multiplot {scater} | R Documentation |
Place multiple ggplot
plots on one page.
multiplot(..., plotlist = NULL, cols = 1, layout = NULL)
..., plotlist |
ggplot objects can be passed in ..., or to plotlist (as a list of ggplot objects) |
cols |
numeric scalar giving the number of columns in the layout |
layout |
a matrix specifying the layout. If present, |
If the layout is something like
matrix(c(1,2,3,3), nrow=2, byrow=TRUE)
, then plot 1 will go in the
upper left, 2 will go in the upper right, and 3 will go all the way across
the bottom. There is no way to tweak the relative heights or widths of the
plots with this simple function. It was adapted from
http://www.cookbook-r.com/Graphs/Multiple_graphs_on_one_page_(ggplot2)/
a ggplot
plot object
library(ggplot2) ## This example uses the ChickWeight dataset, which comes with ggplot2 ## First plot p1 <- ggplot(ChickWeight, aes(x = Time, y = weight, colour = Diet, group = Chick)) + geom_line() + ggtitle("Growth curve for individual chicks") ## Second plot p2 <- ggplot(ChickWeight, aes(x = Time, y = weight, colour = Diet)) + geom_point(alpha = .3) + geom_smooth(alpha = .2, size = 1) + ggtitle("Fitted growth curve per diet") ## Third plot p3 <- ggplot(subset(ChickWeight, Time == 21), aes(x = weight, colour = Diet)) + geom_density() + ggtitle("Final weight, by diet") ## Fourth plot p4 <- ggplot(subset(ChickWeight, Time == 21), aes(x = weight, fill = Diet)) + geom_histogram(colour = "black", binwidth = 50) + facet_grid(Diet ~ .) + ggtitle("Final weight, by diet") + theme(legend.position = "none") # No legend (redundant in this graph) ## Combine plots and display multiplot(p1, p2, p3, p4, cols = 2)