broom.helpers (version 1.0.0)

model_identify_variables: Identify for each coefficient of a model the corresponding variable

Description

It will also identify interaction terms and intercept(s).

Usage

model_identify_variables(model)
# S3 method for default
model_identify_variables(model)
# S3 method for lavaan
model_identify_variables(model)

Arguments

model

a model object

Value

A tibble with four columns:

• term: coefficients of the model

• variable: the corresponding variable

• var_class: class of the variable (cf. stats::.MFclass())

• var_type: "continuous", "categorical", "intercept" or "interaction"

See Also

tidy_identify_variables()

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

Examples

# 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_identify_variables()

iris %>%
  lm(
    Sepal.Length ~ poly(Sepal.Width, 2) + Species,
    data = .,
    contrasts = list(Species = contr.sum)
  ) %>%
  model_identify_variables()
# }

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