ar1Surrogates: Create a synthetic timeseries that emulates the...

In nickmckay/GeoChronR: Tools to Analyze and Visualize Time-Uncertain Data

Create a synthetic timeseries that emulates the characteristics of a variable

Description

create synthetic timeseries based on a timeseries. Useful for null hypothesis testing

Usage

ar1Surrogates(time, vals, detrend = TRUE, method = "redfit", n.ens = 1)

Arguments

time	LiPD "variable list" or vector of year/age values
vals	LiPD "variable list" or vector of values
detrend	boolean variable, indicating whether one should remove a linear trend (default) or not. Note: does not affect the AR(1) fit, but does affect the generated timeseries
method	Method used for estimation. Possible values are "even" or "redfit"
n.ens	Number of ensemble members to simulate

Value

a vector or matrix of AR(1) surrogates for series X

See Also

Other spectra: computeSpectraEns(), createSyntheticTimeseries(), periodAnnotate(), plotSpectrum(), reverselog10_trans()

Other pca: createSyntheticTimeseries(), pcaEns(), plotPcaEns(), plotScreeEns()

Other correlation: ar1(), corMatrix, effectiveN(), plotCorEns(), pvalMonteCarlo(), pvalPearsonSerialCorrected()

nickmckay/GeoChronR documentation built on April 9, 2024, 5:26 a.m.