library(ggplot2)
# Multiple plot function
#
# ggplot objects can be passed in ..., or to plotlist (as a list of ggplot objects)
# - cols: Number of columns in layout
# - layout: A matrix specifying the layout. If present, 'cols' is ignored.
#
# 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.
#
multiplot <- function(..., plotlist=NULL, file, cols=1, layout=NULL) {
library(grid)
# Make a list from the ... arguments and plotlist
plots <- c(list(...), plotlist)
numPlots = length(plots)
# If layout is NULL, then use 'cols' to determine layout
if (is.null(layout)) {
# Make the panel
# ncol: Number of columns of plots
# nrow: Number of rows needed, calculated from # of cols
layout <- matrix(seq(1, cols * ceiling(numPlots/cols)),
ncol = cols, nrow = ceiling(numPlots/cols))
}
if (numPlots==1) {
print(plots[[1]])
} else {
# Set up the page
grid.newpage()
pushViewport(viewport(layout = grid.layout(nrow(layout), ncol(layout))))
# Make each plot, in the correct location
for (i in 1:numPlots) {
# Get the i,j matrix positions of the regions that contain this subplot
matchidx <- as.data.frame(which(layout == i, arr.ind = TRUE))
print(plots[[i]], vp = viewport(layout.pos.row = matchidx$row,
layout.pos.col = matchidx$col))
}
}
}
# 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)
#
# multiplot(p1, p2, p3, p4, cols = 2)
#> `geom_smooth()` using method = 'loess'
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