Any ggplots side-by-side (or n plots on a grid)
The function grid.arrange()
in the gridExtra
package will combine multiple plots; this is how you put two side by side.
require(gridExtra)
plot1 <- qplot(1)
plot2 <- qplot(1)
grid.arrange(plot1, plot2, ncol=2)
This is useful when the two plots are not based on the same data, for example if you want to plot different variables without using reshape().
This will plot the output as a side effect. To print the side effect to a file, specify a device driver (such as pdf
, png
, etc), e.g.
pdf("foo.pdf")
grid.arrange(plot1, plot2)
dev.off()
or, use arrangeGrob()
in combination with ggsave()
,
ggsave("foo.pdf", arrangeGrob(plot1, plot2))
This is the equivalent of making two distinct plots using par(mfrow = c(1,2))
. This not only saves time arranging data, it is necessary when you want two dissimilar plots.
Appendix: Using Facets
Facets are helpful for making similar plots for different groups. This is pointed out below in many answers below, but I want to highlight this approach with examples equivalent to the above plots.
mydata <- data.frame(myGroup = c('a', 'b'), myX = c(1,1))
qplot(data = mydata,
x = myX,
facets = ~myGroup)
ggplot(data = mydata) +
geom_bar(aes(myX)) +
facet_wrap(~myGroup)
Update
the plot_grid
function in the cowplot
is worth checking out as an alternative to grid.arrange
. See the answer by @claus-wilke below and this vignette for an equivalent approach; but the function allows finer controls on plot location and size, based on this vignette.
As per my comment in Chase's answer, you can remove a lot of this stuff using element_blank
:
dat <- data.frame(x=runif(10),y=runif(10))
p <- ggplot(dat, aes(x=x, y=y)) +
geom_point() +
scale_x_continuous(expand=c(0,0)) +
scale_y_continuous(expand=c(0,0))
p + theme(axis.line=element_blank(),axis.text.x=element_blank(),
axis.text.y=element_blank(),axis.ticks=element_blank(),
axis.title.x=element_blank(),
axis.title.y=element_blank(),legend.position="none",
panel.background=element_blank(),panel.border=element_blank(),panel.grid.major=element_blank(),
panel.grid.minor=element_blank(),plot.background=element_blank())
It looks like there's still a small margin around the edge of the resulting .png when I save this. Perhaps someone else knows how to remove even that component.
(Historical note: Since ggplot2 version 0.9.2, opts
has been deprecated. Instead use theme()
and replace theme_blank()
with element_blank()
.)
Best Answer
Basically you have two options
or
Where the first removes all data points outside the given range and the second only adjusts the visible area. In most cases you would not see the difference, but if you fit anything to the data it would probably change the fitted values.
You can also use the shorthand function
xlim
(orylim
), which like the first option removes data points outside of the given range:For more information check the description of
coord_cartesian
.The RStudio cheatsheet for
ggplot2
makes this quite clear visually. Here is a small section of that cheatsheet:Distributed under CC BY.