You could try the timeseries list at https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=TIMESERIES
kjetil On Mon, Dec 20, 2010 at 6:26 PM, Mike Williamson <this.is....@gmail.com> wrote: > Hello all, > > First of all, thanks so those of you who helped me a week or so ago > managing a time series with varying gaps between the data series in 'R'. > (My final preferred solution was to use "its" function & then > forecast(Arima( ) ). ) > > My next question is a general statistical question where I'd like some > advice, for those willing / able to proffer any wisdom: > > - I need to predict using this same time series, where the *data* are > highly discrete. E.g., I will have values like 1e5, 2.2e5, and 3.6e5, but I > will never have 1.3e5 or 1.8e5, etc. > - I could simply leave these values as discrete, similar to a binomial > distribution, but then I am not sure how to use time series tricks like > arima above. For time-series analyses that I know of, an > assumption of an > approximately normal distribution is expected. No simple normalization > (e.g., log(values) ) works, since the non-normality arises from > the highly > discrete distribution more than any drastic asymmetry in the population > spread. > - I could leave the values as they are an work with a model where the > assumption is violated... I am not sure how sensitive a model > such as arima > is on the population distribution > - Or I could... (here's where I am hoping for some collective genius). > > Thanks in advance for any help! If this isn't the best forum, since I > know this is not specifically an 'R' question, please let me know of a > better forum to post such a question. > > Thanks! > Mike > > > > "Telescopes and bathyscaphes and sonar probes of Scottish lakes, > Tacoma Narrows bridge collapse explained with abstract phase-space maps, > Some x-ray slides, a music score, Minard's Napoleanic war: > The most exciting frontier is charting what's already here." > -- xkcd > > -- > Help protect Wikipedia. Donate now: > http://wikimediafoundation.org/wiki/Support_Wikipedia/en > > [[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.
