Let’s visualize a GLM (logistic regression). First laod some data: data(tips, package = "reshape2") Compute a glm: glm_tips <- glm(sex ~ tip, data = tips, family = "binomial") Plot the model using mosaic: library(mosaic) ## Warning: package 'dplyr' was built under R version 3.5.1 plotModel(glm_tips) The curve does not look really s-typed (ogive) but that’s ok because the data suggest not a strong trend. The plot is not very beautiful either, but hey - it’s quick to produce …