The zoo package supports irregularly spaced time series and if your create a zoo object z from your data then tt <- as.ts(z) will give you a ts object, tt. Since a ts object must be regularly spaced this will add NAs to ensure that it is.
On Fri, Jan 8, 2010 at 3:05 PM, Erin Hestir <elhes...@ucdavis.edu> wrote: > Hello, > > I am trying to conduct a time series analysis on historic hydrologic data, > but I cannot coerce it into class ts because it does not have regular > sampling intervals (some years have 20 samples, other have 8). Specifically > I am trying to perform a CUSUM or or other step change detection, but the > packages all seem to require data as ts. > > Is there a way to coerce my data into ts while maintaining all of my > samples? > > Or alternatively, can someone recommend a package that does not require data > as ts? > > Thanks! > > > > -- > Erin Hestir > Center for Spatial Technology and Remote Sensing > University of California Davis > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > ______________________________________________ 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.
