如何使用plot_grid自定义边距和标签设置？

Question

我希望标题不会被删除，并且从我使用cowplot中的plot_grid生成的图表中删除了轴标签。

这是我的代码

    data(mtcars)
 library(ggplot2)
 library(cowplot)
 mpg = ggplot() +
 geom_boxplot(aes(y = mpg,x = as.factor(cyl)),data=mtcars) +
 coord_flip()
 am=ggplot() +
 geom_boxplot(aes(y = mpg,x = as.factor(am)),data=mtcars) +
 coord_flip()
 vs=ggplot() +
 geom_boxplot(aes(y = mpg,x = as.factor(vs)),data=mtcars) +
 coord_flip()
 gear = ggplot() +
 geom_boxplot(aes(y = mpg,x = as.factor(gear)),data=mtcars) +
 coord_flip()
 p=plot_grid(mpg,am,vs,gear, labels = "Variables effecting Mileage", label_size = 14, hjust = -0.5,
 + vjust = 0.5)+theme_grey()
p

另外，如果没有牛皮画创建它会更简单，你有什么建议？

Answer 1

以下是cowplot唯一答案。它可能更符合您的要求。

library(ggplot2)
library(cowplot)
library(gtable)

data(mtcars)

mpg = ggplot() +
  geom_boxplot(aes(y = mpg,x = as.factor(cyl)),data=mtcars) +
  coord_flip() + labs(x="",y="")
am=ggplot() +
  geom_boxplot(aes(y = mpg,x = as.factor(am)),data=mtcars) +
  coord_flip()+ labs(x="",y="")
vs=ggplot() +
  geom_boxplot(aes(y = mpg,x = as.factor(vs)),data=mtcars) +
  coord_flip()+ labs(x="",y="")
gear = ggplot() +
  geom_boxplot(aes(y = mpg,x = as.factor(gear)),data=mtcars) +
  coord_flip()+ labs(x="",y="")
p=plot_grid(mpg,am,vs,gear) +
  theme_grey() +

# Use annotation text as it is centered at the x,y point
  annotate("text",x=0.5,y=1.04,size=7,label="Variables affecting Mileage") +

# Add some space around the edges  
  theme(plot.margin = unit(c(1,0.5,0.5,0.5), "cm")) 


# Suppress tick marks
p=p+scale_y_continuous(breaks=NULL)+scale_x_continuous(breaks=NULL)

# Have to turn off clipping
gt <- ggplot_gtable(ggplot_build(p))
gt$layout$clip[gt$layout$name == "panel"] <- "off"

# need to draw it with the new clip settings
grid.draw(gt)

收率：

Answer 2

这会为你锻炼吗？

library(ggplot2)
library(gridExtra)
a <- ggplot() + geom_boxplot(aes(y = mpg,x = as.factor(cyl)),data=mtcars) + coord_flip()  + theme_grey() + theme(axis.title.x = element_blank()) 
b <- ggplot() + geom_boxplot(aes(y = mpg,x = as.factor(am)),data=mtcars) + coord_flip()  + theme_grey() + theme(axis.title.x = element_blank())
c <- ggplot() + geom_boxplot(aes(y = mpg,x = as.factor(vs)),data=mtcars) +
coord_flip() + theme_grey() + theme(axis.title.x = element_blank())
d <-  ggplot() + geom_boxplot(aes(y = mpg,x = as.factor(gear)),data=mtcars) +
coord_flip() + theme_grey() + theme(axis.title.x = element_blank()) 
grid.arrange(a, b, c, d, ncol=2, top = "Variables effecting Mileage")

Answer 3

谢谢迈克。这样做了。

 data(mtcars)
 library(ggplot2)
 library(cowplot)
 library(gtable)
 mpg = ggplot() +
 geom_boxplot(aes(y = mpg,x = as.factor(cyl)),data=mtcars) +
 coord_flip() + labs(x="",y="")
 am=ggplot() +
 geom_boxplot(aes(y = mpg,x = as.factor(am)),data=mtcars) +
 coord_flip()+ labs(x="",y="")
 vs=ggplot() +
 geom_boxplot(aes(y = mpg,x = as.factor(vs)),data=mtcars) +
 coord_flip()+ labs(x="",y="")
 gear = ggplot() +
 geom_boxplot(aes(y = mpg,x = as.factor(gear)),data=mtcars) +
 coord_flip()+ labs(x="",y="")
 p=plot_grid(mpg,am,vs,gear, 
        labels = "Variables effecting Mileage", 
        label_size = 14, hjust = -1.3[![enter image description here][1]][1], vjust = -0.1)+
 theme_grey() +

 # Add some space around the edges  
 theme(plot.margin = unit(c(1,0.5,0.5,0.5), "cm")) 

 # Suppress tick marks
 p=p+scale_y_continuous(breaks=NULL)+scale_x_continuous(breaks=NULL)

# Have to turn off clipping
 gt <- ggplot_gtable(ggplot_build(p))
 gt$layout$clip[gt$layout$name == "panel"] <- "off"

# need to draw it with the new clip settings
 grid.draw(gt)

这是我的情节