Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

mra-class

Multiresolution Analysis Object


Description

An S4 object containing multiresolution analysis information.

Slots

D

A list with element i comprised of a matrix containing the ith level wavelet detail.

S

A list with element i comprised of a matrix containing the ith level wavelet smooths.

filter

A wt.filter object containing information for the filter used in the decomposition. See help(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 if X is an object of class ts or mts and it is desired to retain relevant time information. If the original time series, X, is a matrix or has no attributes, then attr.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.

See Also


wavelets

Functions for Computing Wavelet Filters, Wavelet Transforms and Multiresolution Analyses

v0.3-0.2
GPL (>= 2)
Authors
Eric Aldrich <ealdrich@gmail.com>
Initial release
2020-02-16

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.