multiplot: Multiple plot function for ggplot2 plots

In dynverse/scaterlegacy: Single-cell analysis toolkit for gene expression data in R

Description

Place multiple ggplot plots on one page.

Usage

multiplot(..., plotlist = NULL, cols = 1, layout = NULL)

Arguments

..., 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, cols is ignored.

Details

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)/

Value

a ggplot plot object

Examples

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)

dynverse/scaterlegacy documentation built on Feb. 17, 2020, 5:07 a.m.