plotor

plotor makes it easy to generate clear, publication-ready odds-ratio plots and tables from logistic regression models.

If you work with binary outcomes, plotor helps you go from model → interpretation in seconds.

What plotor does

Produces clean, ggplot2-based odds ratio plots
Generates tidy odds ratio tables (with optional mini-plots)
Provides automated assumption checks for logistic regression
Works seamlessly with the tidyverse

Example outputs

Odds ratio plot

A single function call gives you a polished OR plot:

Odds ratio plot showing likelihood of survival of the Titanic disaster by class, sex and age

See full plot options →

Odds ratio table with mini-plot

Perfect for reports and publications:

Odds ratio table showing likelihood of survival of the Titanic disaster by class, sex and age

See full table output options →

Automated assumption checks

plotor includes built-in checks to help validate your logistic regression model:

Console output showing the results of logistic regression assumption checks

See full assumption check output →

Installation

Stable release (CRAN):

install.packages("plotor")

Using {pak}:

# install.packages("pak")
pak::pak("plotor")

Development version:

# install.packages("pak")
pak::pak("craig-parylo/plotor")

Minimal example

library(plotor)

# load the titanic dataset from the package
df_titanic <- get_df_titanic()

# make a logistic regression model using this data
model <- stats::glm(
  data = df_titanic,
  formula = Survived ~ Class + Sex + Age,
  family = "binomial"
)

# plot the odds ratios
plot_or(model)

Learn more

Plotting odds ratios: ?plot_or
Tabulating odds ratios: ?table_or
Assumption checks: ?check_or

Full documentation: https://craig-parylo.github.io/plotor/

README