Justin Landis 07/20/2022
The R package ggside expands on the ggplot2 package. This package allows the user to add graphical information about one of the main panel’s axis. This is particularly useful for metadata for discrete axis, or summary graphics on a continuous axis such as a boxplot or a density distribution.
Please install from CRAN for the latest stable version of ggside. You can also install from the Github as seen below.
Using this package is similar to adding any additional layer to a ggplot. All geometries supported by ggside follow a pattern like geom_xside* or geom_yside* which will add that geometry to either the x side panel or the y side panel respectively. If you add geom_xsidedensity to a plot, then this places a density geometry in its own panel that is positioned by default above the main panel. This panel will share the same x axis of the main panel but will have an independent y axis. Take the following example from the ggplot2 readme.
library(ggplot2)
library(ggside)
#> Registered S3 method overwritten by 'ggside':
#> method from
#> +.gg ggplot2
ggplot(mpg, aes(displ, hwy, colour = class)) +
geom_point(size = 2) +
geom_xsidedensity(aes(y = after_stat(density)), position = "stack") +
geom_ysidedensity(aes(x = after_stat(density)), position = "stack") +
theme(axis.text.x = element_text(angle = 90, vjust = .5))
After version 0.3.0 you no longer need to use scale_(y|x)side(x|y)_*() to mix discrete and continuous axes. ggside geom’s have their default positional aesthetics x and y aesthetics to be prepended with ysidex and xsidey respectively under the hood. Now you may mix discrete and continuous axes with ease.
ggplot(mpg, aes(displ, hwy, colour = class)) +
geom_point(size = 2) +
geom_xsideboxplot(aes(y =class), orientation = "y") +
geom_ysidedensity(aes(x = after_stat(density)), position = "stack") +
scale_ysidex_continuous(guide = guide_axis(angle = 90), minor_breaks = NULL) +
theme(ggside.panel.scale = .3)
With version 0.2.0, more theme elements allow for better control over how side panels are rendered.
ggplot(iris, aes(Sepal.Width, Sepal.Length, fill = Species)) +
geom_point(aes(color = Species)) +
geom_xsidedensity(alpha = .3, position = "stack") +
geom_ysideboxplot(aes(x = Species), orientation = "x") +
scale_ysidex_discrete(guide = guide_axis(angle = 45)) +
theme_dark() +
theme(ggside.panel.scale = .3,
ggside.panel.border = element_rect(NA, "red", linewidth = 2),
ggside.panel.grid = element_line("black", linewidth = .1, linetype = "dotted"),
ggside.panel.background = element_blank()) +
guides(color = "none", fill = "none")
For a more detailed guide please see vignette('ggside_basic_usage') for more information.
If you find any issues or want to suggest an enhancement, please make a post at jtlandis/ggside.
The following section will summarize issues that are present on the current CRAN release. These will either be fixed on the main branch of this git repository, or currently in development to be fixed on one of the development branches. The current CRAN version of ggside is v0.3.0.