[R] Curve fitting,FDA for biological data

[trias]

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 peaks)
 *comapre data from different experiments of the same "time" reference (in
my case this is location on chromosome) for changes in the underlying basic
elements (ie changes of the basic funtions,periodicity etc)

 I think if I can find a strategy to answer some of these question I be in a
good position to explore this data analysis further if needed.

 Thanks a lot



stephen sefick wrote:
> 
> 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 <t.gkikopoulos at dundee.ac.uk> wrote:
>>
>> 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.
>>
>> ______________________________________________
>> R-help at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
> 
> 
> 
> -- 
> Stephen Sefick
> 
> 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
> 
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 
> 

-- 
View this message in context: http://www.nabble.com/Curve-fitting%2CFDA-for-biological-data-tp22868069p22906065.html
Sent from the R help mailing list archive at Nabble.com.