wmr.boot: Boot strap p-values for wavelet modulus ratio
In mvcwt: Wavelet Analysis of Multiple Time Series

Description Usage Arguments Details Value Author(s) References See Also

Performs a phase-randomization bootstrap estimate of the null hypothesis of independent time series

1	wmr.boot(w, smoothing = 1, reps = 1000, mr.func = "wmr")

`w`	an object such as returned by `mvcwt`
`smoothing`	degree of smoothing; larger values give greater smoothing
`reps`	number of repetitions
`mr.func`	a function taking a "mvcwt" object to be applied to each trial

The phases are randomized reps times for each combination of input variable and scale. This package depends heavily on the dopar function in the foreach package. If you do not have a lot of cores available to you, you may need to let this run overnight.

an object of class "mvcwt" suitable for use with contour.mvcwt.

Timothy H. Keitt

Keitt, T. H. 2008. Coherent ecological dynamics induced by large-scale disturbance. Nature 454:331-4. doi:10.1038/nature06935.

mvcwt, wmr

mvcwt documentation built on May 2, 2019, 1:59 p.m.