To get an overview, you could just play around with fft() and spectrum(), two functions, which R offers by default (assuming you know Fourier Transformation). fft() gives you back complex spectrum.
There also is a refcard that gives an overview on Time Series analysis from Vito Ricci: http://cran.r-project.org/doc/contrib/Ricci-refcard-ts.pdf And there also is a Time series Analysis package (TSA-package): which offers a lot of functions: http://cran.r-project.org/web/packages/TSA/index.html In one of the last issues of R-Journal I remember, that there also was something written about decomposition. Ciao, Oliver ______________________________________________ R-help@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.
