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movementsync (version 0.1.5)

analyze_wavelet: Analyze Wavelet from View object

Description

Analyze Wavelet from View object

Usage

analyze_wavelet(
  obj,
  column,
  loess.span = 0,
  dj = 1/20,
  lowerPeriod = 2/obj$recording$fps,
  upperPeriod = 5,
  make.pval = TRUE,
  method = "white.noise",
  params = NULL,
  n.sim = 1,
  date.format = NULL,
  date.tz = NULL,
  verbose = TRUE
)

Value

an analyze.wavelet object.

Arguments

obj

View object.

column

Column in view to analyse.

loess.span

parameter alpha in loess controlling the degree of time series smoothing, if the time series is to be detrended; no detrending if loess.span = 0. Default: 0.

dj

frequency resolution. Default 1/20.

lowerPeriod

lower Fourier period in seconds. Defaults to 2/fps.

upperPeriod

upper Fourier period in seconds. Defaults to 5s.

make.pval

see WaveletComp::analyze.wavelet().

method

see WaveletComp::analyze.wavelet().

params

see WaveletComp::analyze.wavelet().

n.sim

number of simulations (default 1).

date.format

see WaveletComp::analyze.wavelet().

date.tz

see WaveletComp::analyze.wavelet().

verbose

see WaveletComp::analyze.wavelet().

See Also

Other wavelet functions: analyze_coherency(), get_local_max_average_power(), plot_average_coherency(), plot_average_power(), plot_cross_spectrum(), plot_cwt_energy(), plot_phase_difference(), plot_power_spectrum(), plot_roll_resultant_length(), plot_sel_phases(), plot_wt_energy()

Examples

Run this code
r <- get_sample_recording()
rv <- get_raw_view(r, "Central", "", "Sitar")
pv <- get_processed_view(rv)
w <- analyze_wavelet(pv, "Nose_y")

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