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Software . 2021
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ggcorset: A Corset Plot Package to Visualize Heterogeneity in Discrete Outcome Changes Across Two Timepoints

Authors: Kyla Belisario;

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

Abstract

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.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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