Add term labels
Will add term labels in a label column, based on:
labels provided in labels argument if provided;
factor levels for categorical variables coded with
treatment, SAS or sum contrasts (the label could be
customized with categorical_terms_pattern argument);
variable labels when there is only one term per variable;
term name otherwise.
tidy_add_term_labels(
x,
labels = NULL,
interaction_sep = " * ",
categorical_terms_pattern = "{level}",
model = tidy_get_model(x),
quiet = FALSE,
strict = FALSE
)x |
a tidy tibble |
labels |
an optional named list or named vector of custom term labels |
interaction_sep |
separator for interaction terms |
categorical_terms_pattern |
a glue pattern for
labels of categorical terms with treatment or sum contrasts
(see examples and |
model |
the corresponding model, if not attached to |
quiet |
logical argument whether broom.helpers should not return a message when requested output cannot be generated. Default is FALSE |
strict |
logical argument whether broom.helpers should return an error when requested output cannot be generated. Default is FALSE |
If the variable_label column is not yet available in x,
tidy_add_variable_labels() will be automatically applied.
If the contrasts column is not yet available in x,
tidy_add_contrasts() will be automatically applied.
It is possible to pass a custom label for any term in labels,
including interaction terms.
Other tidy_helpers:
tidy_add_coefficients_type(),
tidy_add_contrasts(),
tidy_add_estimate_to_reference_rows(),
tidy_add_header_rows(),
tidy_add_n(),
tidy_add_reference_rows(),
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"))) %>%
labelled::set_variable_labels(
Class = "Passenger's class",
Sex = "Sex"
)
mod <- df %>%
glm(Survived ~ Class * Age * Sex, data = ., weights = .$n, family = binomial)
mod %>%
tidy_and_attach() %>%
tidy_add_term_labels()
mod %>%
tidy_and_attach() %>%
tidy_add_term_labels(
interaction_sep = " x ",
categorical_terms_pattern = "{level} / {reference_level}"
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