arima() fits a seasonal ARIMA model. I have no idea what `seasons' you have in mind, but they can be used for weekly effects in daily data, for example, and might also be appropriate for a yearly effect in weekly data (provided you have the same number of weeks each year and are not subject to the vagarities of holidays -- e.g. weekly abundance measures of animals).
This is answered in all good books on time series, including some of those referred to in ?arima. On Thu, 1 Jul 2004, Laura Holt wrote: > When using the arima function with the seasonal option, are the seasonal > options only good for monthly and quarterly data, please? > > Also, I believe that weekly and daily data are not appropriate for seasonal > parm estimation via arima. > > Is that correct, please? -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
