【问题标题】：differentiating positions of multiple legends with ggplot2 in R在R中用ggplot2区分多个图例的位置
【发布时间】：2021-10-21 11:56:30
【问题描述】：

通过我的数据集，出现了两个传说。一个是 scale_color_manual（名为“Mutations”），另一个是 stat_difference（名为“Regions”）。我想把图例“Regions”放在底部，把图例“Mutations”放在右上角。 “Mutations”没问题，但我没有成功将“Regions”移到底部。我该怎么做？这是我的示例数据集：

Position    Wild_Score  A15S_Score
4   1.07    1.07
5   1.076   1.076
6   1.067   1.067
7   1.112   1.112
8   1.112   1.112
9   1.169   1.169
10  1.146   1.146
11  1.16    1.16
12  1.188   1.181
13  1.188   1.181
14  1.201   1.194
15  1.201   1.194
16  1.155   1.148

这是我的代码：

library(ggplot2)
library(ggh4x)
setwd("F:/Mutations/Graph_input")
d <- read.csv(file = "ORF7b.csv", sep = ",", header = TRUE)
p1 <- ggplot(d, aes(x= Position,y= Wild_Score)) + xlab("Positions") + ylab("Scores") +
  stat_difference(aes(ymin = 1, ymax = Wild_Score), alpha = 0.5, levels = c("Antigenic", "Non antigenic", "Neutral")) + 
  scale_fill_discrete(name = "Regions") + geom_line(aes(y=1)) + geom_line(d,aes(y = A15S_Score), color = "blue", size = 1) + theme(legend.position = c(0.92,0.8)) + 
  geom_point(d = d[,c(1,3)], aes(x= 15, y = 1.194, color = "A15S"), size = 3) + scale_color_manual(name = "Mutations", values = "A15S" = "blue") +
  ggtitle("ORF7b protein") + theme(plot.title = element_text(hjust = 0.5))

我尝试了以下两行代码。

    guide_color <- get_legend(p1 + guides(value = "none")) 
plot_grid(p1 + guides(color = "none") + theme(legend.position = "bottom"), guide_color, ncol = 2, rel_widths = c(.9, .01))

我的图表现在有两个“区域”图例。右侧的一个与“突变”传说一起。一个在底部，如下所示。 duplicate legend 如何从右侧删除这个重复的图例？

【问题讨论】：

可能重复：stackoverflow.com/q/68369581/12993861
我更新了我的帖子。你能检查我哪里做错了吗？

标签： r ggplot2 position legend

【解决方案1】：

做这样的 hack 总是很麻烦。但也许这就是你要找的：

library(ggplot2)
library(ggh4x)
library(cowplot)

p1 <- ggplot(d, aes(Position, Wild_Score)) +
  stat_difference(aes(ymin = 1, ymax = Wild_Score), alpha = 0.5, levels = c("Antigenic", "Non antigenic", "Neutral")) +
  scale_fill_discrete(name = "Regions") +
  geom_line(aes(y = 1)) +
  geom_line(data = d, aes(y = A15S_Score), color = "blue", size = 1) +
  geom_point(data = d[, c(1, 3)], aes(x = 15, y = 1.194, color = "A15S"), size = 3) +
  scale_color_manual(name = "Mutations", values = c("A15S" = "blue")) +
  labs(title = "ORF7b protein", x = "Positions", y = "Scores") +
  theme(plot.title = element_text(hjust = 0.5))

guide_fill <- get_legend(p1 + guides(color = "none") + theme(legend.position = "bottom"))

plot_grid(p1 +
            guides(fill = "none") + 
            theme(legend.position = c(0.92, 0.8)), 
          guide_fill, nrow = 2, rel_heights = c(10, 1))

数据

d <- structure(list(Position = 4:16, Wild_Score = c(1.07, 1.076, 1.067, 
                                               1.112, 1.112, 1.169, 1.146, 1.16, 1.188, 1.188, 1.201, 1.201, 
                                               1.155), A15S_Score = c(1.07, 1.076, 1.067, 1.112, 1.112, 1.169, 
                                                                      1.146, 1.16, 1.181, 1.181, 1.194, 1.194, 1.148)), class = "data.frame", row.names = c(NA, 
                                                                                                                                                            -13L))

【讨论】：