ggplot2实现多图合并

multiple plots in one page

cookbook-R-multiplot

# 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))    }  }}

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) 

<pre name="code" class="plain">multiplot(p1, p2, p3, p4, cols=2)

layout <- matrix(c(1, 1, 1, 2, 2, rep(3, 5)), nrow = 2, byrow = TRUE)multiplot(plotlist = list(p1, p2, p3), layout = layout)

在ggplot画图中添加table

library(ggplot2)library(gridExtra)set.seed(1)mydata <- data.frame(a=1:50, b=rnorm(50))mytable <- cbind(sites=c("site 1","site 2","site 3","site 4"),mydata[10:13,])ggplot(mydata,aes(x=a,y=b)) +   geom_point(colour="blue") +   geom_point(data=mydata[10:13, ], aes(x=a, y=b), colour="red", size=5) +   annotation_custom(tableGrob(mytable), xmin=35, xmax=50, ymin=-2.5, ymax=-1)