ggcorset: A Corset Plot Package to Visualize Heterogeneity in Discrete Outcome Changes Across Two Timepoints

This is the first release of the modest R package {ggcorset}, which serves as documentation of the corset plot. The corset plot 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 {ggcorset} package is geared towards users with limited experience in R, creating corset plots using data in either wide or long format. This 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