not sure if I'm missing something here, but since you are using a log
link, isn't the ratio you are looking for given by the `treatmentB'
parameter in the summary (independent of X)
> summary(gfit)
[snip]
Parametric coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 1.
But that just gives me the prediction of Y for treatment A or B, not the ratio.
As I stated:
# I am interested in the relationship:
# Y(treatment =="B") / Y(treatment=="A") as a function of X, with a
confidence interval!
I can get the SE for either of them using predict.gam without a
problem, b
On Jun 27, 2011, at 10:45 PM, Remko Duursma wrote:
Dear R-helpers,
I am trying to construct a confidence interval on a prediction of a
gam fit. I have the Wood (2006) book, and section 5.2.7 seems relevant
but I am not able to apply that to this, different, problem.
Any help is appreciated!
Dear R-helpers,
I am trying to construct a confidence interval on a prediction of a
gam fit. I have the Wood (2006) book, and section 5.2.7 seems relevant
but I am not able to apply that to this, different, problem.
Any help is appreciated!
Basically I have a function Y = f(X) for two different
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