更改ggplot2图例中单个标签的字体（变为粗体）
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【中文标题】更改ggplot2图例中单个标签的字体（变为粗体）【英文标题】：Change font face (to bold) of a single label in ggplot2 legend 【发布时间】：2021-03-19 01:00:09 【问题描述】：我在 R 4.0.2 中有一个包含两个连续变量的数据集，分为两组（变量曲线：“Exp.”或“Molecular\ndynamics”）。我用 geom_smooth 图层（ggplot2 3.3.2）绘制它们并按组曲线为它们着色，并且我还设置了该组为它们赋予不同的线型，但然后我使用 scale_linetype_manual 对其进行修改以分别为它们提供虚线和实线线型.
我想做“Exp”。图例的标签粗体。我尝试了很多方法（即，其他人的问题的许多答案）来尝试手动重命名图例标签（在 scale_linetype_manual 中添加一个 labels=；在 guides()... 中尝试了一个 override.aes），但最好的我设法做的是获得具有不同标签的重复图例，既不保留颜色也不保留线型，也不显示“Exp”。粗体字。 （我认为问题在于我已经使用 scale_xxx 手动调整线型，所以我测试过的关于如何编辑标签的其余答案与我的代码不兼容，我不知道如何弄清楚问题）。
当前代码：
ggplot() +
geom_smooth(data = data, aes(x=`T(K)`, y=dG, color=Curve, linetype=Curve), size=2, se=FALSE) +
theme_classic() + scale_color_brewer() +
ggtitle('Lysozyme') + xlab('T (K)') + ylab('∆G (kcal/mol)') +
theme(panel.border = element_rect(colour = "black", fill=NA)) +
scale_linetype_manual(values=c("dashed", "solid")) +
theme(text = element_text(family="", size=20),
plot.title = element_text(hjust = 0.5, face="bold", size=20),
axis.title.y = element_text(size=20, margin=margin(r=25)),
axis.title.x = element_text(size=20, margin=margin(t=25)),
axis.text = element_text(size=20, color="black"),
legend.text = element_text(margin = margin(t = 10, b = 10, unit = "pt")),
legend.key.size = unit(2,"line"))
可重现的例子：
data <- structure(list(Curve = c("Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.",
"Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "Exp.", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn", "MolDyn",
"MolDyn", "MolDyn"), x = c(223, 225.240506329114, 227.481012658228,
229.721518987342, 231.962025316456, 234.20253164557, 236.443037974684,
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319.341772151899, 321.582278481013, 323.822784810127, 326.063291139241,
328.303797468354, 330.544303797468, 332.784810126582, 335.025316455696,
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382.075949367089, 384.316455696203, 386.556962025316, 388.79746835443,
391.037974683544, 393.278481012658, 395.518987341772, 397.759493670886,
400, 223, 225.240506329114, 227.481012658228, 229.721518987342,
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285.73417721519, 287.974683544304, 290.215189873418, 292.455696202532,
294.696202531646, 296.936708860759, 299.177215189873, 301.417721518987,
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357.430379746835, 359.670886075949, 361.911392405063, 364.151898734177,
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384.316455696203, 386.556962025316, 388.79746835443, 391.037974683544,
393.278481012658, 395.518987341772, 397.759493670886, 400), y = c(-7.68350483903568,
-6.61614472856118, -5.59380218853684, -4.6165652100245, -3.68452178408595,
-2.79775990178302, -1.9563675541775, -1.16043273233119, -0.410043427305927,
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-61.3842999227711, -63.4018198546136, -65.438873260879)), class = "data.frame", row.names = c(NA,
-160L))【问题讨论】：
【参考方案1】：具有适当功能的示例和代码可能很有用。你可以使用ggtext包：
library(ggtext)
library(ggplot2)
#Code
ggplot(iris,aes(x=Sepal.Length,y=Sepal.Width,color=Species))+
geom_point()+
scale_color_discrete(labels=c('**setosa**','versicolor','virginica'))+
theme(legend.text = element_markdown())
输出：
接下来是您的代码，使用共享的数据：
#Your code
ggplot() +
geom_smooth(data = data, aes(x=x, y=y, color=Curve, linetype=Curve),
size=2, se=FALSE) +
theme_classic() +
scale_color_brewer(labels=c("**Exp.**","Molecular dynamics")) +
ggtitle('Lysozyme') + xlab('T (K)') + ylab('∆G (kcal/mol)') +
theme(panel.border = element_rect(colour = "black", fill=NA)) +
scale_linetype_manual(values=c("dashed", "solid"),
labels=c("**Exp.**","Molecular dynamics")) +
theme(text = element_text(family="", size=20),
plot.title = element_text(hjust = 0.5, face="bold", size=20),
axis.title.y = element_text(size=20, margin=margin(r=25)),
axis.title.x = element_text(size=20, margin=margin(t=25)),
axis.text = element_text(size=20, color="black"),
legend.text = element_markdown(margin = margin(t = 10,
b = 10, unit = "pt")),
legend.key.size = unit(2,"line"))
输出：
【讨论】：
嗨，非常感谢！似乎在我的许多尝试中（ggtext 也包含在其中，哈哈）我缺少的只是在 scale_color 中添加标签 =。干杯 @FranNerínFonz 总是乐于助人！以上是关于更改ggplot2图例中单个标签的字体（变为粗体）的主要内容，如果未能解决你的问题，请参考以下文章
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