ggstance v0.3


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by Lionel Henry

Horizontal 'ggplot2' Components

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



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


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_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



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_barh Bars, rectangles with bases on y-axis
stat_counth Horizontal counting.
stat_summaryh Horizontal summary.
position_dodgev Vertical Positions
GeomBarh Base ggproto classes for ggstance
geom_boxploth Horizontal box and whiskers plot.
geom_histogramh Horizontal histograms and frequency polygons.
stat_xdensity Density computation on x axis.
stat_binh Horizontal binning.
stat_boxploth Horizontal boxplot computation.
geom_crossbarh Horizontal intervals: lines, crossbars & errorbars.
geom_violinh Horizontal violin plot.
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License GPL-3
LazyData true
RoxygenNote 5.0.1
Collate 'flip-aes.R' 'geom-barh.R' 'legend-draw.R' 'geom-boxploth.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-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 2016-11-15 16:48:48 UTC; lionel
Repository CRAN
Date/Publication 2016-11-16 08:16:37

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