edu/~dmeko/notes_6.pdf https://onlinecourses.science.psu.edu/stat510/?q=book/export/html/57 http://reference.wolfram.com/applications/timeseries/UsersGuideToTimeSeries/SpectralAnalysis/1.8.4.html

Other HRV frequency-domain: analyse_frequencydomain_helper, analyse_frequencydomain, ibi_band_custom, ibi_band_standard

bwrc/colibri documentation built on May 13, 2019, 9:10 a.m.