WaverideR (version 0.4.1)

minimal_tuning: Create an age model using minimal tuning

Description

Create an age model using the minimal tuning technique. This means that the distance between 2 peaks of an extracted cycle are set to duration of the interpreted astronomical cycle

Usage

minimal_tuning(
  data = NULL,
  pts = 5,
  cycle = 405,
  tune_opt = "max",
  output = 0,
  genplot = FALSE,
  keep_editable = FALSE
)

Value

The output depends on the output setting If output = 0 output is a matrix of with 4 columns being (depth,proxy,sedimentation rate and time) If genplot = TRUE 4 plots are generated; depth vs proxy, depth vs sedimentation rate, depth vs time and time vs proxy If output = 1 output is a matrix of with 2 columns being (depth and sedimentation rate ) If genplot = TRUE a plot of depth vs sedimentation rate is generated If output = 2 output is a matrix of with 2 columns being (depth and time) If genplot = TRUE a plot of depth vs time is generated

Arguments

data

Input is an cycle extracted filtered in the depth domain

pts

The pts parameter specifies how many points to the left/right up/down the peak detect algorithm goes in detecting a peak. The peak detecting algorithm works by comparing the values left/right up/down of it, if the values are both higher or lower then the value a peak. To deal with error produced by this algorithm the pts parameter can be changed which can aid in peak detection. Usually increasing the pts parameter means more peak certainty, however it also means that minor peaks might not be picked up by the algorithm Default=5

cycle

duration in kyr of the filtered/extracted cycle

tune_opt

tuning options "min", "max" and "minmax" use minima, maxima or both of the cyclic signal to create the age model Default="max"

output

#'The output depends on the output setting If output = 0 output is a matrix of with 4 columns being; depth,proxy,sedimentation rate and time If output = 1 output is a matrix of with 2 columns being; depth and sedimentation rate #'If output = 2 output is a matrix of with 2 columns being; depth and time

genplot

Keep option to add extra features after plotting Default=FALSE

keep_editable

Keep option to add extra features after plotting Default=FALSE

Author

Part of the code is based on the sedrate2time function of the 'astrochron' R package

References

Routines for astrochronologic testing, astronomical time scale construction, and time series analysis <doi:10.1016/j.earscirev.2018.11.015>

Examples

# \donttest{
# Extract the 405kyr eccentricity cycle from the wavelet scalogram
# from the magnetic susceptibility record f the Sullivan core
# of Pas et al., (2018) and then create a age model using minimal tuning
# (e.g.) set the distance between peaks to 405 kyr

mag_wt <- analyze_wavelet(data = mag,
dj = 1/100,
lowerPeriod = 0.1,
upperPeriod = 254,
verbose = FALSE,
omega_nr = 10)


mag_405 <- extract_signal_stable_V2(
 wavelet = mag_wt,
 period_max = 4,
 period_min = 2,
 add_mean = FALSE,
 plot_residual = FALSE,
 keep_editable = FALSE
)

mag_405_min_tuning <- minimal_tuning(data = mag_405,
pts = 5,
cycle = 405,
tune_opt = "max",
output = 0,
genplot = FALSE,
keep_editable = FALSE)


# }