analyze_wavelet {movementsync}

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
)

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().

Value

an analyze.wavelet object.

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

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