Hi Arun, thx for Your reply. thats interesting, but its not what I mean.
I know that there is some patterns in data, example: the highest value of the sale is on Monday, and the smallest on Wednesday and so on, there might be trend also I am trying to build forecasting model that will include patterns like that, for example forecast to next 5 days. So i think I can say that is weekly sesonality, i believe the metod to make correct model is to decompose time series like there. http://otexts.com/fppfigs/elecequip_stl.png <http://otexts.com/fppfigs/elecequip_stl.png> Do You think I am right? In any case, I have big problem to do this in R. -- View this message in context: http://r.789695.n4.nabble.com/Daily-Time-Series-patterns-tp4651569p4651591.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.