按geom_segment的因子分组数据 [英] Grouped data by factor with geom_segment

问题描述

我想通过使用 geom_segment 的因子组来显示细分群集，但是位置参数似乎没有做任何事情。这里有一个例子：

pre $ $ $ $ $ $ $ $ $ $ $ $ ，B，C）），
color = factor（c（1,2,3,4,5）），
start = c（1,2,1,4， 6），
end = c（3,4,6,5,8））

ggplot（mydata，aes（x = start，xend = end，y = variable，yend =变量））+
geom_segment（aes（color = color，position =stack），size = 3）

我也试过 position =dodge。 A组应该有3个部分，但它们都被绿色条遮住了。调整透明度将使视觉过于混淆。我如何确保每个因素的所有细分都并排显示？

我有点儿不确定的是@alistaire和我明确告诉你，所以我们的意思是：
$ b $ pre $ mydata = data.frame（variable =因子（c（A，A，A，B，C）），
color = factor（c（1,2,3,4,5）），
start = c（1,2,1,4,6），
end = c（3,4,6,5,8））

ggplot（mydata，aes （ymin = start，ymax = end，x = variable））+
geom_linerange（aes（color = color），position = position_dodge（width = 0.2），size = 3）+
coord_flip（）


结果如下：

I would like to show clusters of segments by factor groups using geom_segment but the position parameter doesn't seem to be doing anything. Here's an example:

mydata = data.frame(variable = factor(c("A","A","A","B","C")),
                    color = factor(c(1,2,3,4,5)),
                    start = c(1,2,1,4,6),
                    end = c(3,4,6,5,8))

ggplot(mydata, aes(x = start, xend = end, y = variable, yend = variable)) + 
  geom_segment(aes(color = color, position = "stack"), size = 3)

I've also tried position = "dodge". Group A should have 3 segments, but they're all covered up by the green bar. Adjusting the transparency will be too confusing visually. How can I make sure that all the segments for each factor show up side-by-side?

解决方案

I'm a little uncertain that @alistaire and I are communicating this clearly to you, so here's what we mean:

mydata = data.frame(variable = factor(c("A","A","A","B","C")),
                                        color = factor(c(1,2,3,4,5)),
                                        start = c(1,2,1,4,6),
                                        end = c(3,4,6,5,8))

ggplot(mydata, aes(ymin = start, ymax = end, x = variable)) + 
    geom_linerange(aes(color = color),position = position_dodge(width = 0.2), size = 3) + 
    coord_flip()

Which results in:

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