WaverideR (version 0.4.1)

completed_series: Complete the tracking of cycle in a wavelet spectra

Description

Use the traced series and the existing wavelet spectra to complete the tracking of a cycle of the wavelet spectra. The selected points using the track_period_wavelet function form a incomplete line unless every point is tracked. However clicking every individual point along a wavelet ridge is time intensive and error prone. To avoid errors and save time the completed_series function can be used to complete the tracing of a cycle in a wavelet spectra.The completed_series function interpolates the data points selected using the track_period_wavelet. A a search a algorithm then looks up and replaces the interpolated curve values with the values of the nearest spectral peak in the wavelet spectra.

Usage

completed_series(
  wavelet = NULL,
  tracked_curve = NULL,
  period_up = 1.2,
  period_down = 0.8,
  extrapolate = TRUE,
  genplot = FALSE,
  keep_editable = FALSE
)

Value

Returns a matrix with 2 columns The first column is the depth axis The second column is the completed tracking of the period a cycle of the wavelet spectra

Arguments

wavelet

Wavelet object created using the analyze_wavelet function.

tracked_curve

Traced period result from the track_period_wavelet function.

period_up

The period_up parameter is the factor with which the linear interpolated tracked_curve curve is multiplied by. This linear interpolated tracked_curve multiplied by the period_up factor is the upper boundary which is used for detecting the spectral peak nearest to the linear interpolated tracked_curve curve. If no spectral peak is detected within the specified boundary the interpolated value is used instead. between spectral peaks Default=1.2,

period_down

The period_down parameter is the factor with which the linear interpolated tracked_curve curve is multiplied by. This linear interpolated tracked_curve multiplied by the period_down factor is the lower boundary which is used for detecting the spectral peak nearest to the linear interpolated tracked_curve curve. If no spectral peak is detected within the specified boundary the interpolated value is used instead. between spectral peaks Default=0.8,

extrapolate

Extrapolate the completed curve when through parts where no spectral peaks could be traced Default=TRUE.

genplot

Generate a plot Default=TRUE. The red curve is the completed curve, the black curve is the original curve.

keep_editable

Keep option to add extra features after plotting Default=FALSE

Examples

# \donttest{
#Use the grey_track example points to complete the tracking of the
# precession cycle in the wavelet spectra of the grey scale data set
# of Zeeden et al., (2013).



grey_wt <-
 analyze_wavelet(
   data = grey,
   dj = 1/200,
   lowerPeriod = 0.02,
   upperPeriod = 256,
   verbose = FALSE,
   omega_nr = 8
 )

#The ~22kyr precession cycle is between 0.25 and 1m The grey_track data
#set is a pre-loaded uncompleted tracking of the precession cycle

#grey_track <- track_period_wavelet(
#astro_cycle = 22,
#wavelet = NULL,
#n.levels = 100,
#periodlab = "Period (meters)",
#x_lab = "depth (meters)"
#)



grey_track <- completed_series(
 wavelet = grey_wt,
 tracked_curve  = grey_track,
 period_up  = 1.25,
 period_down  = 0.75,
 extrapolate = TRUE,
genplot = FALSE,
keep_editable=FALSE
)

# }