In Rkabacoff/qacStats: Statistical functions for QAC courses

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

glmplus is an enhanced version of general linear model for logistic regression. There are summary.glmplus and plot.glmplus in this package.

summary.glmplus

summary.glmplus provides, in addition to the baseR summary.glm, odds ratio and confidence interval.

library(glmplus)
data(mtcars)
glm_model <- glmplus(vs ~ cyl + mpg + hp, data=mtcars, family=binomial)
summary(glm_model)

plot.glmplus

plot.glmplus returns a ggplot object. The plot demonstrates the relationship between the given variable and the outcome binary variable.

library(glmplus)
data(mtcars)
glm_model <- glmplus(vs ~ cyl + mpg + hp, data=mtcars, family=binomial)
plot(glm_model, "hp")

plot(glm_model, "hp", "cyl")

plot(glm_model, "hp") + labs(y="Prob(V-shaped Engine)", 
                             x="Horsepower", 
                             title="Relationship of V-shape engine and horsepower",
                             subtitle="controlling for mpg and number of cylinders")