Given a dataframe with some factor columns and a character vector of which
columns you've already set yourself, look at all the other factor columns and
get a glimpse at how they're treated by the defaults specified in
options('contrasts')
. Reference level is assumed to be the first level for
unordered factors and nonexistent for ordered factors.
.glimpse_default_factors(
model_data,
set_factors = NULL,
show_one_level_factors = FALSE,
minimal = TRUE,
verbose = TRUE
)
A table with information about the contrasts for all remaining factor columns
Data to be passed to a model fitting function
Explicitly set columns to ignore
Logical, should factors with only one level be included in the output? Default is FALSE to omit
Logical, default TRUE, whether to omit the orthogonal, centered, dropped_trends, and explicitly_set columns from the output table
Logical, defaults to TRUE, whether messages should be printed