我正在尝试覆盖来自2个独立data.frames的geom_bar
的条形图。
dEQ
lab perc
1 lmP 55.9
2 lmN 21.8
3 Nt 0.6
4 expG 5.6
5 expD 0.0
6 prbN 11.2
7 prbP 5.0
和
LMD
lab perc
1 lmP 16.8
2 lmN 8.9
3 Nt 0.0
4 expG 0.0
5 expD 0.0
6 prbN 0.0
7 prbP 0.0
第一个图是:
p <- ggplot(dEQ, aes(lab, perc)) +
xlab(xlabel) + ylab(ylabel) +
geom_bar(stat="identity", colour="blue", fill="darkblue") +
geom_text(aes(vecX, vecYEQ+1.5, label=vecYlbEQ), data=dEQ, size=8.5) +
theme_bw() +
opts(axis.text.x = theme_text(size = 20, face = "bold", colour = "black")) +
opts(axis.text.y = theme_text(size = 20, face = "bold", colour = "black")) +
coord_flip() +
scale_y_continuous(breaks=c(0,10,20,30,40,50,60),
labels=c("0","","20","","40","","60"),
limits = c(0, 64), expand = c(0,0))
print(p)
但我希望与data.frame geom_bar
LMD
进行重叠
ggplot(LMD, aes(lab, perc)) +
geom_bar(stat="identity", colour="blue", fill="red", add=T)
我希望有一个传奇。
答案 0 :(得分:20)
这是一个例子:
p <- ggplot(NULL, aes(lab, perc)) +
geom_bar(aes(fill = "dEQ"), data = dEQ, alpha = 0.5) +
geom_bar(aes(fill = "LMD"), data = LMD, alpha = 0.5)
p
但我向rbind
推荐他们并通过躲避来绘制:
dEQ$name <- "dEQ"
LMD$name <- "LMD"
d <- rbind(dEQ, LMD)
p <- ggplot(d, aes(lab, perc, fill = name)) + geom_bar(position = "dodge")
答案 1 :(得分:1)
虽然答案不是 OP 的直接要求,但由于此问题与 SO 上的许多后续问题相关联,这些问题已通过提供此问题的链接而关闭,因此我提出了一种 bar(s) within bar plot
构造方法ggplot2中的方法。
一个更大的条形图中的两个条形(按组划分)的示例。
library(tidyverse)
set.seed(40)
df <- data_frame(name = LETTERS[1:10], provision = rnorm(mean = 100, sd = 20, n = 10),
expenditure = provision - rnorm(mean = 25, sd = 10, n = 10))
df %>% mutate(savings = provision - expenditure) %>%
pivot_longer(cols = c("expenditure", "savings"), names_to = "Exp", values_to = "val") %>%
ggplot() + geom_bar(aes(x= name, y = provision/2), stat = "identity", fill = "blue", width = 0.9, alpha = 0.3) +
geom_col(aes(x=name,y=val, fill = Exp), position ="dodge", width = 0.7) +
scale_y_continuous(name = "Amount in \u20b9")