I want to run a hieratchical GAM in the mgcv package using the gam function. I used the same form of model in brms without problem and I will eventually re-run the same model in brms, but the deadline for an abstract submission in Sunday so I want to try the model in mgcv to have quicker results.
My formula:
f = MDS1 ~ 1 + exposed + s(YEAR,bs = "tp")+ s(LEVEL, bs = "tp") +
t2(YEAR, SITE, bs = c("tp","re")) + s(INTERTIDAL_TRANSECT, bs = "re",
m = 1)
My data:
Classes ‘data.table’ and 'data.frame': 3992 obs. of 9 variables:
$ unique_id : chr "Babb's Cove-1-0-1988" "Babb's Cove-1-0-1989" "Babb's Cove-1-0-1990" "Babb's Cove-1-0-1992" ...
$ MDS1 : num -0.607 -0.607 -0.607 -0.607 -0.607 ...
$ MDS2 : num 0.19 0.19 0.19 0.19 0.19 ...
$ MDS3 : num 0.36 0.36 0.36 0.36 0.36 ...
$ SITE : chr "Babb's Cove" "Babb's Cove" "Babb's Cove" "Babb's Cove" ...
$ INTERTIDAL_TRANSECT: Factor w/ 21 levels "1","2","5","7",..: 1 1 1 1 1 1 1 1 1 1 ...
$ LEVEL : num 0 0 0 0 0 0 0 1 1 1 ...
$ YEAR : num 1988 1989 1990 1992 1994 ...
$ exposed : Factor w/ 2 levels "1","2": 2 2 2 2 2 2 2 2 2 2 ...
- attr(*, ".internal.selfref")=<externalptr>
- attr(*, "sorted")= chr "unique_id"
I have 2 questions: a)
When I try to fit the model with fit_count <- gam(f, data = count_merge, method = "REML", family = gaussian())
I get :
Error in names(dat) <- object$term :
attribut 'names' [2] doit être de même longueur que le vecteur [1]
I think it's something with the t2() argument of the formula.
b) I usually run GAM with brms and my formula for that model was :
MDS1 ~ 1 + exposed + s(YEAR,bs = "tp")+ s(LEVEL, bs = "tp") + t2(YEAR, SITE, bs = c("tp","re"), full = T) +(1|r|INTERTIDAL_TRANSECT),
family = gaussian()
Is my way to adapt the formula to mgcv::gam OK?
Your SITE
vector is a character vector and it is required to be a factor.
That looks OK, but you don't need the m = 1
in the s(INTERTIDAL_TRANSECT, bs = "re")
term.
You should also use the full = TRUE
option on the t2()
term if you want the parameterisation to be the same between your {brms} call the {mgcv} one.