Keeping Gavin's advice in mind, you may also want to look at ?acf (and
see section 14.1 of MASS) and help(ACF, package=nlme) (see section 5.3
of MEMSS). These are useful functions for exploring the 1d empirical
autocorrelation structure of model residuals.
hth,
Kingsford Jones
On Fri, Aug 15, 20
On Thu, 2008-08-14 at 16:12 +0100, Abigail McQuatters-Gollop wrote:
> Hi,
>
> I am looking at the effects of two explanatory variables on chlorophyll.
> The data are an annual time-series (so are autocorrelated) and the
> relationships are non-linear. I want to account for autocorrelation in
> my
Hi,
I am looking at the effects of two explanatory variables on chlorophyll.
The data are an annual time-series (so are autocorrelated) and the
relationships are non-linear. I want to account for autocorrelation in
my model.
The model I am trying to use is this:
Library(mgcv)
gam1 <-g
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