plot.sdTest: Plots the results of the Shun and Duffy (1999) significance...

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

Description

Draws the SSA - Spectrum (eigenvalues versus the dominant frequency of the eigenvectors) and draws the the fitted noise model as well as the confidence bounds of the model.

Usage

## S3 method for class 'sdTest'
plot(x, asFreq = TRUE, normalize = TRUE, lam.pch = 19,
      lam.col = "black", lam.cex = 1, sig.pch = 19,
      sig.col = "red", sig.cex = 1, conf.col = "lightgray",
      conf.border = "lightgray", noise.col = "black",
      noise.lwd = 1, ann = TRUE, legend = TRUE,
      axes = TRUE, ...)

Arguments

x	Output of sdTest
asFreq	If by="freq", whether frequency shall be plotted as frequency or as period.
normalize	Whether eigenvalues shall be normalised to their sum or not.
lam.pch	pch of the eigenvalues.
lam.col	col of the eigenvalues.
lam.cex	cex of the eigenvalues.
sig.pch	pch of the eigenvalues, that are significantly different from the noise spectrum.
sig.col	col of the eigenvalues, that are significantly different from the noise spectrum.
sig.cex	cex of the eigenvalues, that are significantly different from the noise spectrum.
conf.col	col of the confidence bounds of the noise spectrum, as defined in polygon.
conf.border	border of the confidence bounds of the noise spectrum, as defined in polygon.
noise.col	Colour of the line representing the fitted noise model.
noise.lwd	lwd of the line representing the fitted noise model.
ann	Whether to do annotations or not.
legend	Whether to add a legend or not
axes	Whether to add axes or not.
...	Further arguments to be passed to other graphic functions.

Author(s)

Lukas Gudmundsson

See Also

sdTest, par

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