mts*_*mts 9 plot r ggplot2 gridextra
我想要两个情节+他们的传奇的组合情节如下:
library(ggplot2)
library(grid)
library(gridExtra)
dsamp <- diamonds[sample(nrow(diamonds), 1000), ]
p1 <- qplot(price, carat, data=dsamp, colour=clarity)
p2 <- qplot(price, depth, data=dsamp, colour=clarity)
g <- ggplotGrob(p1 + theme(legend.position="bottom"))$grobs
legend <- g[[which(sapply(g, function(x) x$name) == "guide-box")]]
grid.arrange(arrangeGrob(p1+theme(legend.position="right"),p2+theme(legend.position="none"),legend,ncol=3,widths=c(3/7,3/7,1/7)))
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但是我不想猜测图和图例的宽度(并指定ncol)但是从中提取p1并p2 如此处所示.
所以我希望我需要这样的东西(来自链接的改编代码):
grid_arrange_shared_legend_row <- function(...) {
plots <- list(...)
g <- ggplotGrob(plots[[1]] + theme(legend.position="right"))$grobs
legend <- g[[which(sapply(g, function(x) x$name) == "guide-box")]]
lwidth <- sum(legend$width)
grid.arrange(
do.call(arrangeGrob, lapply(plots, function(x)
x + theme(legend.position="none"))),
legend,
ncol = length(plots)+1,
widths = unit.c(rep(unit(1, "npc") - lwidth, length(plots)), lwidth))
}
grid_arrange_shared_legend_row(p1, p2)
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但这并不是将两个图排列成一行而是一列:
这个问题类似于这个问题,但不同之处在于我也要求改编宽度.我正在使用代码提取来自该问题+答案和github.
你为什么不使用facetting?
library(reshape2)
dmelt <- melt(dsamp, id.vars = c("price", "clarity"), measure.vars = c("carat", "depth"))
ggplot(dmelt, aes(x = price, y = value, color = clarity)) +
geom_point() +
facet_wrap(~ variable, scales = "free")
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