You said you specified frequency=96 when you constructed the time series, but when I do that the decomposition looks reasonable:
> time <- seq(0,9,by=1/96) # 15-minute intervals, assuming time unit is day > measurement <- sqrt(time) + 1/(1.2+sin(time*2*pi)) + rnorm(length(time),0,.3) > plot(decompose(ts(measurement, frequency=96))) How is your code different from the above? Bill Dunlap TIBCO Software wdunlap tibco.com 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. > [[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.