Kilometres has only 5 unique values, while Bonus has only 7, but the
default smoothing basis dimension for the s terms is 10, so there is a
problem. Solution is to reduce the basis dimension. e.g.
amgam <- gam(log(Payment) ~ offset(log(Insured))+
+ s(as.numeric(Kilometres),k=5) + s(Bonus,k=7) + Make + s(Claims),family
= gaussian,
+ data = motori)
On 08/11/11 16:57, Gyanendra Pokharel wrote:
Hi R community!
I am analyzing the data set "motorins" in the package "faraway" by using
the generalized additive model. it shows the following error. Can some one
suggest me the right way?
library(faraway)
data(motorins)
motori<- motorins[motorins$Zone==1,]
library(mgcv)
amgam<- gam(log(Payment) ~ offset(log(Insured))+
s(as.numeric(Kilometres)) + s(Bonus) + Make + s(Claims),family = gaussian,
data = motori)
Error in smooth.construct.tp.smooth.
spec(object, dk$data, dk$knots) :
A term has fewer unique covariate combinations than specified maximum
degrees of freedom
summary(amgam)
Error in summary(amgam) : object 'amgam' not found
Gyan
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