为特征组合添加手动 ggplot 图例
Add manual ggplot legend for combinations of features
如何为以下每一行添加带有标签的手动图例:
lty=1, lwd=2, color='black', label='Litigating'
lty=2, lwd=2, color='black', label='Non-litigating'
lty=1, lwd=1, color='gray', label='Reference'
这里有一个丑陋的模型来表达这个想法。标签的确切位置并不重要。我只想要每一行一个图标。
这是我尝试实现的一种方法,但图例按功能分解,产生六个图标而不是三个:
# Make a data.frame with 10 points and the aesthetics associated wit each
D_legend = data.frame(
x = 1:10,
y = rnorm(10),
lwd = factor(c(2,2,2,2,2,2,1,1,1,1)),
lty = factor(c(1,1,1,2,2,2,1,1,1,1)),
color=c(rep('black', 6), rep('gray', 4))
)
# Plot it. I want a nice legend here!
ggplot(D_legend, aes(x=x, y=y, lty=lty, lwd=lwd, color=color)) +
geom_line() +
theme(legend.position="top")
让我们简单地创建一个确定行类型的交互变量:
D_legend$type <- droplevels(with(D_legend, interaction(lty, lwd, color)))
# Giving better names
levels(D_legend$type) <- c("Litigating", "Non-litigating", "Reference")
现在我们可以分别处理三种美学:
ggplot(D_legend, aes(x = x, y = y, lty = type, lwd = type, color = type)) +
geom_line() + theme(legend.key.width = unit(2, "cm")) +
scale_linetype_manual(
NULL,
values = c("Litigating" = 1, "Non-litigating" = 2, "Reference" = 1)
) +
scale_size_manual(
NULL,
values = c("Litigating" = 2, "Non-litigating" = 2, "Reference" = 1)
) +
scale_color_manual(
NULL,
values = c("Litigating" = "black", "Non-litigating" = "black", "Reference" = "gray")
)
我增加了 legend.key.width
否则第二个线型是虚线是不可见的。如果你想让图例有名字,那么用它替换 type
这样你也可以删除所有 NULL
.
如何为以下每一行添加带有标签的手动图例:
lty=1, lwd=2, color='black', label='Litigating'
lty=2, lwd=2, color='black', label='Non-litigating'
lty=1, lwd=1, color='gray', label='Reference'
这里有一个丑陋的模型来表达这个想法。标签的确切位置并不重要。我只想要每一行一个图标。
这是我尝试实现的一种方法,但图例按功能分解,产生六个图标而不是三个:
# Make a data.frame with 10 points and the aesthetics associated wit each
D_legend = data.frame(
x = 1:10,
y = rnorm(10),
lwd = factor(c(2,2,2,2,2,2,1,1,1,1)),
lty = factor(c(1,1,1,2,2,2,1,1,1,1)),
color=c(rep('black', 6), rep('gray', 4))
)
# Plot it. I want a nice legend here!
ggplot(D_legend, aes(x=x, y=y, lty=lty, lwd=lwd, color=color)) +
geom_line() +
theme(legend.position="top")
让我们简单地创建一个确定行类型的交互变量:
D_legend$type <- droplevels(with(D_legend, interaction(lty, lwd, color)))
# Giving better names
levels(D_legend$type) <- c("Litigating", "Non-litigating", "Reference")
现在我们可以分别处理三种美学:
ggplot(D_legend, aes(x = x, y = y, lty = type, lwd = type, color = type)) +
geom_line() + theme(legend.key.width = unit(2, "cm")) +
scale_linetype_manual(
NULL,
values = c("Litigating" = 1, "Non-litigating" = 2, "Reference" = 1)
) +
scale_size_manual(
NULL,
values = c("Litigating" = 2, "Non-litigating" = 2, "Reference" = 1)
) +
scale_color_manual(
NULL,
values = c("Litigating" = "black", "Non-litigating" = "black", "Reference" = "gray")
)
我增加了 legend.key.width
否则第二个线型是虚线是不可见的。如果你想让图例有名字,那么用它替换 type
这样你也可以删除所有 NULL
.