I saw Gabor's reply but have a clarification to request. You say you
want to remove low frequency components but then you request smoothing
functions. The term "smoothing" implies removal of high-frequency
components of a series.
If smoothing really is your goal then additional R resource would be
smooth.spline, loess (or lowess), ksmooth, or using smoothing terms in
regressions. Venables and Ripley have quite a few worked examples of
such in MASS.
--
David Winsemius
On Feb 26, 2009, at 7:07 AM, <mau...@alice.it> wrote:
I am looking for some help at removing low-frequency components from
a signal, through Moving Average on a sliding window.
I understand thiis is a smoothing procedure that I never done in my
life before .. sigh.
I searched R archives and found "rollmean", "MovingAverages {TTR}",
"SymmetricMA".
None of the above mantioned functions seems to accept the smoothing
polynomial order and the sliding window with as input parameters.
Maybe I am missing something.
I wonder whether there is some building blocks in R if not even a
function which does it all (I do not expect that much,though).
Even some literature references and/or tutorials are very welcome.
Thank you so much,
Maura
tutti i telefonini TIM!
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