如何为 ggplot 中的不同图层获取单独的图例?

How do I get separate legends for separate layers in ggplot?

我有一个大致类似于 df 的数据框,如下所示。它接近我所需要的,但一个图例是为所有四个原始分组类别打印的,而不仅仅是两个。下面,我想要一个图例来反映 df1 的 "red" 和 "blue" 分组类别的行,然后是一个单独的图例来反映 "green" 和 [=20 的行=] 分组类别

我的动机有两个。首先,我想创建一个图表,该图表可以为在线出版物提供颜色,并为印刷版本提供黑白信息。其次,我的真实数据集有 5 个分组类别,实际上只有两个(红色和蓝色)的信息量最大。

所以我试图在下面复制的解决方案是挑出红色和蓝色,使这些线条变粗,更改其中一个的线型并使它们成为红色和蓝色。然后我想添加第二层与其他信息较少的类别,并使它们更薄并根据线型改变它们。谢谢

test<-rep(c('red', 'blue', 'green', 'orange'), 6)
test1<-rnorm(24, mean=10, sd=2)
test2<-seq(1,24,2)
df<-data.frame(test, test1, test2)
df1<-subset(df, test=='red'|test=='blue')
df2<-subset(df, test!='red'&test!='blue')

library(ggplot2)
test.plot <- ggplot(df1, aes(x=test2, y=test1, group=test)) + geom_line(aes(col=test,linetype=test), size=2) + scale_color_manual(values=c('red'='red3', 'blue'='darkblue'))
test.plot + geom_line(data=df2, aes(x=test2, y=test1, linetype=test))

一般来说,代表同一事物的图形方面需要在同一个图例中。这能解决您的问题吗?它使用三种手动比例(颜色、线型和大小)在一个图例中获取所有测试,并带有特定的、可辨别的线条。

library(grid) #for unit
library(ggplot2)

#make proper factor levelling in data, easier than setting breaks
df$test <- factor(df$test, levels=c("blue","red","green","orange"))

#plot with a lot of manual scales (but no second sets)
p2 <- ggplot(df, aes(x=test2,y=test1, group=test, col=test)) +
   geom_line(aes(linetype=test,size=test)) +
   scale_color_manual(values=c('red'='red3','blue'='darkblue','green'='black','orange'='black')) +
   scale_linetype_manual(values=c('red'='dashed','blue'='solid','green'='dashed','orange'='dotted')) +
   scale_size_manual(values=c('red'=2,'blue'=2,'green'=0.5,'orange'=0.5)) +
   theme(legend.key.width=unit(3,"lines")) #to show dashes in red
p2

使用的数据(seed=123):

df <- structure(list(test = structure(c(2L, 1L, 3L, 4L, 2L, 1L, 3L, 
4L, 2L, 1L, 3L, 4L, 2L, 1L, 3L, 4L, 2L, 1L, 3L, 4L, 2L, 1L, 3L, 
4L), .Label = c("blue", "red", "green", "orange"), class = "factor"), 
    test1 = c(8.87904870689557, 9.53964502103344, 13.1174166282982, 
    10.1410167828492, 10.2585754703219, 13.4301299737666, 10.9218324119784, 
    7.46987753078693, 8.62629429621295, 9.10867605980008, 12.4481635948789, 
    10.7196276541147, 10.8015429011881, 10.2213654318902, 8.88831773049185, 
    13.5738262736062, 10.9957009564585, 6.06676568674072, 11.4027118031274, 
    9.05441718454413, 7.86435258802631, 9.56405017068341, 7.94799110338552, 
    8.54221754141772), test2 = c(1, 3, 5, 7, 9, 11, 13, 15, 17, 
    19, 21, 23, 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23)), .Names = c("test", 
"test1", "test2"), row.names = c(NA, -24L), class = "data.frame")