如何替换重叠x轴标签的新行？

Question

在x轴上绘制长文本因子时，ggplot不是很好。我想换一个换行，这样它就更清晰了（所以下面图片中的红色标记应该是一条线）。

我在comments here找到了答案，但无法开展工作。代码是：

scale_x_discrete( labels = function( labels ) { 
fixedLabels <- c() for ( l in 1:length( labels ) ) { 
fixedLabels <- c( fixedLabels, paste0( ifelse( l %% 2 == 0, '', '\n' ), labels[l] ) ) } return( fixedLabels ) } )

测试数据：

library(ggplot2)

Group = c("D1", "D2", "D3", "D4", "D5", "D6", "D7", "D8", "D9", "D10", "D11", "D12", "D13", "D14")
x = c(141, 57, 38, 18, 13, 7, 5, 4, 2, 2, 1, 1, 1, 1)

dat <- data.frame(
  Group = Group,
  x = x,
  stringsAsFactors=TRUE
)

dat <- dat[order(dat$x, decreasing=TRUE), ]
dat$Group <- factor(dat$Group, levels=dat$Group[order(dat$x, decreasing=TRUE)])
cum = sum(dat$x)
dat$cum <- 100*(dat$x)/cum
dat$cum = cumsum(dat$cum)

> dat
   Group   x       cum
1     D1 141  48.45361
2     D2  57  68.04124
3     D3  38  81.09966
4     D4  18  87.28522
5     D5  13  91.75258
6     D6   7  94.15808
7     D7   5  95.87629
8     D8   4  97.25086
9     D9   2  97.93814
10   D10   2  98.62543
11   D11   1  98.96907
12   D12   1  99.31271
13   D13   1  99.65636
14   D14   1 100.00000

 ggplot(dat, aes(x=Group)) +
  geom_bar(aes(y=x), fill="light blue", stat="identity") +
  stat_count(aes(label = x), geom = "text", vjust=-0.3, size=3.5) + 
  geom_point(aes(y=cum)) +
  geom_path(aes(y=cum, group=1))

Answer 1

这是你在评论中找到的一个巧妙的小技巧！它确实有用，只要确保你看到你的语法：l！= 1虽然看起来非常类似：

ggplot(dat, aes(x = Group)) +
  geom_bar(aes(y = x), fill = "light blue", stat = "identity") +
  stat_count(aes(label = x), geom = "text", vjust = -0.3, size = 3.5) + 
  geom_point(aes(y = cum)) +
  geom_path(aes(y = cum, group = 1)) +
  scale_x_discrete(labels = function(labels) {
    fixedLabels <- c()
    for (l in 1:length(labels)) {
      fixedLabels[l] <- paste0(ifelse(l %% 2 == 0, '', '\n'), labels[l])
    }
    return(fixedLabels)
  })

https://github.com/BriceRoncace/SpringBootJpaModelGenIssue

注意：您可以选择更简洁地重写语法（这里我使用i以避免混淆并可能使其更具可读性）：

ggplot(dat, aes(x = Group)) +
  geom_bar(aes(y = x), fill = "light blue", stat = "identity") +
  stat_count(aes(label = x), geom = "text", vjust = -0.3, size = 3.5) + 
  geom_point(aes(y = cum)) +
  geom_path(aes(y = cum, group = 1)) +
  scale_x_discrete(labels = function(labels) {
    sapply(seq_along(labels), function(i) paste0(ifelse(i %% 2 == 0, '', '\n'), labels[i]))
  })

Answer 2

不是你问的问题，但处理长轴标签的另一个好方法是将它们放在45 *角：

Group = c("LongerNameD1", "LongerNameD2", "LongerNameD3", "LongerNameD4", "LongerNameD5", "LongerNameD6", "LongerNameD7", "LongerNameD8", "LongerNameD9", "LongerNameD10", "LongerNameD11", "LongerNameD12", "LongerNameD13", "LongerNameD14")
x = c(141, 57, 38, 18, 13, 7, 5, 4, 2, 2, 1, 1, 1, 1)

dat <- data.frame(
     Group = Group,
     x = x,
     stringsAsFactors=TRUE
)

dat <- dat[order(dat$x, decreasing=TRUE), ]
dat$Group <- factor(dat$Group, levels=dat$Group[order(dat$x, decreasing=TRUE)])
cum = sum(dat$x)
dat$cum <- 100*(dat$x)/cum
dat$cum = cumsum(dat$cum)


ggplot(dat, aes(x = Group)) +
     geom_bar(aes(y = x), fill = "light blue", stat = "identity") +
     stat_count(aes(label = x), geom = "text", vjust = -0.3, size = 3.5) + 
     geom_point(aes(y = cum)) +
     geom_path(aes(y = cum, group = 1))+
     theme(axis.text.x  = element_text(angle=45, hjust = 1))

Answer 3

从 ggplot2 3.3.2 开始，您可以简单地使用 scale_x_discrete(guide = guide_axis(n.dodge = 2))。 release notes 中对此进行了讨论。

library(ggplot2)

p <- ggplot(mpg) +
  geom_bar(aes(x = manufacturer)) + 
  scale_x_discrete(guide = guide_axis(n.dodge = 2))
p

^{由 reprex package (v1.0.0) 于 2021 年 4 月 14 日创建}