mra-class {wavelets} | R Documentation |
Multiresolution Analysis Object
Description
An S4 object containing multiresolution analysis information.
Slots
- D
A list with element
i
comprised of a matrix containing thei
th level wavelet detail.- S
A list with element
i
comprised of a matrix containing thei
th level wavelet smooths.- filter
A
wt.filter
object containing information for the filter used in the decomposition. Seehelp(wt.filter)
for details.- level
An integer value representing the level of wavelet decomposition.
- boundary
A character string indicating the boundary method used in the wavelet decomposition. Valid values are "periodic" or "reflection".
- series
The original time series,
X
, in matrix format.- class.X
A character string indicating the class of the input series. Possible values are
"ts"
,"mts"
,"numeric"
,"matrix"
, or"data.frame"
.- attr.X
A list containing the attributes information of the original time series,
X
. This is useful ifX
is an object of classts
ormts
and it is desired to retain relevant time information. If the original time series,X
, is a matrix or has no attributes, thenattr.X
is an empty list.- method
A character string indicating which type of wavelet decomposition was performed (either "dwt" or "modwt").
Author(s)
Eric Aldrich. ealdrich@gmail.com.
References
Percival, D. B. and A. T. Walden (2000) Wavelet Methods for Time Series Analysis, Cambridge University Press.