Multiple ggplot2 charts on a single page



This post shows how to use the gridExtra library to combine several ggplot2 charts on the same figure. Several examples are provided, illustrating several ways to split the graphing window.

ggplot2 Section About Scatter

Mixing multiple graphs on the same page is a common practice. It allows to summarize a lot of information on the same figure, and is for instance widely used for scientific publication.

The gridExtra package makes it a breeze. It offers the grid.arrange() function that does exactly that. Its nrow argument allows to specify how to arrange the layout.

For more complex layout, the arrangeGrob() functions allows to do some nesting. Here are 4 examples to illustrate how gridExtra works:

# libraries
library(ggplot2)
library(gridExtra)
 
# Make 3 simple graphics:
g1 <- ggplot(mtcars, aes(x=qsec)) + geom_density(fill="slateblue")
g2 <- ggplot(mtcars, aes(x=drat, y=qsec, color=cyl)) + geom_point(size=5) + theme(legend.position="none")
g3 <- ggplot(mtcars, aes(x=factor(cyl), y=qsec, fill=cyl)) + geom_boxplot() + theme(legend.position="none")
g4 <- ggplot(mtcars , aes(x=factor(cyl), fill=factor(cyl))) +  geom_bar()
 
# Plots
grid.arrange(g2, arrangeGrob(g3, g4, ncol=2), nrow = 2)
grid.arrange(g1, g2, g3, nrow = 3)
grid.arrange(g2, arrangeGrob(g3, g4, ncol=2), nrow = 1)
grid.arrange(g2, arrangeGrob(g3, g4, nrow=2), nrow = 1)

Related chart types


Scatter
Heatmap
Correlogram
Bubble
Connected scatter
Density 2d



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