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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)
a ggplot object
dataframe
formula
logical. If FALSE puts coefficients on original scale
iris %>% framecleaner::create_dummies() %>% auto_variable_contributions( tidy_formula(., target = Petal.Width) ) iris %>% auto_variable_contributions( tidy_formula(., target = Species) )
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