[R] Selecting significant peaks in periodograms
spencer.graves at pdf.com
Wed Jan 11 03:48:18 CET 2006
I just got 2 hits for 'RSiteSearch("significant peaks in
periodogram")', the first of which was
"http://finzi.psych.upenn.edu/R/Rhelp02a/archive/61482.html". If you
would like more help from this group, PLEASE do read the posting guide!
"www.R-project.org/posting-guide.html". Anecdotal evidence suggests
that posts more consistent with that guide tend to get more useful
Pete Cap wrote:
> Greetings all,
> I am using Fourier analysis to search for periodicities in IP
network traffic by generating periodograms and then visually
examining them for large, distinct peaks.
> However, in many cases it is not readily apparent where there
are periodicities. I have no experience with discrete maths so
I've come up against a block here: How do I define what the
"noise floor" is and what peaks rising above it are significant
enough to warrant further investigation?
> I had thought to try to detect peaks as outliers by using
confidence intervals (assuming that the "Power" vector was
normally distributed) but I'm not sure if this is statistically
valid. If anyone can provide help, or point me to some
resources on the subject, then I'd appreciate it.
> Incidentally, I have tried to use other methods (the
Lomb-Scargle method in particular) but haven't found any
especially well-suited to the problem.
> Best regards,
> [[alternative HTML version deleted]]
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
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