plot.MCSSA: Plot Monte Carlo SSA

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

Description

Plots SSA - eigenspectrum and draws monte carlo error bars for each eigenvalue.

Usage

## S3 method for class 'MCSSA'
plot(x, by = "freq", normalize = FALSE, asFreq = TRUE,
      lam.pch = 19, lam.col = "black", lam.cex = 1, sig.col = "red",
      sig.pch = 19, sig.cex = 1, conf.col = "darkgray", log = "xy",
      ann = TRUE, legend = TRUE, axes = TRUE, ...)

Arguments

x	output of MCSSA.
by	How to order the eigenvalues. "freq": by frequency. "rank": by their rank (decreasingly ordered).
normalize	Normalise eigenvalues by their sum.
asFreq	If by="freq", shall the frequency be expressed as “frequency” or as “period”.
lam.pch	pch of the eigenvalues.
lam.col	col of the eigenvalues.
lam.cex	cex of the eigenvalues.
sig.col	col of the significant eigenvalues.
sig.pch	pch of the significant eigenvalues.
sig.cex	cex of the significant eigenvalues.
conf.col	col of the monte carlo confidence limits.
log	Use logarithmic axes, usage like log in par.
ann	Whether to do annotations or not.
legend	Whether to produce a legend or not.
axes	Whether to draw axes or not.
...	Further arguments to be passed to graphical functions.

Details

Eigenvalues larger than the upper bound of the monte carlo confidence limits are considered to be not explainable by an AR1 noise process.

Author(s)

Lukas Gudmundsson

See Also

MCSSA, par

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