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
[EMAIL PROTECTED] 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.
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--
Spencer Graves, PhD
Senior Development Engineer
PDF Solutions, Inc.
333 West San Carlos Street Suite 700
San Jose, CA 95110, USA
[EMAIL PROTECTED]
www.pdf.com http://www.pdf.com
Tel: 408-938-4420
Fax: 408-280-7915
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