ggstance v0.3.4


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Horizontal 'ggplot2' Components

A 'ggplot2' extension that provides flipped components: horizontal versions of 'Stats' and 'Geoms', and vertical versions of 'Positions'.




Important: This package has been superseded by ggplot2 3.3.0, which now has full native support for horizontality.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.


Get the development version from Github with:

# install.packages("devtools")

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()



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


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

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

In ggstance, you supply aesthetics in their natural order:


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

Horizontal boxplot

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:


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")

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 free-scales facetting

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))

Vertical positions

Functions in ggstance

Name Description
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.
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License GPL-3
LazyData true
Encoding UTF-8
RoxygenNote 7.1.0
Collate 'flip-aes.R' 'geom-barh.R' 'legend-draw.R' 'geom-boxploth.R' 'geom-colh.R' 'geom-crossbarh.R' 'geom-errorbarh.R' 'geom-histogramh.R' 'geom-linerangeh.R' 'geom-pointrangeh.R' 'geom-violinh.R' 'ggstance.R' 'position-dodgev.R' 'position-dodge2v.R' 'position-jitterdodgev.R' 'position-stackv.R' 'position.R' 'stat-binh.R' 'stat-boxploth.R' 'stat-counth.R' 'stat-summaryh.R' 'stat-xdensity.R'
NeedsCompilation no
Packaged 2020-04-02 15:43:42 UTC; lionel
Repository CRAN
Date/Publication 2020-04-02 16:40:02 UTC

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