使用ggplot2合并并完美对齐直方图和Boxplot

Question

从昨天开始，我正在阅读答案和网站，以便在一个图表中合并并对齐使用histogram包生成的boxplot和ggplot2。

此问题与其他问题不同，因为boxplot chart和height需要将aligned缩小到histogram的左外边缘。

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boxplot：

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()

我希望获得的结果是一个单一的情节，如：

请注意，箱线图必须减少高度，并且刻度线必须完全对齐，以便为同一视觉效果提供不同的视角。

Answer 1

您可以使用egg，cowplot或patchwork个包来组合这两个图。有关更复杂的示例，请参阅此answer。

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()

<强> egg

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

<强> 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))