plot.MCSSA: Plot Monte Carlo SSA

Description Usage Arguments Details Author(s) See Also

View source: R/catSSA_plot.R

Description

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

Usage

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## 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 31, 2017, 4:22 a.m.

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