plot.decompSSA: Plot the SSA eigenspectrum

In simsalabim: A collection of methods for time series analysis and signal detection.

Description

Plots the SSA eigenspectrum.

Usage

## S3 method for class 'decompSSA'
plot(x, by = "freq", normalize = FALSE, asFreq = TRUE,
      ann = TRUE, log = "xy", ...)

Arguments

x	Object of class decompSSA
by	How eigenvalues shall be ordered. "rank" denotes ordering by decreasing order."freq" denotes ordering by their frequency.
normalize	If eigenvalues shall be normalized to their sum.
asFreq	Only is applied if by="freq". Determines whether the frequencies shall be expressed as true “frequency” or be inverted as “period”.
ann	Whether to do annotation or not.
log	Use logarithmic axes, usage like log in par.
...	Other arguments to be passed to graphical functions.

Details

The SSA eigenspectrum is build of the (potentially normalised) eigenvalues ordered either by the dominant frequency of the corresponding eigenvector or by their rank (decreasingly order).

Author(s)

Lukas Gudmundsson

See Also

decompSSA , decompSSAM

Examples

x <- sin(seq(0,10*pi,len=200))
x <- x + rnorm(x)/2
x.dc <- decompSSA(x,L=40)
plot(x.dc,by="rank",log="")
plot(x.dc,by="freq",log="y")

simsalabim documentation built on May 2, 2019, 5:56 p.m.