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 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.
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-- 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.