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ggcorset
View on CRAN: Click
here
Download and install ggcorset package within the R console
Install from CRAN:
install.packages("ggcorset")
Install from Github:
library("remotes")
install_github("cran/ggcorset")
Install by package version:
library("remotes")
install_version("ggcorset", "0.5.0")
Attach the package and use:
library("ggcorset")
Maintained by
Kyla Belisario
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-04-05
Latest Update: 2022-12-11
Description:
Corset plots are a visualization technique used strictly to visualize repeat measures
at 2 time points (such as pre- and post- data). The distribution of measurements are visualized at
each time point, whilst the trajectories of individual change are visualized by connecting the pre-
and post- values linearly. These lines can be coloured to represent the magnitude of 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.
How to cite:
Kyla Belisario (2022). ggcorset: The Corset Plot. R package version 0.5.0, https://cran.r-project.org/web/packages/ggcorset
Previous versions and publish date:
Other packages that cited ggcorset R package
View ggcorset citation profile
Other R packages that ggcorset depends,
imports, suggests or enhances
Functions, R codes and Examples using
the ggcorset R package
Some associated functions: drinkdays . gg_corset . gg_corset_elongated . theme_ggcorset .
Some associated R codes: drinkdays.R . gg_corset.R . gg_corset_elongated.R . utils.R . Full ggcorset package functions and examples
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