I am trying to work out what analysis to perform on two coupled time-series. I want to ask how the coupling (i.e. lag or correlation) changes over time. The time series are of 4 replicate pred-prey time series where the series appear more tightly coupled at peaks but drift apart during the decline and trough phases of the cycles. The time series are short (70-80 weeks/points replicated 4 times). I have investigated cross-spectrum, cross correlation and cross-wavelet techniques in R. But these either give the dominant lag, period or correlation over time and wavelets appear to be the wrong technique to ask what happens between peaks and troughs. Has anyone else tried to ask this question and/or do they know of R techniques to analyse this question? Any ideas would be appreciated Best wishes Tom
........................................................................ ............ Dr Tom C Cameron Ecology and Evolution research group IICB, University of Leeds Leeds, UK Office: +44 (0)113 343 2837 Lab: +44 (0)113 343 2854 Fax: +44 (0)113 343 2835 Email: [EMAIL PROTECTED] Webpage: click here <http://www.fbs.leeds.ac.uk/staff/profile.php?tag=Cameron_T> [[alternative HTML version deleted]] ______________________________________________ [email protected] 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.
