View source: R/tidy_select_variables.R
tidy_select_variables | R Documentation |
Will remove unselected variables from the results.
To remove the intercept, use tidy_remove_intercept()
.
tidy_select_variables(x, include = everything(), model = tidy_get_model(x))
x |
( |
include |
( |
model |
(a model object, e.g. |
If the variable
column is not yet available in x
,
tidy_identify_variables()
will be automatically applied.
The x
tibble limited to the included variables (and eventually the intercept),
sorted according to the include
parameter.
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_pairwise_contrasts()
,
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()
df <- Titanic |>
dplyr::as_tibble() |>
dplyr::mutate(Survived = factor(Survived))
res <-
glm(Survived ~ Class + Age * Sex, data = df, weights = df$n, family = binomial) |>
tidy_and_attach() |>
tidy_identify_variables()
res
res |> tidy_select_variables()
res |> tidy_select_variables(include = "Class")
res |> tidy_select_variables(include = -c("Age", "Sex"))
res |> tidy_select_variables(include = starts_with("A"))
res |> tidy_select_variables(include = all_categorical())
res |> tidy_select_variables(include = all_dichotomous())
res |> tidy_select_variables(include = all_interaction())
res |> tidy_select_variables(
include = c("Age", all_categorical(dichotomous = FALSE), all_interaction())
)
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