Code please. Reproducible example?(e.g. 1st 100 values)
"PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code." Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Wed, Mar 30, 2016 at 8:03 AM, Ryan Utz <utz.r...@gmail.com> wrote: > Hello, > > I have a time series that represents data sampled every 15-minutes. The > data currently run from November through February, 8623 total readings. > There are definitely daily periodic trends and non-stationary long-term > trends. I would love to decompose this using basic time series analysis. > > However, every time I attempt decomposition, I get the > > Error in decompose( ) : time series has no or less than 2 periods > > Is it only possible to do basic time-series analysis if you have a year or > more worth of data? That seems absurd to me, since there is definite > periodicity and the data are a time series. I have tried every manner of > specifying frequency= with no luck (96 does not work). All manner of > searching for help has turned up fruitless. > > Can I only do this after I wait another year or two? > > Thanks, > Ryan > > -- > > Ryan Utz, Ph.D. > Assistant professor of water resources > *chatham**UNIVERSITY* > Home/Cell: (724) 272-7769 > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
