glm(
am ~ mpg + factor(cyl),
data = mtcars,
family = binomial,
contrasts = list(`factor(cyl)` = contr.sum)
) %>%
model_list_terms_levels()
df <- Titanic %>%
dplyr::as_tibble() %>%
dplyr::mutate(Survived = factor(Survived, c("No", "Yes")))
mod <- df %>%
glm(
Survived ~ Class + Age + Sex,
data = ., weights = .$n, family = binomial,
contrasts = list(Age = contr.sum, Class = "contr.helmert")
)
mod %>% model_list_terms_levels()
mod %>% model_list_terms_levels("{level} vs {reference_level}")
mod %>% model_list_terms_levels("{variable} [{level} - {reference_level}]")
mod %>% model_list_terms_levels(
"{ifelse(reference, level, paste(level, '-', reference_level))}"
)
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