I have a visualisation problem when running the following code for univariate regression, of multinomial covariates with 3+ categories/strata.
bddf %>%
 select(vachpv, age_HPV, lieu_nais_agr, lang_mat_agr) %>%*
 gtsummary::tbl_uvregression(*
 method = glm, y = vachpv, method.args = list(family = binomial(link = “logit”)),*
 exponentiate = TRUE)*
Only 1 single Odds Ratio (OR) is displayed as the result, instead of an OR for each category/strata within the covariate :
N OR 95% CI pvalue
Classe d’âge 406 0,94 0,59 – 1,51 0,8
Lieu de naissance404 0,35 0,18 – 0,63 <0,001
Langue maternelle406 0,68 0,52 – 0,85 0,002
The covariates were recoded and converted to factors:
bdd$classe_age ← factor(bdd$classe_age)
bdd$lieu_nais_agr ← factor(bdd$lieu_nais_agr)
bdd$lang_mat_agr ← factor(bdd$lang_mat_agr)
*bdd ← bdd %>% *
 mutate(*
 lieu_nais_agr = case_when(*

(lieu_nais == A) ~ 1,*

(lieu_nais == B) ~ 2,*

(lieu_nais == C) ~ 3*
 )*
 )*
Is there a modification in the R code which will produce and output ORs for each strata/category?