broom.helpers (version 1.0.0)

model_list_variables: List all the variables used in a model

Description

Including variables used only in an interaction.

Usage

model_list_variables(model)

# S3 method for default model_list_variables(model)

# S3 method for lavaan model_list_variables(model)

Arguments

model

a model object

Value

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())

See Also

Other model_helpers: model_get_contrasts(), model_get_model_frame(), model_get_model_matrix(), model_get_xlevels(), model_identify_variables(), model_list_contrasts(), model_list_terms_levels()

Examples

Run this code
# NOT RUN {
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()
}
# }

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