Dear Camilo,
I hope I interpret correctly what you want.
In AN(C)OVA you are primary interested to see, whether a variable
significantly contributes to the explanation of the observed variance,
right? Spatial models by and large try to "do away with" spatial
autocorrelation (SAC), so that coef
On Sun, 2008-11-16 at 17:58 -0500, Sally Roman wrote:
> Hi- I'm try to run a GAM with a Gamma distribution, but am getting an
> error message that there are non positive values allowed for the gamma
> family. I do not have any negative values for my response or explanatory
> variables.
>
> cod.fa
Hi- I'm try to run a GAM with a Gamma distribution, but am getting an
error message that there are non positive values allowed for the gamma
family. I do not have any negative values for my response or explanatory
variables.
cod.fall.gam2.kept<-gam(y~s(b,bs="cr",k=4)+s(e,bs="cr",k=4)+f+s(g,bs="cr
Christopher Chizinski <[EMAIL PROTECTED]> writes:
> I am using protest (in vegan) to assess the concordance between NMDS scores,
> as shown below:
>
> fishbug.fit <- protest(scores.bug, scores.fish,permutations = )
>
> I would like to get the average residuals from protest. When I use
> res
I am using protest (in vegan) to assess the concordance between NMDS
scores, as shown below:
fishbug.fit <- protest(scores.bug, scores.fish,permutations = )
I would like to get the average residuals from protest. When I use
residuals(),
resids.fit<-residuals(fishbug.fit)
which residual
