Plots multiple DWT Wavelet or Scaling Filters similar to Figure 108 in Wavelet Methods for Time Series Analysis by Percival and Walden (2000).
1  figure108.wt.filter(filter.objects, level = 1, l = NULL, wavelet = TRUE)

filter.objects 
List containing 'wt.filter' objects, character strings specifying a wavelet filter, or numeric vectors of wavelet coefficients. The list can contain a combination of 'wt.filter' objects, character strings, and numeric vectors. If only one filter is to be plotted, a single 'wt.filter' object, character string, or numeric vector may be supplied. See 'help(wt.filter)' for acceptable filter names. 
level 
If 
l 
Single integer representing the right hand limit of the
horizontal axis. If unspecified, it will default to the length
of the filter of greatest length given in

wavelet 
A logical flag indicating whether to plot the wavelet (high pass) or scaling (low pass) filter. 
The plotting space available for each filter is dictated by the value of greatest magnitude of all the filters plotted. The vertical plotting space for each level will then be 2 times the absolute value of this magnitude.
The filters are successively plotted in the order given in
filter.object
, where the first filter in filter.object
is drawn at the top of the plot region, and the successive filters
are plotted below.
Kelvin Ma, kkym@u.washington.edu
Percival, D. B. and A. T. Walden (2000) Wavelet Methods for Time Series Analysis, Cambridge University Press.
wt.filter
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  # Plotting the LA8 Wavelet Filter
filter < wt.filter()
figure108.wt.filter(filter)
# Alternatively
figure108.wt.filter("la8")
# Plotting the Haar, D4, D6 Wavelet Filters
figure108.wt.filter(list("haar", "d4", "d6"))
# Plotting the Haar, D4, D6 Scaling Filters
figure108.wt.filter(list("haar", "d4", "d6"), wavelet = FALSE)
# Alternatively
haar < wt.filter("haar")
d6 < wt.filter("d6")
figure108.wt.filter(list(haar, "d4", d6), wavelet = FALSE)
# Adding an "made up" filter (represented by c(1,1,1,1)
figure108.wt.filter(list(haar, "d4", d6, c(1,1,1,1)), wavelet = FALSE)

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