`geom_a（stat =“b”，...）`和`stat_b（geom =“a”，...）“之间是否有区别？ [英] Is there any difference between `geom_a(stat="b", ...)` and `stat_b(geom="a",...)`?

问题描述

我已经看到了两种用法，但我不知道2在实际中的区别。

为什么

  stat_vline（xintercept =mean，geom =vline）＃this works 
  

但是

  geom_vline（xintercept =mean，stat =vline）＃这不起作用
  

这是否意味着在传递平均值到下一层，它是 vline 在这种情况下，函数变成字符？这种行为是否一般？

解决方案

您可能发现了一个错误。如果您指定了美学映射（再次）它可以工作：



  p < -  ggplot（mtcars，aes（x = wt， y = mpg））+ geom_point（）
p + geom_vline（aes（x = wt，y = mpg），xintercept =mean，stat =vline）
  

对于 ggplot2 的典型文件有点稀疏，这使得很难判断这是否是故意的。


I have seen both usages, yet I don't know the difference between 2 in practical.

And, why

stat_vline(xintercept="mean", geom="vline") # this works

But

geom_vline(xintercept="mean", stat="vline") # this doesn't work

Does that mean after passing mean to a next layer which is vline in this case, the function becomes character? Is this behaviour general?

解决方案

You might have found a bug. If you specify the aesthetics mapping (again) it works:

p <- ggplot(mtcars, aes(x = wt, y = mpg)) + geom_point()
p + geom_vline(aes(x=wt, y=mpg), xintercept="mean", stat="vline")

Typical for ggplot2 documentation is somewhat sparse, which makes it difficult to judge if this is intentional.

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