ggcorset: The Corset Plot

Corset plots are a new visualization technique, which are used strictly to visualize repeat measures at 2 time points (such as pre- and post- data). The distribution of measurements at each time point are visualized using half violins, whilst the trajectories of individual change are visualized via spaghetti plots by connecting these two points linearly. These lines can be coloured to represent percent change or other user-defined value. This method of visualization is ideal for showing the heterogeneity of data, including differences by sub-groups. The package relies on 'ggplot2' allowing for easy integration so that users can customize their visualizations as required. Users can create corset plots using data in either wide or long format using the functions gg_corset() or gg_corset_elongated(), respectively.

Version:	0.1.0
Depends:	R (≥ 3.5.0)
Imports:	ggplot2, dplyr, gghalves, ggstance
Published:	2022-04-05
Author:	Kyla Belisario
Maintainer:	Kyla Belisario <kyla_belisario at protonmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	ggcorset results

Documentation:

Reference manual:

ggcorset.pdf

Downloads:

Package source:	ggcorset_0.1.0.tar.gz
Windows binaries:	r-devel: ggcorset_0.1.0.zip, r-release: ggcorset_0.1.0.zip, r-oldrel: ggcorset_0.1.0.zip
macOS binaries:	r-release (arm64): ggcorset_0.1.0.tgz, r-oldrel (arm64): ggcorset_0.1.0.tgz, r-release (x86_64): ggcorset_0.1.0.tgz, r-oldrel (x86_64): ggcorset_0.1.0.tgz

Linking:

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