utils: Utility functions
In mvcwt: Wavelet Analysis of Multiple Time Series
Description
Usage
Arguments
Value
Description
Functions for calculating scales and locations to analyze
Usage
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9
get.nscales(x)
get.min.scale(x)
get.max.scale(x)
log2Bins(min, max, nbins)
regularize(x, nsteps = length(as.vector(unlist(x))))
Arguments
x
a vector of values
min
smallest value in sequence
max
largest value in sequence
nbins
how many intervals
nsteps
length of returned sequence
Value
get.nscales: length of x unlisted and as.vectorized.
get.min.scale: twice the median distance between successive values of x
get.max.scale: 1/2 the maximum distance between values in x
log2Bins: a sequence of values on a log2 scale
regularize: a regular sequence of values
mvcwt documentation built on May 2, 2019, 1:59 p.m.
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Description Usage Arguments Value
Description
Functions for calculating scales and locations to analyze
Usage
1 2 3 4 5 6 7 8 9 | get.nscales(x)
get.min.scale(x)
get.max.scale(x)
log2Bins(min, max, nbins)
regularize(x, nsteps = length(as.vector(unlist(x))))
|
Arguments
x |
a vector of values |
min |
smallest value in sequence |
max |
largest value in sequence |
nbins |
how many intervals |
nsteps |
length of returned sequence |
Value
get.nscales: length of x unlisted and as.vectorized.
get.min.scale: twice the median distance between successive values of x
get.max.scale: 1/2 the maximum distance between values in x
log2Bins: a sequence of values on a log2 scale
regularize: a regular sequence of values
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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