You really don't want to use ts() -- if you want to use the tools in fArma use a timeSeries (provided by the package of the same name)
Michael On Wed, Apr 25, 2012 at 9:54 AM, Barun Saha <barun.sah...@gmail.com> wrote: > Hello, > > I'm an absolute beginner with R. I'm hoping to do some time-series analysis > on my data. The data looks like > #time value > 18 153 > 20 426 > 70 7 > 83 130 > 84 7 > > and so on where time could be in seconds or hours or days (not all at the > same time). How could I import such a file to R and do some simple stuff > (say plot the values)? As per the tutorials on time series, I could use the > ts() method to import the values (not timestamps). However, one problem > with my data is that the *time intervals are not regular* -- i.e. I don't > have observations at every delta_t. So, I possibly can't ignore the > timestamps. > > I'm also interested to estimate the Hurst exponent for the above series. > I've installed the fArma package. Again, I'm not sure how to use the above > series there. > > Could someone please help me on this? > > -- > Thanks, > Barun Saha > JPA > IIT, Kharagpur > > http://pothi.com/pothi/book/barun-saha-swapner-kheya > http://delay-tolerant-networks.blogspot.com/p/one-tutorial.html > > [[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.