Ggploy:geom_vline和geom_hline的独立图例 [英] ggplot: Separate legend for both a geom_vline and geom_hline
本文介绍了Ggploy:geom_vline和geom_hline的独立图例的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我正在尝试为geom_vline
和geom_hline
创建一个单独的图例。
以下是我的代码:
set.seed(1)
vec1 = rnorm(20)
set.seed(2)
vec2 = rnorm(20)
set.seed(3)
vec3 = rnorm(20)
vec = c(vec1,vec2,vec3)
let = rep(sample(letters[1:3],20,replace=TRUE),3)
num = c(rep(1:20,3))
lab = c(rep("label 1",20),rep("label 2",20),rep("label 3",20))
# Vertical lines for geom_vline
line1 = seq(1,20,5)
df = data.frame(vector = vec, index = num, name = let, label = lab)
# Define facet order
df$label_f = factor(df$label, levels=c("label 1","label 2","label 3"))
# Dataframe for horizontal lines
hl = data.frame(label = c("label 1","label 2","label 3"), Z = c(0.5,1,-0.5))
# Factor to seperate horizontal lines for facets
hl$label_f = factor(hl$label, levels=c("label 1","label 2","label 3"))
ggplot(data=df,aes(index,vector)) +
geom_point(aes(alpha = name, color=name)) +
geom_vline(xintercept=line1, color="blue") +
geom_hline(data = hl, aes(yintercept=Z),color="red") +
scale_alpha_manual(name="Indices",
labels=c("legend label 1","legend label 2","legend label 3"),
values=c(1,0.5,0.5)) +
scale_color_manual(name="Indices",
labels=c("legend label 1","legend label 2","legend label 3"),
values=c("black","orange","darkorange4")) +
xlab("index") + ylab("rnorm") +
facet_wrap(~label_f,ncol=1,scale="free_y") +
theme(legend.position="bottom")
我希望geom_hline
和geom_vline
具有适当标签和颜色的单独图例(&Q;图例2&Q):
我希望图例中的geom_hline
是水平的,geom_vline
是垂直的!
谢谢!
推荐答案
利用ggnewscale
和自定义draw_key
函数,可以这样实现:
可以通过
ggnewscale::new_scale_color
实现线条的单独图例,这将添加第二个颜色图例。为此,需要将映射同时添加到hline
和vline
。棘手之处在于,默认情况下,图例键将同时显示垂直线和水平线。为了覆盖这一点,我添加了一个定制的键标志符号函数,它限定了行的
color
之一。这意味着如果您更改颜色,您也必须调整条件。
library(ggplot2)
# Custom Key Glyph. Vertical Line if color = "blue". Horizontal Line otherwise
draw_key_cust <- function(data, params, size) {
if (data$colour == "blue") {
draw_key_vpath(data, params, size)
} else {
draw_key_path(data, params, size)
}
}
ggplot(data=df,aes(index,vector)) +
geom_point(aes(alpha = name, color=name)) +
scale_alpha_manual(name="Indices",
labels=c("legend label 1","legend label 2","legend label 3"),
values=c(1,0.5,0.5), guide = guide_legend(order = 1)) +
scale_color_manual(name="Indices",
labels=c("legend label 1","legend label 2","legend label 3"),
values=c("black","orange","darkorange4"), guide = guide_legend(order = 1)) +
ggnewscale::new_scale_color() +
geom_vline(data = data.frame(xintercept = line1), aes(xintercept = xintercept, color="line1"), key_glyph = "cust") +
geom_hline(data = hl, aes(yintercept = Z, color="line2"), key_glyph = "cust") +
scale_color_manual(name="Legend 2",
labels=c(line1 ="line 1", line2 = "line 2"),
values=c(line1 = "blue", line2 = "red"),
guide = guide_legend(order = 2)) +
xlab("index") + ylab("rnorm") +
facet_wrap(~label_f,ncol=1,scale="free_y") +
theme(legend.position="bottom")
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