r - 如何使用 bquote() 在 scale_x_discrete() 内的 ggplot2 中动态创建标签？

Question

目前，我必须对 scale_x_discrete() 内的标签进行硬编码。但我需要动态创建它们的一个子集，并将它们按降序排列，并在具有静态位置的 y 轴底部添加附加标签。

library(dplyr)
library(ggplot2)
library(scales)

set.seed(1)

samp <- data.frame(Names = sample(paste0("Sample_", 1:5), 90, replace = TRUE),
                   Mode = rep(c("UN", "CN", "CF"), 150))

ggplot(samp, aes(x=Names)) +
  geom_bar(aes(fill=Mode), position="fill", width = .5) + 
  scale_fill_manual(values = c("#a0de6f","tan1","#DAEBFF")) +
  scale_y_continuous(label=percent, expand = c(0,0)) +
  coord_flip() +
  labs(fill="", 
       x="", 
       y="") +
  theme_minimal() +
  theme(
    legend.position = "bottom",
    plot.margin = unit(c(1,1,.5,0),"cm"),
    legend.key.size = unit(.5, "lines")
  ) +
  guides(fill = guide_legend(reverse = TRUE)) +
  scale_x_discrete("", 
                   labels= c(
                     bquote("Sample_5" * " (n = " *  .(sum(samp$Names == "Sample_5")) * ")"),
                     bquote(italic("Sample_1") * " (n = "  * .(sum(samp$Names == "Sample_1")) * ")"),
                     bquote(italic("Sample_3") * " (n = "  * .(sum(samp$Names == "Sample_3")) * ")"),
                     bquote(italic("Sample_4") * " (n = "  * .(sum(samp$Names == "Sample_4")) * ")"),
                     bquote(italic("Sample_2") * " (n = "  * .(sum(samp$Names == "Sample_2")) * ")")))

这一点:

  scale_x_discrete("", 
                   labels= c(
                     bquote("Sample_5" * " (n = " *  .(sum(samp$Names == "Sample_5")) * ")"),
                     bquote(italic("Sample_1") * " (n = "  * .(sum(samp$Names == "Sample_1")) * ")"),
                     bquote(italic("Sample_3") * " (n = "  * .(sum(samp$Names == "Sample_3")) * ")"),
                     bquote(italic("Sample_4") * " (n = "  * .(sum(samp$Names == "Sample_4")) * ")"),
                     bquote(italic("Sample_2") * " (n = "  * .(sum(samp$Names == "Sample_2")) * ")")))

是我需要动态创建并按计数降序排列的东西，但我真的不知道如何。

它应该是什么样子:

Answer 1

您可以分别为动态部分和静态部分生成标签列表，然后将它们组合起来

excludes <- "Sample_5"
cat_counts <- table(samp$Names) %>% {.[-match(excludes, names(.))]}
my_sorted_labels <- Map(function(label, count) {
  bquote(italic(.(label)) * " (n = "  * .(count) * ")")
  }, names(cat_counts), cat_counts)[order(cat_counts)]
my_sorted_limits <- names(sort(cat_counts))

my_fixed_labels <- Map(function(label, count) {
  bquote(.(label) * " (n = "  * .(count) * ")")
}, excludes, table(samp$Names)[excludes])

my_labels <- c(my_fixed_labels, my_sorted_labels)
my_limits <- c(excludes, my_sorted_limits)

然后使用它

scale_x_discrete("", limits=my_limits, labels= my_labels)