I have been using jtools::plot_summs to plot regression estimates for a series of logistic regression models. I have been asked to do this plot but using an odds ratio for reporting the coefficients. Is this possible? I've tried the following options with dummy data, but I don't entirely understand the jtools documentation and am uncertain if either the exp = TRUE or the scale = TRUE gets me what I need:
library(jtools)
library(ggstance)
library(broom.mixed)
data("mtcars")
mylogit.m1 <- glm(am ~ cyl, data = mtcars, family = "binomial")
mylogit.m2 <- glm(am ~ cyl + hp, data = mtcars, family = "binomial")
mylogit.m3 <- glm(am ~ cyl + hp + wt, data = mtcars, family = "binomial")
summary(mylogit.m1)
summary(mylogit.m2)
summary(mylogit.m3)
plot_summs(mylogit.m1, mylogit.m2, mylogit.m3, main.title = "Basic")
plot_summs(mylogit.m1, mylogit.m2, mylogit.m3, exp = TRUE, main.title = "exp option")
plot_summs(mylogit.m1, mylogit.m2, mylogit.m3, scale = TRUE, main.title = "scale option")
default plot output
exp = true plot output
scale= TRUE plot out