Usage
## S3 method for class '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
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 eac
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.