[R] NaN response with gam (mgcv library)

[varin sacha]

Dear Simon,

Thanks ! It works !

Best,







Le lundi 1 mai 2023 à 11:19:26 UTC+2, Simon Wood <simon.wood using bath.edu> a écrit : 





try...

sum(residuals(model1)^2)

On 30/04/2023 22:03, varin sacha via R-help wrote:
> Dear R-experts,
>
> Here below my R code. I get a NaN response for gam with mgcv library. How to solve that problem?
> Many thanks.
>
> #########################################################
> library(mgcv)
>  
> y=c(23,24,34,40,42,43,54,34,52,54,23,32,35,45,46,54,34,36,37,48)
> x1=c(0.1,0.3,0.5,0.7,0.8,0.9,0.1,0.7,0.67,0.98,0.56,0.54,0.34,0.12,0.47,0.52,0.87,0.56,0.71,0.6)
> x2=c(9,7,5,3,2,1,1,2,8,9,6,3,1,5,6,7,3,1,3,5)
> x3=c(11,10,13,15,10,9,14,16,18,19,20,9,13,12,14,17,21,19,23,12)
>  
> model=lm(y~x1+x2+x3)
> model1=gam(y ~ s(x1, bs = 'cr', k = 3) + s(x2, bs = 'cr', k = 3)+ s(x3, bs = 'cr', k = 3))
>  
>  
> #Calculate MSE
>   model_summ=summary(model)
>   mean(model_summ$residuals^2)
>  
>  
>   #Calculate MSE
>   model_summ=summary(model1)
>   mean(model_summ$residuals^2)
> #########################################################
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

-- 
Simon Wood, School of Mathematics, University of Edinburgh,
https://www.maths.ed.ac.uk/~swood34/