在两个不同的（“grid.arranged”）图之间绘制线条

Question

所以我设法创建了两个ggplot图，并将它们与grid.arrange完美对齐。现在我想将boxplot的min，1Q，3Q和max连接到左图中的分布。我在两个图中都用geom_hline绘制了水平（红色条纹）线，但是我想连接这些线，所以也要经过图之间的空白区域。有什么建议？这是图表：

哦，是的，复杂因素：正确的图表有它的坐标翻转！

这是一个可重复的例子：

library(ggplot2)
library(scales)
library(gridExtra)

# create some data
df_ahn <- data.frame(yh=rnorm(1000,0.23,0.05))
df_peil <- data.frame(hoogte = rnorm(1000,0,1))

# vector met de hoogtes
Summary_df <- summary(df_ahn$yh)

p_peil <- ggplot(df_peil,aes(x=hoogte))+
  geom_histogram(aes(y=cumsum((..count..)/sum(..count..))), binwidth = 0.01,fill="gray")+
  stat_bin(aes(y=cumsum((..count..)/sum(..count..))),binwidth = 0.01,geom="line",color="black") +
  geom_vline(aes(xintercept = as.vector(Summary_df[1])), lty = 2,color =2)+
  geom_vline(aes(xintercept = as.vector(Summary_df[2])), lty = 2,color =2)+
  geom_vline(aes(xintercept = as.vector(Summary_df[5])), lty = 2,color =2)+
  geom_vline(aes(xintercept = as.vector(Summary_df[6])), lty = 2,color =2)+
  coord_flip() +
  ggtitle("Onderschrijdingsfrequentie\n waterstand in kreek") +
  xlab("Hoogte in meter NAP") +
  ylab("Onderschrijdingsfrequentie in % (10% = 36,5 dagen/jaar)") +
  scale_y_continuous(limits = c(0, 1),labels = percent, breaks=seq(0,1,by=0.1)) +
  scale_x_continuous(limits = c(-0.5, 0.6), breaks=seq(-0.5,0.6,by=0.1)) +
  theme(panel.background = element_rect(fill = "transparent",colour = "black"),
        panel.grid.major = element_line(colour = "darkgray"),
        panel.grid.minor = element_line(colour = "gray"),
        strip.background = element_rect(fill="gray"),
        strip.text = element_text(size=14, color="black"),
        axis.ticks.y = element_line(colour = "black"),
        axis.ticks.x = element_line(colour = "black"),
        axis.text.x = element_text(size=14, color="black"),
        axis.text.y = element_text(size=14, color="black"),
        axis.title = element_text(size=14, color="black")
  )

p_ahn <-    ggplot(df_ahn, aes(x=1, y=yh)) +
  geom_boxplot(outlier.size=3, outlier.shape=1) +
  geom_hline(aes(yintercept = as.vector(Summary_df[1])), lty = 2,color =2)+
  geom_hline(aes(yintercept = as.vector(Summary_df[2])), lty = 2,color =2)+
  geom_hline(aes(yintercept = as.vector(Summary_df[5])), lty = 2,color =2)+
  geom_hline(aes(yintercept = as.vector(Summary_df[6])), lty = 2,color =2)+
  scale_y_continuous(limits = c(-0.5,0.6), breaks=seq(-0.5,0.6,by=0.1)) +
  ggtitle("Hoogte groeiplaatsen\nKruipend moerascherm") +
  ylab("") +
  xlab("") +
  theme(panel.background = element_rect(fill = "transparent",colour = "black"),
        panel.grid.major = element_blank(),
        panel.grid.minor = element_blank(),
        strip.background = element_rect(fill="gray"),
        strip.text = element_text(size=14, color="black"),
        axis.ticks.y = element_line(colour = "black"),
        axis.ticks.x = element_line(colour = "white"),
        axis.text.x = element_text(size=14, color="white"),
        axis.text.y = element_text(size=14, color="black"),
        axis.title = element_text(size=14, color="black", face="bold")

  ) 
grid.arrange(p_peil,p_ahn, layout_matrix = matrix(c(1,1,1,2), nrow=1, byrow=TRUE), ncol = 4)

Answer 1

您可以从其中一个图中提取线，并将其添加到组合gtable的整个区域，

library(ggplot2)
library(gtable)
library(grid)

set.seed(123)
y <- rnorm(10)
p1 <- qplot(1:10, y) +
  geom_hline(yintercept=0, lty=3)

p2 <- qplot(1:10, 10*y) +
  geom_hline(yintercept=0)

#library(gridExtra)
#grid.arrange(p1,p2,widths=c(3,1)) # no line

g1 <- ggplotGrob(p1)
g2 <- ggplotGrob(p2)
lines <- g1$grobs[[4]][["children"]][[3]]
g1$grobs[[4]][["children"]][[3]] <- NULL # remove line
g2$grobs[[4]][["children"]][[3]] <- NULL # remove line
g <- cbind(g1,g2,size="first")
g$heights <- unit.pmax(g1$heights, g2$heights)
g$widths[[9]] <- unit(1/3, "null")
g <- gtable_add_grob(g, lines, l=4, t=3, r=9, z=Inf)
grid.newpage()
grid.draw(g)