View source: R/tidy_group_by.R
| tidy_group_by | R Documentation |
Indicates that results should be grouped. By default
(group_by = auto_group_by()), results will be grouped according to the
y.level column (for multinomial models) or the component column
(multi-components models) if any.
tidy_group_by(
x,
group_by = auto_group_by(),
group_labels = NULL,
model = tidy_get_model(x)
)
auto_group_by()
x |
( |
group_by |
( |
group_labels |
( |
model |
(a model object, e.g. |
The x tibble with, if relevant, an additional group_by column.
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(),
tidy_select_variables()
mod <- multinom(Species ~ Petal.Width + Petal.Length, data = iris)
mod |> tidy_and_attach() |> tidy_group_by()
mod |>
tidy_and_attach() |>
tidy_group_by(group_labels = c(versicolor = "harlequin blueflag"))
mod |> tidy_and_attach() |> tidy_group_by(group_by = NULL)
mod |>
tidy_and_attach() |>
tidy_identify_variables() |>
tidy_group_by(group_by = variable)
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