mtmPL {astrochron}R Documentation

Multitaper Method Spectral Analysis with Power Law (1/f) fit

Description

Multitaper Method (MTM) Spectral Analysis with Power Law (1/f) fit

Usage

mtmPL(dat,tbw=3,ntap=NULL,padfac=5,demean=T,detrend=F,siglevel=0.9,flow=NULL,fhigh=NULL,
    output=0,CLpwr=T,xmin=0,xmax=Nyq,pl=1,sigID=F,genplot=T,verbose=T)

Arguments

dat

Stratigraphic series for MTM spectral analysis. First column should be location (e.g., depth), second column should be data value.

tbw

MTM time-bandwidth product.

ntap

Number of DPSS tapers to use. By default, this is set to (2*tbw)-1.

padfac

Pad with zeros to (padfac*npts) points, where npts is the original number of data points.

demean

Remove mean from data series? (T or F)

detrend

Remove linear trend from data series? (T or F)

siglevel

Significance level for peak identification.

flow

Lowest frequency to include in 1/f fit

fhigh

Highest frequency to include in 1/f fit

output

What should be returned as a data frame? (0=nothing; 1=spectrum + CLs + power law fit; 2=sig peak freqs; 3=sig peak freqs + prob; 4=all)

CLpwr

Plot power law noise confidence levels on power spectrum (in addition to the power law fit)? (T or F)

xmin

Smallest frequency for plotting.

xmax

Largest frequency for plotting.

pl

Power spectrum plotting: (1) linear frequency-log spectral power, (2) linear frequency-linear spectral power (3) log frequency-log spectral power, (4) log frequency-linear spectral power

sigID

Identify signficant frequencies on power and probabilty plots? (T or F)

genplot

Generate summary plots? (T or F)

verbose

Verbose output? (T or F)

Details

Candidiate astronomical cycles are identified via isolation of those frequencies that achieve the required (e.g., 90 percent) power law confidence level and MTM harmonic F-test confidence level. Allowance is made for the smoothing inherent in the MTM power spectral estimate as compared to the MTM harmonic spectrum. That is, an F-test peak is reported if it achieves the required MTM harmonic confidence level, while also achieving the required power law confidence level within +/- half the power spectrum bandwidth resolution. One additional criterion is included to further reduce the false positive rate, a requirement that significant F-tests must occur on a local power spectrum high, which is parameterized as occurring above the local red noise background estimate. See Meyers (2012) for futher information.

References

S.R. Meyers, 2012, Seeing Red in Cyclic Stratigraphy: Spectral Noise Estimation for Astrochronology: Paleoceanography, 27, PA3228, doi:10.1029/2012PA002307.

Rahim, K.J. and Burr W.S. and Thomson, D.J., 2014, Appendix A: Multitaper R package in "Applications of Multitaper Spectral Analysis to Nonstationary Data", PhD diss., Queen's Univieristy, pp 149-183. http://hdl.handle.net/1974/12584

Thomson, D. J., 1982, Spectrum estimation and harmonic analysis, Proc. IEEE, 70, 1055-1096, doi:10.1109/PROC.1982.12433.

See Also

eha, lowspec, mtm, mtmAR, mtmML96, periodogram, and spec.mtm


[Package astrochron version 1.0 Index]