On Aug 7, 2012, at 18:48 , Bird_Girl wrote:
> I have looked into using glht (‘multcomp’ package) to do multiple comparisons
> for a model fit with GAM {mgcv} but after reading the description of the
> ‘multcomp’ package, I believe this method only applies to parametric models
> and linear hypothe
I have looked into using glht (‘multcomp’ package) to do multiple comparisons
for a model fit with GAM {mgcv} but after reading the description of the
‘multcomp’ package, I believe this method only applies to parametric models
and linear hypotheses. When I ran the code glht(model,linfct….) I got a
On Aug 2, 2012, at 21:09 , Bird_Girl wrote:
> Hi,
>
> I have a question regarding whether it is possible to do post hoc tests on a
> model fit with GAM {mgcv}. My response variable is abundance (no.
> individuals per plot), and I have one continuous predictor (light) and one
> factor (height) w
Hi,
I have a question regarding whether it is possible to do post hoc tests on a
model fit with GAM {mgcv}. My response variable is abundance (no.
individuals per plot), and I have one continuous predictor (light) and one
factor (height) which includes 7 levels.
> mod2=gam(log_abundance~s(light
4 matches
Mail list logo
