使用符号绘制线条而不是线条类型

Question

我有七只猴子的饮食信息，详细说明每只猴子饮食中每种饮食项目与SE的比例。数据包含在这里。

data <- structure(list(MonkeyID = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 
3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L, 
5L, 5L, 5L, 5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 6L, 
7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L, 7L), .Label = c("P06", "P07", 
"P08", "P09", "P10", "P12", "P13"), class = "factor"), Diet = structure(c(3L, 
2L, 8L, 1L, 5L, 4L, 6L, 7L, 9L, 3L, 2L, 8L, 1L, 5L, 4L, 6L, 7L, 
9L, 3L, 2L, 8L, 1L, 5L, 4L, 6L, 7L, 9L, 3L, 2L, 8L, 1L, 5L, 4L, 
6L, 7L, 9L, 3L, 2L, 8L, 1L, 5L, 4L, 6L, 7L, 9L, 3L, 2L, 8L, 1L, 
5L, 4L, 6L, 7L, 9L, 3L, 2L, 8L, 1L, 5L, 4L, 6L, 7L, 9L), .Label = c("Apple", 
"Bird", "Cherry", "Goats", "Orange", "Porcupine", "Raccoon", 
"SmChildren", "SmMamm"), class = "factor"), ObsProp = c(0.333333333, 
0, 0, 0.033333333, 0.366666667, 0.166666667, 0.033333333, 0.066666667, 
0, 0, 0, 0, 0, 0.684931507, 0.315068493, 0, 0, 0, 0, 0, 0, 0.022727273, 
0.840909091, 0.113636364, 0, 0, 0.022727273, 0, 0, 0, 0.016666667, 
0.916666667, 0.066666667, 0, 0, 0, 0, 0.016129032, 0.032258065, 
0.080645161, 0.790322581, 0.064516129, 0, 0, 0.016129032, 0.083333333, 
0, 0, 0, 0.791666667, 0.125, 0, 0, 0, 0.105263158, 0, 0, 0, 0.657894737, 
0.210526316, 0, 0, 0.026315789), BootSD = c(0.086106917, 0, 0, 
0.032505407, 0.088036303, 0.067629445, 0.033002128, 0.046190006, 
0, 0, 0, 0, 0, 0.05399944, 0.05399944, 0, 0, 0, 0, 0, 0, 0.022101535, 
0.055554128, 0.04806202, 0, 0, 0.022399649, 0, 0, 0, 0.016603534, 
0.03591038, 0.032417222, 0, 0, 0, 0, 0.016058474, 0.022618108, 
0.034249235, 0.051625307, 0.03101898, 0, 0, 0.015862183, 0.055436816, 
0, 0, 0, 0.082385021, 0.067258445, 0, 0, 0, 0.049480715, 0, 0, 
0, 0.076734249, 0.066770967, 0, 0, 0.026230342)), .Names = c("MonkeyID", 
"Diet", "ObsProp", "BootSD"), class = "data.frame", row.names = c(NA, 
-63L))

看起来像这样

> head(data)
  MonkeyID       Diet    ObsProp     BootSD
1      P06     Cherry 0.33333333 0.08610692
2      P06       Bird 0.00000000 0.00000000
3      P06 SmChildren 0.00000000 0.00000000
4      P06      Apple 0.03333333 0.03250541
5      P06     Orange 0.36666667 0.08803630
6      P06      Goats 0.16666667 0.06762944

使用此代码

require(ggplot2)
pd <- position_dodge(0.5)
ColorBlind <- c("#999999", "#E69F00", "#56B4E9", "#009E73", "#F0E442", "#0072B2", "#D55E00", "#CC79A7")
fig <- ggplot(data)+
  geom_point(aes(x=Diet, y=ObsProp ,color=MonkeyID),position = pd, size = 2.75)+
  geom_errorbar(aes(x=Diet, ymin=(ObsProp - BootSD), ymax=(ObsProp + BootSD),colour=MonkeyID), position = pd, cex =1.25)+  
  ylab("Proportion of prey in diet")+  
  theme(legend.position = "bottom")+
  theme_bw()+
  scale_colour_manual(values =ColorBlind)+
  scale_linetype_manual(values=c(1,2,3,4,5,6,7))+
  labs(color="Cougar ID")
fig 

我可以生成这个数字。

问题：颜色数字很贵。我需要区分没有颜色的单个猴子。简单地将MonkeyID映射到linetype不会产生可辨别的结果（如下所示）。

fig <- ggplot(data)+
  geom_point(aes(x=Diet, y=ObsProp ,type = MonkeyID),position = pd, size = 2.75)+
  geom_errorbar(aes(x=Diet, ymin=(ObsProp - BootSD), ymax=(ObsProp + BootSD),lty = MonkeyID), position = pd, cex =1.25)+  
  ylab("Proportion of prey in diet")+  
  xlab("Prey species")+
  ggtitle("Proportion of prey species in individual monkey diets")+
  theme(legend.position = "bottom")+
  theme_bw()+
  scale_colour_manual(values =ColorBlind)+
  scale_linetype_manual(values=c(1,2,3,4,5,6,7))+
  labs(color="Monkey ID")
fig 

问题是否可以使用符号“绘制”线条？例如，我可以使用空心方块（或空心圆，空心三角形，实心方块等）来描绘更能区分个体的线条吗？

我正在寻找的程式化和简化版本（仅适用于山羊）看起来像这样：

**编辑：**我对描绘每个人的点的形状不太感兴趣。更重要的是每个人geom_errorbar。如果geom_errorbar对每个人都是唯一的（如上所述）那么每个人geom_point的重要性就不那么重要了，甚至可以忽略它以减轻相互渗透。另外还有ggplot shape palette can deal with a maximum of 6 discrete values because more than 6 becomes difficult to discriminate

对于如何实现这一目标或其他想法以明确区分个人（没有颜色）的任何想法将不胜感激。

提前致谢

Answer 1

Ben Bolker的评论非常有帮助。实际上，我认为改变预期的结果是最好的选择。下面的代码有效地解决了我自己的问题。我想发布我自己的答案是将帖子显示为已关闭的最佳方式。

 fig <- ggplot(data)+
      geom_point(aes(x=Diet, y=ObsProp ,shape = MonkeyID),position = pd, size = 3)+
      geom_errorbar(aes(x=Diet, ymin=(ObsProp - BootSD), ymax=(ObsProp + BootSD),lty = MonkeyID), position = pd)+  
      ylab("Proportion of prey in diet")+  
      xlab("Prey species")+
      ggtitle("Proportion of prey species in individual monkey diets")+
      theme(legend.position = "bottom")+
      theme_bw()+
      scale_linetype_manual(values=c(1,1,1,1,1,1,1))+
      scale_shape_manual(values =c(19,6,15,5,1,8,17))+
      labs(color="Monkey ID")
    fig