analyze_wavelet function

Analyze Wavelet from View object

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().

Returns

an analyze.wavelet object.

Examples

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

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()