If you have not received an adequate reply to this and would still
like help, please submit a more specific question, preferably with a
small self-contained example that someone can copy from your email,
paste into R, and try some alternatives in a minute or two. R has many
capabililities for time series. A more specific question might produce
more useful replies. The posting guide
(http://www.R-project.org/posting-guide.html) might help increase the
chances that someone else will provide the help you seek.
Good Luck,
Spencer Graves
nhy303 at abdn.ac.uk wrote:
> Dear List,
>
> The purpose of this e-mail is to ask about R time series procedures - as a
> biologist with only basic time series knowledge and about a year's
> experience in R.
>
> I have been using ARIMAX models with seasonal components on seasonal data.
> However I am now moving on to annual data (with only 34 time points) and
> understand that ARIMA is not suitable for these shorter time periods -
> does R have other, more robust, methods?
>
> I have tried looking through the R help pages & documentation for
packages
> but am unsure what model type is suitable.
>
> Secondly, I wish to start building multivariate time series models in R to
> look at how fish condition (for several sizes of fish) is affected by
> environmental factors and numbers of prey. It would be great if someone
> could suggest what R packages/documentation would be useful to research?
>
> Thankyou,
>
> Lillian.
>
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html
--
Spencer Graves, PhD
Senior Development Engineer
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333 West San Carlos Street Suite 700
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