离散轴的间距与分类变量的关系 [英] Spacing of discrete axis by a categorical variable

问题描述

我有一个分类轴，我想在该轴上目视分离该分类变量中的组.我不想刻面，因为它占用了太多空间并且在视觉上还不那么干净.

I have a categorical axis where i'd like to visually separate groups within that categorical variable. I don't want to facet because it takes up too much space and is visually not as clean.

这是我想要的视觉示例，涉及一些乏味的黑客(将用于间隔的非数据条目的alpha设置为0).

Here's a visual example of what I want that involves some tedious hacking (setting alpha to 0 for non-data entries used for spacing).

library(ggplot2)
dd <- data.frame(x=factor(c(1,-1,2:10),levels=c(1,-1,2:10)), y=c(1,2,2:10), hidden=as.factor(c(0,1,rep(0,9))))
ggplot(data=dd,aes(x=x,y=y,alpha=hidden)) +
  geom_point() + scale_alpha_manual(values=c("1"=0,"0"=1))  +
  scale_x_discrete(breaks=c(1:10))

我希望能够创建该图而不必使用以下数据结构来破解(在数据量/我要绘制的组数中这是不可行的)额外类别(变量组"确定间隔的位置)

I'd like to be able create this plot without having to hack an extra category in (which wouldn't be feasible with the amount of data/number of groups I'm trying to plot) using the following data structure (where the variable "groups" determines where the spacing occurs):

dd2 <- data.frame(x=factor(1:10,), y=c(1:10), groups=c("A",rep("B",9)))

推荐答案

您可以通过scale_x_discrete的breaks和limits参数获得所需的结果.如果需要，将breaks设置为x轴上的因子水平，将limits设置为带垫片的因子水平.

You can get the result you are looking for via the breaks and limits arguments to scale_x_discrete. Set the breaks to the levels of the factor on the x-axis and the limits to the factor levels with spacers were you want/need them.

这里是一个例子:

library(ggplot2)

dd <- data.frame(x = factor(letters[1:10]), y = 1:10)

ggplot(dd) +
  aes(x = x, y = y) +
  geom_point() +
  scale_x_discrete(breaks = levels(dd$x),
                   limits = c(levels(dd$x)[1], "skip", levels(dd$x)[-1]))

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