I would like to place two plots side by side using the ggplot2 package, i.e. do the equivalent of par(mfrow=c(1,2))
.
For example, I would like to have t
ggplot2 is based on grid graphics, which provide a different system for arranging plots on a page. The par(mfrow...)
command doesn't have a direct equivalent, as grid objects (called grobs) aren't necessarily drawn immediately, but can be stored and manipulated as regular R objects before being converted to a graphical output. This enables greater flexibility than the draw this now model of base graphics, but the strategy is necessarily a little different.
I wrote grid.arrange()
to provide a simple interface as close as possible to par(mfrow)
. In its simplest form, the code would look like:
library(ggplot2)
x <- rnorm(100)
eps <- rnorm(100,0,.2)
p1 <- qplot(x,3*x+eps)
p2 <- qplot(x,2*x+eps)
library(gridExtra)
grid.arrange(p1, p2, ncol = 2)
More options are detailed in this vignette.
One common complaint is that plots aren't necessarily aligned e.g. when they have axis labels of different size, but this is by design: grid.arrange
makes no attempt to special-case ggplot2 objects, and treats them equally to other grobs (lattice plots, for instance). It merely places grobs in a rectangular layout.
For the special case of ggplot2 objects, I wrote another function, ggarrange
, with a similar interface, which attempts to align plot panels (including facetted plots) and tries to respect the aspect ratios when defined by the user.
library(egg)
ggarrange(p1, p2, ncol = 2)
Both functions are compatible with ggsave()
. For a general overview of the different options, and some historical context, this vignette offers additional information.