Return a variable importance plot and coefficient plot from a linear model. Used to easily visualize the contributions of explanatory variables in a supervised model
auto_variable_contributions(data, formula, scale = TRUE)Arguments
- data
dataframe
- formula
formula
- scale
logical. If FALSE puts coefficients on original scale
Value
a ggplot object
Examples
iris %>%
framecleaner::create_dummies() %>%
auto_variable_contributions(
tidy_formula(., target = Petal.Width)
)
#> 1 column(s) have become 3 dummy columns
#> Loading required namespace: broom.mixed
iris %>%
auto_variable_contributions(
tidy_formula(., target = Species)
)
