[R] Fwd: time series regression
Thibaut Jombart
jombart at biomserv.univ-lyon1.fr
Thu Mar 20 17:16:18 CET 2008
bereket weldeslassie wrote:
> Hi Everyone,
> One more information to my question. I am trying to do a time series
> regression using the lm function. *My intention is to investigate the
> relationship between a dependent time series variable and several
> independent time series variables.* According to the durbin watson test the
> errors are autocorrelated. And then I tried to use the gls function to
> accomodate for the autocorrelated errors. My question is how do I know what
> ARMA process (order) to use in the gls function? Or is there any other way
> to do the time series regression in R? I highly appreciate your help.
> Thanks,
> Bereket
>
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at 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.
>
>
>
Hi,
Temporal autocorrelation seems to be a contagious process... even for
emails. I received yours three times in 5 minutes.
Concerning your question, I am no expert in time series, but you may
also try ordinary least squares after 'removing' autocorrelation. This
can be achieved by regression onto a lagged variable (see lag.listw in
spdep, which can also be applied to temporal context), or onto
eigenvectors of a temporal proximity matrix.
Cheers,
Thibaut.
--
######################################
Thibaut JOMBART
CNRS UMR 5558 - Laboratoire de Biométrie et Biologie Evolutive
Universite Lyon 1
43 bd du 11 novembre 1918
69622 Villeurbanne Cedex
Tél. : 04.72.43.29.35
Fax : 04.72.43.13.88
jombart at biomserv.univ-lyon1.fr
http://lbbe.univ-lyon1.fr/-Jombart-Thibaut-.html?lang=en
http://adegenet.r-forge.r-project.org/
More information about the R-help
mailing list