在密度图下方添加箱线图

Question

我是ggplot的新手，正在尝试创建此图：

但是实际上，我只是停留在这里：

这是我的代码：

ggplot(diamonds)  + 
  aes(x = carat, group = cut) + 
  geom_line(stat = "density", size = 1) + 
  theme_grey() + 
  facet_wrap(~cut, nrow = 5, strip.position = "right") + 
  geom_boxplot(aes())

有人知道我下一步可以做什么吗？

Answer 1

使用ggstance包中的水平箱线图geom_boxploth() / stat_boxploth()可以轻松完成此操作：

library(ggstance)

ggplot(diamonds, aes(x = carat, y = -0.5)) +

  # horizontal box plot
  geom_boxploth(aes(fill = cut)) +

  # normal density plot
  geom_density(aes(x = carat), inherit.aes = FALSE) +

  # vertical lines at Q1 / Q2 / Q3
  stat_boxploth(geom = "vline", aes(xintercept = ..xlower..)) +
  stat_boxploth(geom = "vline", aes(xintercept = ..xmiddle..)) +
  stat_boxploth(geom = "vline", aes(xintercept = ..xupper..)) +

  facet_grid(cut ~ .) +

  # reproduce original chart's color scale (o/w ordered factors will result
  # in viridis scale by default, using the current version of ggplot2)
  scale_fill_discrete()

如果由于某种原因而仅限于ggplot2软件包，则仍然可以这样做，但是由于geom_boxplot()和geom_density()朝着不同的方向发展，因此它会变得不那么直接。

替代1 ：计算箱形图的坐标，并在将结果传递到ggplot()之前手动翻转它们。以常规方式添加密度层：

library(dplyr)
library(tidyr)

p.box <- ggplot(diamonds, aes(x = cut, y = carat)) + geom_boxplot()    
p.box.data <- layer_data(p.box) %>%
  select(x, ymin, lower, middle, upper, ymax, outliers) %>%
  mutate(cut = factor(x, labels = levels(diamonds$cut), ordered = TRUE)) %>%
  select(-x)

ggplot(p.box.data) +

  # manually plot flipped boxplot
  geom_segment(aes(x = ymin, xend = ymax, y = -0.5, yend = -0.5)) +
  geom_rect(aes(xmin = lower, xmax = upper, ymin = -0.75, ymax = -0.25, fill = cut),
            color = "black") +
  geom_point(data = . %>% unnest(outliers),
             aes(x = outliers, y = -0.5)) +

  # vertical lines at Q1 / Q2 / Q3
  geom_vline(data = . %>% select(cut, lower, middle, upper) %>% gather(key, value, -cut),
             aes(xintercept = value)) +

  # density plot
  geom_density(data = diamonds, aes(x = carat)) +

  facet_grid(cut ~ .) +
  labs(x = "carat") +
  scale_fill_discrete()

替代2 ：计算密度图的坐标，并在将结果传递到ggplot()之前手动翻转它们。以常规方式添加箱形图图层。翻转整个图表：

p.density <- ggplot(diamonds, aes(x = carat, group = cut)) + geom_density()    
p.density.data <- layer_data(p.density) %>%
  select(x, y, group) %>%
  mutate(cut = factor(group, labels = levels(diamonds$cut), ordered = TRUE)) %>%
  select(-group)
p.density.data <- p.density.data %>%
  rbind(p.density.data %>% 
          group_by(cut) %>% 
          filter(x == min(x)) %>% 
          mutate(y = 0) %>% 
          ungroup())

ggplot(diamonds, aes(x = -0.5, y = carat)) +

  # manually flipped density plot
  geom_polygon(data = p.density.data, aes(x = y, y = x), 
               fill = NA, color = "black") +

  # box plot
  geom_boxplot(aes(fill = cut, group = cut)) +

  # vertical lines at Q1 / Q2 / Q3
  stat_boxplot(geom = "hline", aes(yintercept = ..lower..)) +
  stat_boxplot(geom = "hline", aes(yintercept = ..middle..)) +
  stat_boxplot(geom = "hline", aes(yintercept = ..upper..)) +

  facet_grid(cut ~ .) +
  scale_fill_discrete() +
  coord_flip()

Answer 2

也许这会有所帮助。虽然不需要升级：）

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