ggstance

ggstance implements horizontal versions of common ggplot2 Geoms, Stats, and Positions.

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_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_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))