每条线有不同形状的点并使其显示在图例上

问题描述 投票:0回答:1

我的目标是让图表看起来像这样My Goal。我遇到的问题是 ggplot 不允许我使用超过 6 种形状的点,所以我的图表现在看起来像这样 current graph。我应该如何制作,以便每条线都有其独特的点形状,同时确保它们以正确的数字顺序清晰地显示? (即,不是像这样different shapes but unordered legend, and legend does not show the correct shapes of points,它是用以下代码生成的)

我的数据框data_long中的数据:

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5.84334969993377, 5.59917915801125, 4.86258697386329, 4.71444863014914, 
4.5258515829203, 4.44023340784953, 4.49021089461522, 4.0601002676063, 
3.80679536473264, 3.36223568778668, 3.26833864188926, 3.25649295550359, 
3.11084446590995, 2.86868707757046, 2.87914793117105, 2.7939746366475, 
2.57222595062283, 2.50336217394579, 2.08351142138273, 2.09604154052357, 
2.09111459705992)), row.names = c(NA, -506L), class = c("tbl_df", 
"tbl", "data.frame"))
density_vs_power <- ggplot(
  data = data_long,
  aes(power1, value, color = factor(group), group = group)
) +
  geom_line() +
  geom_point(shape = factor(data_long$group)) +
  scale_y_continuous(trans = "log10")

还有,有没有办法让线条的颜色更加离散,使得每条相邻的线条都更容易辨别?

目前,最干净的版本看起来像这样best version,但它返回警告:

The shape palette can deal with a maximum of 6 discrete values because more than 6 becomes difficult to discriminate ℹ you have requested 23 values. Consider specifying shapes manually if you need that many have them. 

非常感谢任何帮助!

r ggplot2 plot legend point
1个回答
0
投票

我会考虑使用其他一些

aes
来区分如此长的参数列表(以某种方式对它们进行分组,例如使用 6
shape
x 4
lty
)。

然而,这里有一个解决方案,可以通过 ggplot 来实现你的想法:

data_long %>% 
  mutate(fgr = factor(group, levels = (as.integer(.$group)) %>% unique %>%  sort)) %>% 
  
ggplot(
  aes(power1, value, color = fgr, group = group)
) +
  geom_line() +
  geom_point(aes(shape = fgr)) + 
  scale_y_continuous(trans = "log10") +
  scale_color_discrete(name = "group")+
  scale_shape_manual(breaks = 1:23, values = 1:23, name = "group")

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