tidy_glm {autostats}R Documentation

tidy glm

Description

Runs either a linear regression, logistic regression, or multinomial classification. The model is automatically determined based off the nature of the target variable.

Usage

tidy_glm(data, formula)

Arguments

data

dataframe

formula

formula

Value

glm model

Examples


# linear regression
iris %>%
tidy_glm(
tidy_formula(., target = Petal.Width)) -> glm1

glm1

glm1 %>%
visualize_model()

# multinomial classification

tidy_formula(iris, target = Species) -> species_form

iris %>%
tidy_glm(species_form) -> glm2


glm2 %>%
visualize_model()

#  logistic regression
iris %>%
dplyr::filter(Species != "setosa") %>%
tidy_glm(species_form) -> glm3

suppressWarnings({
glm3 %>%
visualize_model()})

[Package autostats version 0.4.0 Index]