plot.irregwd(irregwd, xlabvals, first.level = 1, main = "Wavelet Decomposition Coefficients", scaling = "by.level", rhlab = F, sub, ...)
global
- one scale factor is chosen for the whole plot.
The scale factor depends on the variance factor to be included on the
plot that has the largest absolute value. The global
option is useful when comparing factors that might appear anywhere
in the plot; by.level
- a scale factor is chosen for
each resolution level in the plot. The scale factor for a level
depends on the variance factor in that level that has the largest
absolute value. The by.level
option is useful when
you wish to compare coefficients within a resolution level.
T
then a set of labels is produced on the right hand
axis. The axis labels in this case refer to the scale factors used
to scale each level and correspond to value of the largest variance
factor
(in absolute value) in each scale
(when scaling=="by.level"
)
or absolutely (when scaling="global"
).
If the rhlab
argument is F
then no right
hand axis labels are produced.
rhlab==T
then the scaling factors applied to each scale
level are returned. Otherwise NULL is returned.
This function is basically the same as plot.wd except that variance factors and not coefficients are plotted. A variance factor is a number that quantifies the variability of a coefficient induced by the irregular design that was interpolated to a regular grid by the makegrid function which is used the by irregwd irregular wavelet transform function.
High values of the variance factor correspond to large variance in the wavelet coefficients but due to the irregular design, not the original noise structure on the coefficients.
# # The help for makegrid contains an example # of using this function. #