This behavior is typical for "fast" Fourier Transform algorithms. You need to
decide what theory you want to use in dealing with your missing data, and apply
that yourself. There are some packages that can help you (e.g. Lomb-Scargle or
discrete slow Fourier transform). Search with package sos o
hi R users
I have a large 1D dataset and some of them is NA value .
I found I cound get the spectrum by such a command.
ua=c£¨10£¬30 £¬40£¬50£¬NA£©
spectrum(ua)
and I could not use na.rm just like mean or sd function
How could I get the spectrum of ua ?
thank you .
--
TANG Jie
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