Add contrasts type for categorical variables
Add a contrasts
column corresponding to contrasts used for a
categorical variable and a contrasts_type
column equal to
"treatment", "sum", "poly", "helmert", "other" or "no.contrast".
tidy_add_contrasts(x, model = tidy_get_model(x), quiet = FALSE)
x |
a tidy tibble |
model |
the corresponding model, if not attached to |
quiet |
logical argument whether broom.helpers should not return a message when |
If the variable
column is not yet available in x
,
tidy_identify_variables()
will be automatically applied.
Other tidy_helpers:
tidy_add_coefficients_type()
,
tidy_add_estimate_to_reference_rows()
,
tidy_add_header_rows()
,
tidy_add_n()
,
tidy_add_reference_rows()
,
tidy_add_term_labels()
,
tidy_add_variable_labels()
,
tidy_attach_model()
,
tidy_disambiguate_terms()
,
tidy_identify_variables()
,
tidy_plus_plus()
,
tidy_remove_intercept()
,
tidy_select_variables()
df <- Titanic %>% dplyr::as_tibble() %>% dplyr::mutate(Survived = factor(Survived, c("No", "Yes"))) df %>% glm( Survived ~ Class + Age + Sex, data = ., weights = .$n, family = binomial, contrasts = list(Age = contr.sum, Class = "contr.helmert") ) %>% tidy_and_attach() %>% tidy_add_contrasts()
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