在 geom_boxplot 中包含用于填充美学的缺失因子级别的空间 [英] Include space for missing factor level used in fill aesthetics in geom_boxplot

问题描述

我正在尝试在 R 中绘制一个盒须图.我的代码如下.目前，因为我只有两个站点之一的两个月数据，所以该站点的条形更宽(因为月份的第三级被删除).

I am trying to draw a box and whisker plot in R. My code is below. At the moment, because I only have data for two months in one of the two sites, the bars are wider for that site (because the third level of month is dropped).

相反，我希望站点 A 的框样式与站点 B 的框相同(即右侧有一个空框的空间).我可以使用 drop=TRUE 轻松地做到这一点，当我只有一个因素但似乎无法使用填充"因素来做到这一点时.

Instead, I would like the same pattern of boxes for site A as there is for site B (i.e. with space for an empty box on the right-hand side). I can easily do this with drop=TRUE when I only have one factor but do not seem to be able to do it with the "filling" factor.

Month=rep(c(rep(c("Jan","Feb"),2),"Mar"),10)
Site=rep(c(rep(c("A","B"),each=2),"B"),10)
factor(Month)
factor(Site)
set.seed(1114)
Height=rnorm(50)
Data=data.frame(Month,Site,Height)
plot = ggplot(Data, aes(Site, Height)) +
       geom_boxplot(aes(fill=Month, drop=TRUE), na.rm=FALSE)
plot

推荐答案

实现所需外观的一种方法是更改​​绘图时生成的数据.

One way to achieve the desired look is to change data produced while plotting.

首先将绘图保存为对象，然后使用ggplot_build() 将绘图数据的所有部分保存为对象.

First, save plot as object and then use ggplot_build() to save all parts of plot data as object.

p<-ggplot(Data, aes(Site, Height,fill=Month)) + geom_boxplot()
dd<-ggplot_build(p)

列表元素数据包含用于绘图的所有信息.

List element data contains all information used for plotting.

dd$data

[[1]]
     fill      ymin      lower     middle      upper      ymax  outliers notchupper notchlower    x PANEL
1 #F8766D -1.136265 -0.2639268  0.1978071  0.5318349 0.9815675            0.5954014 -0.1997872 0.75     1
2 #00BA38 -1.264659 -0.6113666  0.3190873  0.7915052 1.0778202            1.0200180 -0.3818434 1.00     1
3 #F8766D -1.329028 -0.4334205  0.3047065  1.0743448 1.5257798            1.0580462 -0.4486332 1.75     1
4 #00BA38 -1.137494 -0.7034188 -0.4466927 -0.1989093 0.1859752 -1.759846 -0.1946196 -0.6987658 2.00     1
5 #619CFF -2.344163 -1.2108919 -0.5457815  0.8047203 2.3773189            0.4612987 -1.5528617 2.25     1
  group weight ymin_final ymax_final  xmin  xmax
1     1      1  -1.136265  0.9815675 0.625 0.875
2     2      1  -1.264659  1.0778202 0.875 1.125
3     3      1  -1.329028  1.5257798 1.625 1.875
4     4      1  -1.759846  0.1859752 1.875 2.125
5     5      1  -2.344163  2.3773189 2.125 2.375

您对 x、xmax 和 xmin 值感兴趣.前两行对应于 A 级.应该更改这些值.

You are interested in x, xmax and xmin values. First two rows correspond to level A. Those values should be changed.

dd$data[[1]]$x[1:2]<-c(0.75,1)
dd$data[[1]]$xmax[1:2]<-c(0.875,1.125)
dd$data[[1]]$xmin[1:2]<-c(0.625,0.875)

现在使用 ggplot_gtable() 和 grid.draw() 绘制变化的数据.

Now use ggplot_gtable() and grid.draw() to plot changed data.

library(grid)
grid.draw(ggplot_gtable(dd))

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