ggplot&x27；s geom_text（）饼图的标签隐藏了geom_bar（）制作的饼图

我使用聚合（，，FUN=sum）函数构造了以下数据：

    structure(list(Group.1 = structure(c(1L, 2L, 3L, 1L, 2L, 3L, 
1L, 2L, 3L), .Label = c("Black or African American", "White Alone", 
"White Alone LR"), class = "factor"), Group.2 = structure(c(1L, 
1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L), .Label = c("bus", "mixed", "rail"
), class = "factor"), x = c(75143.5182835844, 198737.537113379, 
46973.6469041183, 46199.2335265697, 128026.568239224, 28933.3028730992, 
75876.5845180076, 495166.957025367, 5909.04640985574), pos = c(37571.7591417922, 
99368.7685566897, 23486.8234520592, 98243.1350468693, 262750.821232991, 
61440.2983406679, 159281.044069158, 574347.583865287, 78861.4729821454
), labe = c(" 75,144", "198,738", " 46,974", " 46,199", "128,027", 
" 28,933", " 75,877", "495,167", "  5,909")), class = c("tbl_df", 
"tbl", "data.frame"), .Names = c("Group.1", "Group.2", "x", "pos", 
"labe"), row.names = c(NA, -9L))

我得到了制作饼图的好代码，这导致：

modesplit <- ggplot(data = sums) +
  geom_bar( aes(factor(1), y=x, fill=Group.2), stat="identity", position="fill") +
  scale_fill_discrete(guide=guide_legend(title="Mode")) +
  coord_polar(theta="y") +
  facet_grid(.~Group.1, labeller = label_value) + 
  scale_x_discrete(name=" ", breaks = NULL) +
  scale_y_continuous(name=" ", breaks = NULL)
plot(modesplit)

---

modesplit这是一个规模问题。注释掉
coord\u polar
和您的
scale\u y\u continuous
，然后运行带有和不带
geom\u文本的代码。geom_栏中的
position=“fill”
使其加起来等于1，而您的
pos
值为数万

这里有一个解决方案（<强>编辑，所以现在标签很好地放在中间）
库（dplyr）
sums2=总和%>%group_by（group.1）%>%
变异（x_=x/和（x），
pos_scaled=pos/cumsum（x_scaled）-x_scaled/2）
由于某些原因，您的dput结构无法工作。你能检查它是否是正确的代码吗？检查：首先将你的data@MichaelVE修好了，笨蛋！我希望分组可能是我策划的问题，但没有。我无意中把这两个例子混在一起，似乎都没有太多注意。谢谢
modesplit <- ggplot(data = sums) +
  geom_bar( aes(factor(1),y=x,fill=Group.2),stat="identity", position="fill") +
  geom_text(aes(,y=pos, label = labe), size =5) +
  scale_fill_discrete(guide=guide_legend(title="Mode")) +
  coord_polar(theta="y") +
  facet_grid(.~Group.1,labeller = label_value) +
  scale_x_discrete(name=" ", breaks = NULL) +
  scale_y_continuous(name=" ", breaks = NULL) +
plot(modesplit)

library(dplyr)
sums2 = sums %>% group_by(Group.1) %>%
    mutate(x_scaled = x / sum(x),
           pos_scaled = pos / cumsum(x_scaled) - x_scaled / 2)

modesplit <- ggplot(data = sums2, aes(x = factor(1))) +
  geom_bar( aes(y=x_scaled, fill=Group.2), stat="identity", position="stack") +
  scale_fill_discrete(guide=guide_legend(title="Mode")) +
  coord_polar(theta="y") +
  geom_text(aes(y = pos_scaled, label = labe), size =5) +
  facet_grid(. ~ Group.1, labeller = label_value) + 
  scale_x_discrete(name=" ", breaks = NULL) +
  scale_y_continuous(name=" ", breaks = NULL)

plot(modesplit)