如何在我的facet标签中插入希腊符号?

3
我正在尝试使用ggplot2(v. 2_2.2.1)的facet_wrap创建一个图表,并且我需要在仅有的一个面板标签(共五个)中使用希腊符号。我曾经尝试过在Stack Overflow上发布的代码: 但是没有任何成功(getGrob无法工作,这也适用于mf_labeller)。
有人能帮帮我吗?
下面是示例代码:
df <- data.frame(genes = rep(c("BA","MLL","pos","neg","PMLalpha+"),5), value = sample(1:100, 25, replace=TRUE))
df$genes <- factor(df$genes, levels = c("BA","MLL","pos","neg","PMLalpha+"), ordered = TRUE)
ggplot(df,aes(x=genes, y=value)) + geom_boxplot()+ 
  facet_wrap(~genes, ncol = 5,scales = "free_x")+
  scale_x_discrete(name="",
               breaks = c("BA","MLL","pos","neg","PMLalpha+"),
               labels = c("BA","MLL","pos","neg",expression(paste("PML", alpha,"+"))))

我可以修改x轴刻度线的名称,但在分面标签中做不到。
1个回答

7
这里有一个技巧,使用labeller=label_parsed。首先,为df$genes定义标签,使用要解析的表达式:
df$genes <- factor(df$genes, levels = c("BA","MLL","pos","neg","PMLalpha+"),
 ordered = TRUE, labels=c("BA","MLL","pos","neg",expression(paste("PML", alpha,"+"))))

然后在facet_wrap中使用labeller=label_parsed:
ggplot(df,aes(x=genes, y=value)) + geom_boxplot() + 
  facet_wrap(~genes, ncol = 5, scales = "free_x", labeller = label_parsed)

您可以看到,这会导致x轴标签混乱,但可以通过以下方式在scale_x_discrete中进行修复:

ggplot(df,aes(x=genes, y=value)) + geom_boxplot() + 
  facet_wrap(~genes, ncol = 5, scales = "free_x", labeller = label_parsed) +
  scale_x_discrete(name="",
               breaks = c("BA","MLL","pos","neg","paste(\"PML\", alpha, \"+\")"),
               labels = c("BA","MLL","pos","neg", expression(paste("PML", alpha,"+"))))

这里输入图片描述

编辑:针对后续问题的回答,以下是使用label_parsed解决多个变量的方法。包括所请求的空格在变量字符串中。

df$var2 <- c(rep(c('trt a','trt b'), NROW(df)/2),'trt a')
df$var2 <- factor(df$var2, levels=c('trt a','trt b'), ordered=T, labels=c(expression(paste("trt ", alpha)), expression(paste("trt ", beta))))

修复x轴:

ggplot(df,aes(x=var2, y=value)) + geom_boxplot() + facet_wrap(~var2, ncol = 5, scales = "free_x", labeller = label_parsed)

固定x轴:

ggplot(df,aes(x=var2, y=value)) + geom_boxplot() + 
  facet_wrap(~var2, ncol = 5, scales = "free_x", labeller = label_parsed) + 
  scale_x_discrete(name="",
                 breaks = c(expression(paste("trt ", alpha)), expression(paste("trt ", beta))),
                 labels = c(expression(paste("trt ", alpha)), expression(paste("trt ", beta))))

enter image description here


有没有想法如何仅使用label_parsed来处理多个变量?例如,将另一个变量添加到df中,该变量是带有空格的字符字符串(空格很重要)。 df $ var2 <- c(rep(c('trt a','trt b'),NROW(df)/ 2),'trt a')。现在运行绘图代码,您会收到错误消息:“Error in parse(text = as.character(values)) : <text>:1:5: unexpected symbol 1: trt a ^”,因为它试图将其作为数学表达式进行评估。有什么建议吗? - dandrews
1
也许有一种忽略带空格变量的方法? - dandrews
同意上述内容,将解决方案添加到上述问题的答案中。 - Djork

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