Creates an array of wavelet transforms from input timeseries
warray(dat, times, scale.min = 2, scale.max.input = NULL, sigma = 1.05, f0 = 1)A locations (rows) x time (columns) matrix
A vector of timestep values (e.g. years), spacing 1
The smallest scale of fluctuation that will be examined. At least 2.
The largest scale of fluctuation that will be examined. Note that if this is set too high relative to the length of the timeseries it will be truncated.
The ratio of each time scale examined relative to the next timescale. Greater than 1.
The ratio of the period of fluctuation to the width of the envelope
warray returns a list containing:
locations x time x timescales array of wavelet transforms
the time steps specified (e.g., years)
the timescales (1/frequency) computed for the wavelet transforms