1.制造一些图
制造一些图片，为后续的操作做准备
library(ggplot2)# This example uses the ChickWeight dataset, which comes with ggplot2# First plotp1 <- ggplot(ChickWeight, aes(x=Time, y=weight, colour=Diet, group=Chick)) +
geom_line() +
ggtitle("Growth curve for individual chicks")# Second plotp2 <- 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 plotp3 <- ggplot(subset(ChickWeight, Time==21), aes(x=weight, colour=Diet)) +
geom_density() +
ggtitle("Final weight, by diet")# Fourth plotp4 <- 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)图片列表
使用ggarrange函数进行合并，可指定列和行
library(ggpubr)
plist <- list(p1, p2, p3, p4)do.call("ggarrange", c(plist, ncol=2, nrow=2))使用一些其他的也可以例如cowplot的函数和grid.arrange函数，但是我更加喜欢ggarrange.
作者：LeoinUSA
链接：https://www.jianshu.com/p/46058eb33e10