R 向刻面ggplot geom_直方图添加多个文本注释

我有以下

数据帧

：

hist.df <- data.frame(y = c(rnorm(30,1,1), rnorm(15), rnorm(30,0,1)), 
                      gt = c(rep("ht", 30), rep("hm", 15), rep("hm", 30)), 
                      group = c(rep("sc", 30), rep("am", 15), rep("sc",30)))

text.df = data.frame(ci.lo = c(0.001,0.005,-10.1), 
                     ci.hi = c(1.85,2.25,9.1), 
                     group = c("am","sc","sc"), 
                     factor = c("nu","nu","alpha"))

此外，我还有一个

数据框

：

hist.df <- data.frame(y = c(rnorm(30,1,1), rnorm(15), rnorm(30,0,1)), 
                      gt = c(rep("ht", 30), rep("hm", 15), rep("hm", 30)), 
                      group = c(rep("sc", 30), rep("am", 15), rep("sc",30)))

text.df = data.frame(ci.lo = c(0.001,0.005,-10.1), 
                     ci.hi = c(1.85,2.25,9.1), 
                     group = c("am","sc","sc"), 
                     factor = c("nu","nu","alpha"))

它定义了我要添加到刻面直方图中的文本注释，因此最终的图形将是：

因此

text.df$ci.lo

和

text.df$ci.hi

是相应

text.df$factor

的置信区间，它们通过text.df$group对应于刻面直方图

请注意，并非每个直方图都包含所有

text.df$factor

理想情况下，刻面直方图的ylim将为添加到直方图上方的文本留出足够的空间，以便它们仅出现在背景上

---

你知道如何做到这一点吗？

将我的评论总结成一个答案：

text.df$ci <- paste0(text.df$factor, ' = [', text.df$ci.lo, ', ', text.df$ci.hi, ']')
new_labels <- aggregate(text.df$ci, by = list(text.df$group), 
                        FUN = function(x) paste(x, collapse = '\n'))$x
hist.df$group <- factor(hist.df$group)
hist.df$group <- factor(hist.df$group,
                        labels = paste0(levels(hist.df$group), '\n', new_labels))

main.plot <- ggplot(data = hist.df, aes(x = y)) + 
  geom_histogram(alpha=0.5, position="identity", binwidth = 2.5, 
                 aes(fill = factor(gt))) + 
  facet_wrap(~group) + 
  scale_fill_manual(values = c("darkgreen","darkmagenta"), 
                    labels = c("ht","hm"), 
                    name = "gt")
main.plot + theme(strip.text = element_text(size=20))

---

<代码>文本.df$CI，您可以考虑将此注释添加到页眉中，例如“代码> Sc<代码>将沿着“代码>粘贴”（“SC”、“nu= [] ]、“alpha＝[]”、“SEP＝\n”）< /代码>。这将在各个方面保持一致，不会与直方图重叠。非常感谢。但我还是喜欢将其作为文本注释，因为它会使标题太大。