%.% (dplyr) 和 %>% (magrittr) 之间的差异 [英] Differences between %.% (dplyr) and %>% (magrittr)

问题描述

dplyr 包引入了 %.% 操作符将左侧作为右侧函数的参数传递，类似于 *NIX 管道.magrittr 包是一个更轻量级的包，它的存在仅用于定义类似管道的运算符.

The dplyr package introduced the %.% operator to pass the left hand side as an argument of the function on the right hand side, similar to a *NIX pipe. The magrittr package is a much more lightweight package that exists to define only that pipe-like operator.

然而一个使用 %.% 和另一个 %>%.

Yet one uses %.% and the other %>%.

两者有什么区别吗?我可以只在 dplyr 代码中使用 %>%，否则会导致细微的错误吗?

Is there any difference between the two? Can I just use %>% even in dplyr code, or will that cause subtle bugs?

在检查代码时，它们在早期采用了截然不同的路径，因此简单的眼球比较就会表明它们是不同的.当我在网上搜索它们时，我找不到任何记录在案的内容，也没有在文档本身中找到任何内容.

On inspecting the code, they take very different paths early on, so simple eyeball comparison would suggest that they're different. I haven't been able to find anything documented when I search the web for them, nor have I run across anything in the documentation itself.

推荐答案

dplyr 现在从 magrittr 导入 %>% 并默认使用它.有关详细信息，请参阅此答案.

dplyr now imports %>% from magrittr and uses it by default. See this answer for details.

差异包括

• 您可以使用 . 作为左侧的占位符，例如

• you can use a . as placeholder for the left-hand side, e.g.

 iris %>% plot(Sepal.Length ~ Sepal.Width, data = .)

%>% 尊重(rhs)，例如

 1:10 %>% (call("sum"))
 1:10 %>% (function(x) x^2 + 2*x) 

为了更有用这个例子，见
https://gist.github.com/anonymous/0c69b019d0b4f6ae5050

For a more useful example of this, see
https://gist.github.com/anonymous/0c69b019d0b4f6ae5050

对于单参数函数调用，可以省略括号:

For single argument function calls, you can omit parens:

 "2014-05-18" %>% as.Date

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