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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))

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Version

Install

install.packages('ggstance')

Monthly Downloads

8,441

Version

0.3

License

GPL-3

Maintainer

Lionel Henry

Last Published

November 16th, 2016

Functions in ggstance (0.3)

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.