当我添加形状时，分组哑铃图变得不稳定

我有以下数据显示白人与黑人在各个领域的一致性百分比。我想创建一个分组哑铃图，其中国家值和州值彼此相邻，以便于比较。

Domain = c("A", "B", "C", "D", "E", "F", "G", 
"A", "B", "C", "D", "E", "F", "G", "A", "B", "C", "D", "E", "F", 
"G", "A", "B", "C", "D", "E", "F", "G") 

Area = c("State", "State", 
"State", "State", "State", "State", "State", "National", "National", 
"National", "National", "National", "National", "National", "State", 
"State", "State", "State", "State", "State", "State", "National", 
"National", "National", "National", "National", "National", "National"

race = c("White", "White", "White", "White", "White", "White", 
"White", "White", "White", "White", "White", "White", "White", 
"White", "Black", "Black", "Black", "Black", "Black", "Black", 
"Black", "Black", "Black", "Black", "Black", "Black", "Black", 
"Black") 

pct_agreement = c(0.557610213756561, 0.735042750835419, 
0.567375898361206, 0.633762538433075, 0.64091557264328, 0.750356614589691, 
0.564539015293121, 0.651861846446991, 0.697574973106384, 0.653521358966827, 
0.713940441608429, 0.680985689163208, 0.751584351062775, 0.642535984516144, 
0.488484561443329, 0.581625580787659, 0.456939995288849, 0.580652594566345, 
0.630399644374847, 0.711643815040588, 0.347775995731354, 0.627996683120728, 
0.668737232685089, 0.610245823860168, 0.690373718738556, 0.705771028995514, 
0.738830924034119, 0.550933301448822)

当我的代码如下时，我得到一个图表，其中所有点都很好地排列：

df <- data.frame(Domain, Area, race, pct_agreement)

ggplot(df) +
  geom_point(aes(x=Domain, y=pct_agreement, color=Area), 
             position=position_dodge(width=1)) +
  coord_flip()

但当我尝试根据受访者是黑人还是白人来制作不同的形状时，一切都突然看起来很奇怪。这是一个错误吗？有什么方法可以修复或解决它吗？

我也不确定如何在“哑铃”两端之间添加一条线——我尝试使用 geom_line(aes(group=Area)) 但这导致了all连接的哑铃。

ggplot(df) +
  geom_point(aes(x=Domain, y=pct_agreement, color=Area, shape=race), 
             position=position_dodge(width=1)) +
  coord_flip()

注意：我浏览了该网站上的很多帖子试图找到答案，许多人建议使用方面。这对我不起作用，因为我的老板希望将所有内容都显示在一张图表上。

躲避是基于群体和两个分类变量（race and Area）最终每个域都会有四个一组，因此这些点会躲到四个不同的位置。您可以通过明确设置群体审美来避免这种情况。

首先是数据：

Domain = c("A", "B", "C", "D", "E", "F", "G", 
           "A", "B", "C", "D", "E", "F", "G", "A", "B", "C", "D", "E", "F", 
           "G", "A", "B", "C", "D", "E", "F", "G") 

Area = c("State", "State", 
         "State", "State", "State", "State", "State", "National", "National", 
         "National", "National", "National", "National", "National", "State", 
         "State", "State", "State", "State", "State", "State", "National", 
         "National", "National", "National", "National", "National", "National")

race = c("White", "White", "White", "White", "White", "White", 
         "White", "White", "White", "White", "White", "White", "White", 
         "White", "Black", "Black", "Black", "Black", "Black", "Black", 
         "Black", "Black", "Black", "Black", "Black", "Black", "Black", 
         "Black") 

pct_agreement = c(0.557610213756561, 0.735042750835419, 
                  0.567375898361206, 0.633762538433075, 0.64091557264328, 0.750356614589691, 
                  0.564539015293121, 0.651861846446991, 0.697574973106384, 0.653521358966827, 
                  0.713940441608429, 0.680985689163208, 0.751584351062775, 0.642535984516144, 
                  0.488484561443329, 0.581625580787659, 0.456939995288849, 0.580652594566345, 
                  0.630399644374847, 0.711643815040588, 0.347775995731354, 0.627996683120728, 
                  0.668737232685089, 0.610245823860168, 0.690373718738556, 0.705771028995514, 
                  0.738830924034119, 0.550933301448822)

df <- data.frame(Domain, Area, race, pct_agreement)

现在情节：

library(tidyverse)

ggplot(df) +
  geom_point(
    aes(
      x=Domain, y=pct_agreement, color=Area, shape=race,
      group = Area
    ), 
    position=position_dodge(width=1)
  ) +
  coord_flip()

^{Created on 2019-11-08 by the reprex package https://reprex.tidyverse.org (v0.3.0)}

用线连接点是很困难的。我认为这值得一个单独的问题。我发了一张here. https://stackoverflow.com/q/58761704/4975218