Corset Plots - Visualizing Heterogeneity in Discrete Change Outcomes

This is the first release of the modest R package {ggcorset}. It is used to visualize discrete repeat measures data at 2 time points (such as pre- and post- data). The distribution of measurements at each time point is visualized using a half violin. Additionally, the trajectory of individual change is visualized by connecting these two points linearly, which can be filled to visualize the magnitude of change or other user-defined observed value. This method of visualization is ideal for showing the true heterogeneity of data.

The package relies on {ggplot2} to produce the visualizations. As such, the corset plot allows for easy integration with {ggplot2}, so that users can customize their visualizations as required. This package is geared towards users with limited experience in R, creating corset plots using data in either wide or long format using the functions.