patchwork

The goal of patchwork is to make it ridiculously simple to combine separate ggplots into the same graphic. As such it tries to solve the same problem as gridExtra::grid.arrange() but using an API that incites exploration and iteration.

Installation

You can install patchwork from github with:

# install.packages("devtools")
devtools::install_github("thomasp85/patchwork")

Example

The usage of patchwork is simple: just add plots together!

library(ggplot2)
library(patchwork)

p1 <- ggplot(mtcars) + geom_point(aes(mpg, disp))
p2 <- ggplot(mtcars) + geom_boxplot(aes(gear, disp, group = gear))

p1 + p2

you are of course free to also add the plots together as part of the same plotting operation:

ggplot(mtcars) +
  geom_point(aes(mpg, disp)) +
  ggplot(mtcars) + 
  geom_boxplot(aes(gear, disp, group = gear))

layouts can be specified by adding a plot_layout() call to the assemble. This lets you define the dimensions of the grid and how much space to allocate to the different rows and columns

p1 + p2 + plot_layout(ncol = 1, heights = c(3, 1))

If you need to add a bit of space between your plots you can use plot_spacer() to fill a cell in the grid with nothing

p1 + plot_spacer() + p2

You can make nested plots layout by wrapping part of the plots in parentheses - in these cases the layout is scoped to the different nesting levels

p3 <- ggplot(mtcars) + geom_smooth(aes(disp, qsec))
p4 <- ggplot(mtcars) + geom_bar(aes(carb))

p4 + {
  p1 + {
    p2 +
      p3 +
      plot_layout(ncol = 1)
  }
} +
  plot_layout(ncol = 1)
#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

Advanced features

In addition to adding plots and layouts together, patchwork defines some other operators that might be of interest. / will behave like + but put the left and right side in the same nesting level (as opposed to putting the right side into the left sides nesting level). Observe:

(p1 + p2) + p3 + plot_layout(ncol = 1)
#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

this is basically the same as without braces (just like standard math arithmetic) - the plots are added sequentially to the same nesting level. Now look:

(p1 + p2) / p3 + plot_layout(ncol = 1)
#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

Now p1 + p2 and p3 is on the same level...

There are two additional operators that are used for a slightly different purpose, namely to reduce code repetition. Consider the case where you want to change the theme for all plots in an assemble. Instead of modifying all plots individually you can use * or ^ to add elements to all subplots. The two differ in that * will only affect the plots on the current nesting level:

(p1 + (p2 + p3) + p4 + plot_layout(ncol = 1)) * theme_bw()
#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

whereas ^ will recurse into nested levels:

(p1 + (p2 + p3) + p4 + plot_layout(ncol = 1)) ^ theme_bw()
#> `geom_smooth()` using method = 'loess' and formula 'y ~ x'

This is all it does for now, but stay tuned as more functionality is added, such as collapsing guides, etc...