我已经彻底搜索过,但只发现了这个问题" Highlight data individually with facet_grid in R"。
dt <- data.frame(
a = rep(letters[1:4],each=250),
dirct = rep(c("Up","Down"),500),
term = rep(letters[1:25],400),
logp = runif(1000)
)
ggplot(dt,aes(term,logp,fill=dirct))+
facet_grid(.~a) +
geom_bar(position="dodge",width=0.8,stat="identity")+
scale_fill_manual("dirct",values=c("red","blue"))+
coord_flip()+
theme(axis.text.y=element_text(colour=c(rep("black",10),rep("red",15))))+
geom_rect(aes(xmin=rep(0.5,1000),xmax=rep(10.5,1000),
ymin=-Inf,ymax=Inf),fill="green",alpha=30/200,inherit.aes=FALSE)+
geom_rect(aes(xmin=rep(10.5,1000),xmax=rep(25.5,1000),
ymin=-Inf,ymax=Inf),fill="gray",alpha=30/200,inherit.aes=FALSE)+
geom_vline(aes(xintercept=1:25),color="white") +
geom_hline(aes(yintercept=seq(0,1,0.25)),color="white") +
geom_bar(position="dodge",width=0.8,stat="identity")
在这里,我实现了如何突出多个方面的区域。 我的问题是:
是否可以添加感兴趣的区域作为背景。所以它不需要重绘geom_bar
感谢您的回复!
答案 0 :(得分:1)
我无法解决barplot的重新绘制问题,但我确实设法解决了透明度问题。
green.data <- data.frame(xmin = 0.5, xmax = 10.5, ymin = -Inf, ymax = Inf, a = c("a", "b", "c", "d"))
# grey.data <- data.frame(xmin = 10.5, xmax = 25.5, ymin = -Inf, ymax = Inf, a = c("a", "b", "c", "d"))
ggplot() +
geom_bar(data = dt, aes(x = term, y = logp, fill = dirct), position = "dodge", width = 0.8, stat = "identity") +
geom_rect(data = green.data, aes(xmin = xmin, ymin = ymin, xmax = xmax, ymax = ymax), fill = "green", alpha = 15/100) +
# geom_rect(data = grey.data, aes(xmin = xmin, ymin = ymin, xmax = xmax, ymax = ymax), fill = "grey", alpha = 0.2) +
geom_bar(data = dt, aes(x = term, y = logp, fill = dirct), position = "dodge", width = 0.8, stat = "identity") +
scale_fill_manual("dirct", values = c("red", "blue")) +
coord_flip() +
facet_grid(. ~ a)