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ggstance

Important: This package has been superseded by ggplot2 3.3.0, which now has full native support for horizontality. The ggstance package will continue to be maintained for some time, but please consider switching to ggplot2.

Installation

Get the development version from Github with:

# install.packages("devtools")
devtools::install_github("lionel-/ggstance")

Horizontal geoms

While coord_flip() can only flip a plot as a whole, ggstance provides flipped versions of Geoms, Stats and Positions. This makes it easier to build horizontal layer or use vertical positioning (e.g. vertical dodging). Also, horizontal Geoms draw horizontal legend keys to keep the appearance of your plots consistent.

Horizontal Geoms:

  • geom_barh()
  • geom_colh()
  • geom_histogramh()
  • geom_linerangeh()
  • geom_pointrangeh()
  • geom_errorbarh()
  • geom_crossbarh()
  • geom_boxploth()
  • geom_violinh()

Horizontal Stats:

  • stat_binh()
  • stat_boxploth()
  • stat_counth()
  • stat_xdensity()
  • stat_summaryh()

Vertical Positions:

  • position_dodgev()
  • position_dodge2v()
  • position_nudgev()
  • position_fillv()
  • position_stackv()
  • position_jitterdodgev()

Examples

Basics

To create a horizontal layer in ggplot2 with coord_flip(), you have to supply aesthetics as if they were to be drawn vertically:

library("ggplot2")

# Vertical
ggplot(mpg, aes(class, hwy, fill = factor(cyl))) +
  geom_boxplot()

# Horizontal with coord_flip()
ggplot(mpg, aes(class, hwy, fill = factor(cyl))) +
  geom_boxplot() +
  coord_flip()

In ggstance, you supply aesthetics in their natural order:

library("ggstance")

# Horizontal with ggstance
ggplot(mpg, aes(hwy, class, fill = factor(cyl))) +
  geom_boxploth()

Facetting with Free Scales

Some plots are hard to produce with coord_flip(). One case is facetting with free scales. Here is an example from @smouksassi:

library("ggplot2")
library("ggstance")

df <- data.frame(
  Group = factor(rep(1:3, each = 4), labels = c("Drug A", "Drug B", "Control")),
  Subject = factor(rep(1:6, each = 2), labels = c("A", "B", "C", "D", "E", "F")),
  Result = rnorm(12)
)

vertical <- ggplot(df, aes(Subject, Result))+
  geom_boxplot(aes(fill = Group))+
  facet_grid(. ~ Group, scales = "free_x")
vertical

How do we flip this plot? With coord_flip(), the free scales are not flipped correctly:

vertical + coord_flip()
vertical + facet_grid(Group ~ ., scales = "free_x") + coord_flip()

On the other hand a ggstance horizontal layer will work properly:

horizontal <- ggplot(df, aes(Result, Subject))+
  geom_boxploth(aes(fill = Group))+
  facet_grid(Group ~ ., scales = "free_y")
horizontal

Using vertical positions

In this example we use vertical dodging to align measurements within subgroups.

data <- expand.grid(
  Group = c("A", "B"),
  Subgroup = c("a", "b", "c"),
  y = 1:10
)
data$y <- sample(1:4, replace = TRUE, size = nrow(data))

ggplot(data, aes(y, Group, colour = Subgroup)) +
  stat_sum(position = position_dodgev(height = 0.5))

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Version

Install

install.packages('ggstance')

Monthly Downloads

8,441

Version

0.3.4

License

GPL-3

Maintainer

Lionel Henry

Last Published

April 2nd, 2020

Functions in ggstance (0.3.4)

draw_key

Horizontal key drawing functions
geom_boxploth

Horizontal box and whiskers plot.
geom_crossbarh

Horizontal intervals: lines, crossbars & errorbars.
mean_se_h

Calculate mean and standard error
geom_histogramh

Horizontal histograms and frequency polygons.
position_dodgev

Vertical Positions
GeomBarh

Base ggproto classes for ggstance
geom_violinh

Horizontal violin plot.
hmisc_h

Horizontal versions of summary functions from Hmisc
stat_xdensity

Density computation on x axis.
geom_barh

Bars, rectangles with bases on y-axis
stat_binh

Horizontal binning.
stat_boxploth

Horizontal boxplot computation.
stat_counth

Horizontal counting.
stat_summaryh

Horizontal summary.