R 在ggplot点阵图中为垂直线添加第二个图例

R 在ggplot点阵图中为垂直线添加第二个图例,r,ggplot2,R,Ggplot2,以下是我创建的ggplot点图示例: 为此,我使用了以下代码: mtcars$cyl<-as.character(mtcars$cyl) ggplot( mtcars, aes(fill=cyl, y=gear, x=mpg)) + geom_line(aes(group = gear)) + geom_vline(xintercept = mean(mtcars$mpg), linetype="dotted", color =

以下是我创建的ggplot点图示例:

为此,我使用了以下代码:

mtcars$cyl<-as.character(mtcars$cyl)


ggplot(
   mtcars, 
  aes(fill=cyl, 
  y=gear, 
  x=mpg)) + 

  geom_line(aes(group = gear)) +
  geom_vline(xintercept = mean(mtcars$mpg), linetype="dotted", 
         color = "black", size=1) +

  geom_point(aes(color = cyl),size=5) +
  theme_bw() +
  theme(axis.line = element_line(colour = "black"),
    panel.grid.major = element_blank(),
    panel.grid.minor = element_blank(),
    panel.border = element_blank(),
    panel.background = element_blank())

mtcars$cyl这可以是一种解决方案:

library(tidyverse)

mtcars$cyl<-as.character(mtcars$cyl)

d_me <- 
  mtcars %>% 
  summarize(me =  mean(mpg)) %>% 
  mutate(var = "overall \n mean")


mtcars %>% 
ggplot(
  aes(fill=cyl, 
      y=gear, 
      x=mpg)) + 
  geom_line(aes(group = gear)) +
  geom_point(aes(color = cyl),size=5) +
  geom_vline(data = d_me, aes(xintercept = me, linetype = var), 
             color = "black", size=1) +
  scale_linetype_manual(values = "dotted", name = "") +
  theme_bw() +
  theme(axis.line = element_line(colour = "black"),
        panel.grid.major = element_blank(),
        panel.grid.minor = element_blank(),
        panel.border = element_blank(),
        panel.background = element_blank())
库(tidyverse)
mtcars$cyl%
变异(var=“总体\n平均值”)
mtcars%>%
ggplot(
aes(填充=气缸,
y=齿轮,
x=mpg))+
几何线(aes(组=档位))+
几何点(aes(颜色=圆柱体),尺寸=5)+
geom_vline(数据=d_me,aes(xintercept=me,线型=var),
颜色=“黑色”,尺寸=1)+
比例\线型\手动(值=“虚线”,名称=”)+
主题_bw()+
主题(轴线=元素线(颜色=“黑色”),
panel.grid.major=元素_blank(),
panel.grid.minor=元素_blank(),
panel.border=元素_blank(),
panel.background=element\u blank()

谢谢,这很有效!你能不能把文本“总体平均值”放在两行上,这样就有更多的空间来绘制呢?例如,下面的新行上的“mean”?