我有几个类似下面的情节。我的问题是geom_vline()
(类型)的图例会在图表之间移动,有时会出现在“均值”图例上方,有时会出现在下方。
如何指定geom_vline()
图例(或其他图例)的位置,以便我的论文中的图表没有变化?
set.seed(1234)
data <- data.frame(value = rnorm(n = 10000, mean = 50, sd = 20),
Type = sample(letters[1:2], size = 10000, replace = TRUE))
data$value[data$Type == "b"] <- data$value[data$Type == "b"] +
rnorm(sum(data$Type == "b"), mean = 55)
gp <- ggplot(data = data, aes_string(x = "value"))
gp <- gp + geom_density(aes_string(fill = "Type"), alpha = 0.3)
vlines <- data.frame(value = c(mean(data$value[data$Type == "a"]),
mean(data$value[data$Type == "b"])),
Mean = c("A", "B"))
gp2 <- gp + geom_vline(data = vlines, aes(xintercept = value, colour = Mean),
size = 1.05, linetype = "dashed", show.legend = TRUE)
gp3 <- gp2 + geom_vline(xintercept = (50 + 55 + 50) / 2, size = 1.05)
gp3
答案 0 :(得分:2)
您可以将传递给order
的{{1}}参数传递给guide_legend
函数的guide
参数,以便重新排列指南。例如:
scale_*
library(ggplot2)
set.seed(1234)
data <- data.frame(value = rnorm(n = 10000, mean =50, sd = 20),
Type = sample(letters[1:2], size = 10000, replace = TRUE))
data$value[data$Type == "b"] <- data$value[data$Type == "b"] +
rnorm(sum(data$Type == "b"), mean = 55)
vlines <- data.frame(value = c(mean(data$value[data$Type == "a"]),
mean(data$value[data$Type == "b"])),
Mean = c("A", "B"))
ggplot(data, aes(x = value)) +
geom_density(aes(fill = Type), alpha = 0.3) +
geom_vline(data = vlines, aes(xintercept = value, colour = Mean),
size = 1.05, linetype = "dashed", show.legend = TRUE) +
geom_vline(xintercept = (50 + 55 + 50) / 2, size = 1.05) +
scale_fill_discrete(guide = guide_legend(order = 1)) + # fill first
scale_color_discrete(guide = guide_legend(order = 2)) # color second