使用 ggplot2 合并并完美对齐直方图和箱线图

从昨天开始，我正在阅读答案和网站，以便在一个图中组合和对齐histogram and a boxplot生成使用ggplot2包裹。

这个问题与其他问题不同，因为boxplot chart需要减少height and aligned到左外缘histogram.

考虑以下数据集：

my_df <- structure(list(id = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 
12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 
28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 
44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 
60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 
76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 
92, 93, 94, 95, 96, 97, 98, 99, 100), value= c(18, 9, 3, 
4, 3, 13, 12, 5, 8, 37, 64, 107, 11, 11, 8, 18, 5, 13, 13, 14, 
11, 11, 9, 14, 11, 14, 12, 10, 11, 10, 5, 3, 8, 11, 12, 11, 7, 
6, 6, 4, 11, 8, 14, 13, 14, 15, 10, 2, 4, 4, 8, 15, 21, 9, 5, 
7, 11, 6, 11, 2, 6, 16, 5, 11, 21, 33, 12, 10, 13, 33, 35, 7, 
7, 9, 2, 21, 32, 19, 9, 8, 3, 26, 37, 5, 6, 10, 18, 5, 70, 48, 
30, 10, 15, 18, 7, 4, 19, 10, 4, 32)), row.names = c(NA, 100L
), class = "data.frame", .Names = c("id", "value"))

我生成了箱线图：

require(dplyr)
require(ggplot2)
my_df %>% select(value) %>%
        ggplot(aes(x="", y = value)) +
        geom_boxplot(fill = "lightblue", color = "black") + 
        coord_flip() +
        theme_classic() +
        xlab("") +
        theme(axis.text.y=element_blank(),
              axis.ticks.y=element_blank())

我生成了直方图

my_df %>% select(id, value) %>%
        ggplot() +
        geom_histogram(aes(x = value, y = (..count..)/sum(..count..)),
                       position = "identity", binwidth = 1, 
                       fill = "lightblue", color = "black") +
        ylab("Relative Frequency") +
        theme_classic()

The result I am looking to obtain is a single plot like:

请注意，箱线图必须是高度降低和刻度线必须完全对齐为了给同一视觉提供不同的视角。

您可以使用egg, cowplot or patchwork包来组合这两个图。另请参阅此answer对于更复杂的例子。

library(dplyr)
library(ggplot2)

plt1 <- my_df %>% select(value) %>%
  ggplot(aes(x="", y = value)) +
  geom_boxplot(fill = "lightblue", color = "black") + 
  coord_flip() +
  theme_classic() +
  xlab("") +
  theme(axis.text.y=element_blank(),
        axis.ticks.y=element_blank())

plt2 <- my_df %>% select(id, value) %>%
  ggplot() +
  geom_histogram(aes(x = value, y = (..count..)/sum(..count..)),
                 position = "identity", binwidth = 1, 
                 fill = "lightblue", color = "black") +
  ylab("Relative Frequency") +
  theme_classic()

egg

# install.packages("egg", dependencies = TRUE)
egg::ggarrange(plt2, plt1, heights = 2:1)

cowplot

# install.packages("cowplot", dependencies = TRUE)
cowplot::plot_grid(plt2, plt1, 
                   ncol = 1, rel_heights = c(2, 1),
                   align = 'v', axis = 'lr')  

patchwork

# install.packages("devtools", dependencies = TRUE)
# devtools::install_github("thomasp85/patchwork")
library(patchwork)
plt2 + plt1 + plot_layout(nrow = 2, heights = c(2, 1))