plotPseudospectrum: Plot and calculate the pseudospectrum of spectrally...

Description Usage Arguments Value Author(s) See Also

View source: R/plotPseudospectrum.R

Description

This function plots the pseudospectrum of the results from a SSA run, e.g. it plots the variance of the individual eigentriples vs. their frequencies. It can also be used to compute the frequency, variance and period of all SSA eigentriples.

Usage

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plotPseudospectrum(ssa.object, calc.raw.SSA = TRUE, plot.spectrum = TRUE, 
    plot.fourier = TRUE, series.orig = c(), pch = 16, col = "red", 
    show.harmonies = TRUE, label.points = TRUE, label.tresh = 5e-04, 
    call.freq = quote(DetermineFreq(series.t)), print.stat = TRUE, 
    ...)

Arguments

ssa.object

SSA object: the results of a run of ssa().

calc.raw.SSA

logical: Whether to additionally compute the whole spectrum for all un-grouped eigentriples (my slow the process in case of long time series.

plot.spectrum

logical: whether to plot the pseudospectrum.

plot.fourier

logical: Whether to plot the Fourier spectrum in the background.

series.orig

numeric vector: original, non decomposed time series (used to calculate Fourier spectrum). If not supplied, an object with the saved in ssa.object is searched for in all active environments.

pch

integer: graphic parameter passed to plot() (?par)

col

character: graphic parameter passed to plot() (?par)

show.harmonies

logical: whether to mark the positions of the harmonies of the oscillation with the highest variance.

label.points

logical: whether to label the points with period values

label.tresh

numeric: threshold used to label points

call.freq

function to use to determine the frequencies of the ssa eigentriples.

print.stat

logical: whether to print status information during the calculations.

...

Value

list with values

paired

matrix: frequency, period and variance of the paired reconstruction

raw

matrix: frequency, period and variance of the unpaired reconstruction

Author(s)

Jannis v. Buttlar

See Also

ssa


spectral.methods documentation built on May 29, 2017, 9:12 a.m.