Hello, I am new to the R software and attempting to create a time series model with trend, seasonality, as well as cycles. I have already been able to create a model that incorporates both the trend and seasonality and my approach is to then use the fitted results from this model in order to create an ARMA model. My code looks like this:
> model1=tslm(m2ts~poly(t,9)+season) > model2=arma(model1$fit,c(1,0)) But after attempting to create the second model I receive this error message: "Error in AA %*% t(X) : requires numeric/complex matrix/vector arguments" I have seen code that works in using $fit to create an ARMA model but I cannot figure out what is wrong with my models. Why is it that model1$fit does not meet the requirements as a numeric/complex matrix/vector? Does it not return as a time-series? Also, is this the best approach to creating a model that incorporates all three of these elements: trend, seasonality, and cycles? or is there a better method which may be simpler? Thank you very much for helping a novice R programmer out. I can provide more information if needed. Sincerely, Alex ______________________________________________ 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.
