plotts.mra.wge | R Documentation |
Plots MAR ;plot associated with a multiresolution analysis using function mra from waveslim
plotts.mra.wge(x, n.levels, type='S8')
x |
Realization (must be of length 2^k for some integer k between 2 and 14 |
n.levels |
Maximum order of discrete wavelet transforms to be calculated. n.levels must be less than or equal to k where n=2^k |
type |
Discrete wavelet to use: options include 'haar', 'S8','D4','D6',D8' |
The wavelsim mra function names these :'haar', 'la8','d4','d6',and 'd8' respectively and the conversion is done transparently within the R code. This is done transparently within the R code.
The output is a plot of the MRA.
Requires CRAN package 'waveslim'
Wayne Woodward
Applied Time Series Analysis with R, second edition by Woodward, Gray, and Elliott
data(bumps256)
plotts.mra.wge(bumps256,n.levels=4,type='S8')
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