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ggpcp  

Parallel Coordinate Plots in the 'ggplot2' Framework
View on CRAN: Click here


Download and install ggpcp package within the R console
Install from CRAN:
install.packages("ggpcp")

Install from Github:
library("remotes")
install_github("cran/ggpcp")

Install by package version:
library("remotes")
install_version("ggpcp", "0.2.0")



Attach the package and use:
library("ggpcp")
Maintained by
Heike Hofmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-28
Latest Update: 2022-11-28
Description:
Modern Parallel Coordinate Plots have been introduced in the 1980s as a way to visualize arbitrarily many numeric variables. This Grammar of Graphics implementation also incorporates categorical variables into the plots in a principled manner. By separating the data managing part from the visual rendering, we give full access to the users while keeping the number of parameters manageably low.
How to cite:
Heike Hofmann (2022). ggpcp: Parallel Coordinate Plots in the 'ggplot2' Framework. R package version 0.2.0, https://cran.r-project.org/web/packages/ggpcp. Accessed 18 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ggpcp R package
View ggpcp citation profile
Other R packages that ggpcp depends, imports, suggests or enhances
Complete documentation for ggpcp
Functions, R codes and Examples using the ggpcp R package
Some associated functions: Carcinoma . GeomPcp . aes_pcp . geom_pcp . geom_pcp_axes . geom_pcp_boxes . geom_pcp_labels . ggpcp-package . nasa . pcp_arrange . pcp_scale . pcp_select . theme_pcp . 
Some associated R codes: data.R . ggpcp-package.R . theme_pcp.R .  Full ggpcp package functions and examples
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