paleodata_scaling: Function to compute scaling of the spectrum following the...

In paleovar/ptboxproxytools: PTBox proxy tools for time series processing and analysis

Function to compute scaling of the spectrum following the multi-taper methodology applied in Laepple and Huybers 2014, Rehfeld et al. 2018

Description

Function to compute scaling of the spectrum following the multi-taper methodology applied in Laepple and Huybers 2014, Rehfeld et al. 2018

Usage

paleodata_scaling(
  xin,
  freq.start = NULL,
  freq.end = NULL,
  target = "raw",
  interpolation = TRUE,
  interpolation_type = "spectral",
  interpolation_dates = NULL,
  transformation = FALSE,
  transformation_type = "normalize",
  detrend = TRUE,
  df_log = 0.05,
  bLog = FALSE
)

Arguments

xin	Proxytibble with proxy data in 'zoo::zoo' format, or irregular time series object ('zoo::zoo'), xin can be multivariate
freq.start	Vector containing the start frequencies of the fitting interval(s)
freq.end	Vector containing the start frequencies of the fitting interval(s)
target	either "raw" or "logsmooth", default "raw"
interpolation	Logical: should interpolation be applied?
interpolation_type	Parameters for interpolation (see paleodata_interpolation)
interpolation_dates	Parameters for interpolation (see paleodata_interpolation). If NULL the interpolation is set to the mean temporal resolution of each proxy time series.
transformation	Logical: should transformation be applied?
transformation_type	Parameters for transformation (see paleodata_transformation)
detrend	Logical: should time series be linearly detrend before computing the spectrum
df_log	Width of the log-smoother in log units
bLog	TRUE: average in the log space of the power, FALSE: arithmetic average

Value

List with scaling coefficient, standard deviation and spectra (object description in SpecMTM and LogSmooth functions of PaleoSpec package)

See Also

paleodata_spectrum (from 'PTBoxProxytools') for computation of spectra

SlopeFit (from 'PaleoSpec') for computation of spectral slope

Examples

# Load ice core example data
library(PTBoxProxydata)
mng <- ProxyDataManager()
icecoredata <- load_set(mng,'icecore_testset',zoo_format = 'zoo')
# compute scaling
testout <- icecoredata %>% paleodata_scaling(., target="raw")
print(testout)

paleovar/ptboxproxytools documentation built on June 9, 2025, 1:40 a.m.