plot-SmoothedPG: Plot the values of a 'SmoothedPG'.
In quantspec: Quantile-Based Spectral Analysis of Time Series

plot-SmoothedPG

R Documentation

Plot the values of a `SmoothedPG`.

Description

Creates a K x K plot depicting a smoothed quantile periodogram. Optionally, the quantile periodogram on which the smoothing was performed, a simulated quantile spectral density, and pointwise confidence intervals can be displayed. In each of the subplots either the real part (on and below the diagonal; i. e., \tau_1 \leq \tau_2) or the imaginary parts (above the diagonal; i. e., \tau_1 > \tau_2) of

the smoothed quantile periodogram (blue line),
the quanitle peridogram that was used for smoothing (gray line),
a simulated quantile spectral density (red line),
pointwise (asymptotic) confidence intervals (light gray area),

for the combination of levels \tau_1 and \tau_2 denoted on the left and bottom margin of the plot are displayed.

Usage

## S4 method for signature 'SmoothedPG,ANY'
plot(
  x,
  plotPG = FALSE,
  qsd,
  ptw.CIs = 0.1,
  type.CIs = c("naive.sd", "boot.sd", "boot.full"),
  ratio = 3/2,
  widthlab = lcm(1),
  xlab = expression(omega/2 * pi),
  ylab = NULL,
  type.scaling = c("individual", "real-imaginary", "all"),
  frequencies = x@frequencies,
  levels = intersect(x@levels[[1]], x@levels[[2]])
)

Arguments

`x`	The `SmoothedPG` object to plot
`plotPG`	a flag indicating weater the `QuantilePG` object associated with the `SmoothedPG` `x` is also to be plotted.
`qsd`	a `QuantileSD` object; will be plotted if not missing.
`ptw.CIs`	the confidence level for the confidence intervals to be displayed; must be a number from [0,1]; if null, then no confidence intervals will be plotted.
`type.CIs`	indicates the method to be used for determining the confidence intervals; the methods available are those provided by `getPointwiseCIs-SmoothedPG`.
`ratio`	quotient of width over height of the subplots; use this parameter to produce landscape or portrait shaped plots.
`widthlab`	width for the labels (left and bottom); default is `lcm(1)`, cf. `layout`.
`xlab`	label that will be shown on the bottom of the plots; can be an expression (for formulas), characters or `NULL` to force omission (to save space).
`ylab`	label that will be shown on the left side of the plots; can be an expression (for formulas), characters or `NULL` to force omission (to save space).
`type.scaling`	a method for scaling of the subplots; currently there are three options: `"individual"` will scale each of the `K^2` subplots to minimum and maximum of the values in that plot, `"real-imaginary"` will scale each of the subplots displaying real parts and each of the subplots displaying imaginary parts to the minimum and maximum of the values display in these subportion of plots. The option `"all"` will scale the subplots to the minimum and maximum in all of the subplots.
`frequencies`	a set of frequencies for which the values are to be plotted.
`levels`	a set of levels for which the values are to be plotted.