ggplot2合并颜色和填充图例

2024年1月2日 370次阅读

我想在ggplot2中合并两个图例.我使用以下代码：

ggplot(dat_ribbon, aes(x = x)) +
  geom_ribbon(aes(ymin = ymin, ymax = ymax,
                  group = group, fill = "test4 test5"), alpha = 0.2) +
  geom_line(aes(y = y, color = "Test2"), data = dat_m) +
  scale_colour_manual(values=c("Test2" = "white", "test"="black", "Test3"="red")) +
  scale_fill_manual(values = c("test4 test5"= "dodgerblue4")) +
  theme(legend.title=element_blank(),
        legend.position = c(0.8, 0.85),
        legend.background = element_rect(fill="transparent"),
        legend.key = element_rect(colour = 'purple', size = 0.5))

输出如下所示.有两个问题：

>当我在填充图例中使用两个或多个单词时,对齐会出错
>我想将两个图例合并为一个,这样填充图例只是4块的一部分.

有谁知道我怎么能做到这一点？

编辑：可重现的数据：

dat_m <- read.table(text="x quantile    y   group
1   1   50  0.4967335   0
2   2   50  0.4978249   0
3   3   50  0.5113562   0
4   4   50  0.4977866   0
5   5   50  0.5013287   0
6   6   50  0.4997994   0
7   7   50  0.4961121   0
8   8   50  0.4991302   0
9   9   50  0.4976087   0
10  10  50  0.5011666   0")

dat_ribbon <- read.table(text="
x   ymin    group   ymax
1   1   0.09779713  40  0.8992385
2   2   0.09979283  40  0.8996875
3   3   0.10309222  40  0.9004759
4   4   0.10058433  40  0.8985366
5   5   0.10259125  40  0.9043807
6   6   0.09643109  40  0.9031940
7   7   0.10199870  40  0.9022920
8   8   0.10018253  40  0.8965690
9   9   0.10292754  40  0.9010934
10  10  0.09399359  40  0.9053067
11  1   0.20164694  30  0.7974174
12  2   0.20082056  30  0.7980642
13  3   0.20837821  30  0.8056074
14  4   0.19903399  30  0.7973723
15  5   0.19903322  30  0.8050146
16  6   0.19965049  30  0.8051922
17  7   0.20592719  30  0.8042850
18  8   0.19810139  30  0.7956606
19  9   0.20537392  30  0.8007527
20  10  0.19325158  30  0.8023044
21  1   0.30016463  20  0.6953927
22  2   0.29803646  20  0.6976961
23  3   0.30803808  20  0.7048137
24  4   0.30045448  20  0.6991248
25  5   0.29562249  20  0.7031225
26  6   0.29647060  20  0.7043499
27  7   0.30159103  20  0.6991356
28  8   0.30369025  20  0.6949053
29  9   0.30196483  20  0.6998127
30  10  0.29578036  20  0.7015861
31  1   0.40045725  10  0.5981147
32  2   0.39796299  10  0.5974115
33  3   0.41056038  10  0.6057062
34  4   0.40046287  10  0.5943157
35  5   0.39708008  10  0.6014512
36  6   0.39594129  10  0.6011162
37  7   0.40052411  10  0.5996186
38  8   0.40128517  10  0.5959748
39  9   0.39917658  10  0.6004600
40  10  0.39791453  10  0.5999168")

最佳答案 根据其理念,您没有使用ggplot2.这让事情变得困难.

ggplot(dat_ribbon, aes(x = x)) +
  geom_ribbon(aes(ymin = ymin, ymax = ymax, group = group, fill = "test4 test5"), 
              alpha = 0.2) +
  geom_line(aes(y = y, color = "Test2"), data = dat_m) +
  geom_blank(data = data.frame(x = rep(5, 4), y = 0.5, 
                               group = c("test4 test5", "Test2", "test", "Test3")), 
             aes(y = y, color = group, fill = group)) +
  scale_color_manual(name = "combined legend",
                     values=c("test4 test5"= NA, "Test2" = "white", 
                              "test"="black", "Test3"="red")) + 
  scale_fill_manual(name = "combined legend",
                    values = c("test4 test5"= "dodgerblue4", 
                               "Test2" = NA, "test"=NA, "Test3"=NA))
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