Re: [R] Curve fitting,FDA for biological data

Hi Thanks a lot, I think you have covered the things I want to do for now so I will try to implement them as soon I can. << A finite Fourier series could be the best tool IF the the multiple periodicities are all integer fractions of a common scale.>> This is certainly true for my repetitive

Re: [R] Curve fitting,FDA for biological data

Dear Dr Gkikopoulos: 1. Have you looked at "bioconductor.org"? They have substantive extensions to R specifically for "genomic data", which I assume would include chromosome. 2. To "identify periodicities at different timescales", I agree with Stephen that "spectrum" would l

Re: [R] Curve fitting,FDA for biological data

There are a couple of different goals for this projects *identify periodicities at different timescales (ie different dT) *fit data into discrete number of curves, ie 6 different basic functions should be enough to describe the basic repeating elements in this data (ie 6 different categories of

Re: [R] Curve fitting,FDA for biological data

What is your end goal? If it is to try and account for the variability of the "timeseries" you may want to look at ?spectrum If it is to model the periodicity... Stephen Sefick On Fri, Apr 3, 2009 at 11:30 AM, trias wrote: > > Here is the gif that didn't come through earlier > http://www.nabble

Re: [R] Curve fitting,FDA for biological data

Here is the gif that didn't come through earlier http://www.nabble.com/file/p22870832/signal.gif signal.gif -- View this message in context: http://www.nabble.com/Curve-fitting%2CFDA-for-biological-data-tp22868069p22870832.html Sent from the R help mailing list archive at Nabble.com. _