List all the variables used in a model
Including variables used only in an interaction.
model_list_variables(model, labels = NULL, only_variable = FALSE) ## Default S3 method: model_list_variables(model, labels = NULL, only_variable = FALSE) ## S3 method for class 'lavaan' model_list_variables(model, labels = NULL, only_variable = FALSE)
model |
a model object |
labels |
an optional named list or named vector of custom variable labels |
only_variable |
if |
A tibble with three columns:
variable: the corresponding variable
var_class: class of the variable (cf. stats::.MFclass())
label_attr: variable label defined in the original data frame
with the label attribute (cf. labelled::var_label())
var_label: a variable label (by priority, labels if defined,
label_attr if available, otherwise variable)
Other model_helpers:
model_compute_terms_contributions(),
model_get_assign(),
model_get_coefficients_type(),
model_get_contrasts(),
model_get_model_frame(),
model_get_model_matrix(),
model_get_model(),
model_get_nlevels(),
model_get_n(),
model_get_offset(),
model_get_response(),
model_get_terms(),
model_get_weights(),
model_get_xlevels(),
model_identify_variables(),
model_list_contrasts(),
model_list_terms_levels()
Titanic %>%
dplyr::as_tibble() %>%
dplyr::mutate(Survived = factor(Survived, c("No", "Yes"))) %>%
glm(
Survived ~ Class + Age : Sex,
data = ., weights = .$n,
family = binomial
) %>%
model_list_variables()
iris %>%
lm(
Sepal.Length ~ poly(Sepal.Width, 2) + Species,
data = .,
contrasts = list(Species = contr.sum)
) %>%
model_list_variables()
if (requireNamespace("gtsummary")) {
glm(
response ~ poly(age, 3) + stage + grade * trt,
na.omit(gtsummary::trial),
family = binomial,
) %>%
model_list_variables()
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.