[R] inverse fourier transform

[stephen sefick]

y<-ts(x, frequency=1/15)
spec.pgram(y, log="no")

There is high power in the very low frequency range for the data set
of continuous dissolved oxygen on which I am preforming this analysis.
 This is the seasonal trend due to temperature (and all things that
are associated- photosynthesis, respiration, and anything else on
which the doubling of a reaction rate ever ten degrees celcius would
act).  I would like to make this low frequency spike zero and then
inverse fourier transform to get the "filtered" signal.  spec.pgram
spits out a matrix

z<-spec.pgram(y, log="no")
print(z)

spec, frequency, and phase are returned.  They are not matched up and
I would like to take out the frequency and its associated spectrum in
the range of 0-6.53*10^6.   Any suggestions?
thanks

Stephen

-- 
Let's not spend our time and resources thinking about things that are
so little or so large that all they really do for us is puff us up and
make us feel like gods.  We are mammals, and have not exhausted the
annoying little problems of being mammals.

								-K. Mullis