在dplyr函数中使用变量名 [英] Use variable names in functions of dplyr

问题描述

我想在dplyr函数中将变量名用作字符串.请参见下面的示例:

I want to use variable names as strings in functions of dplyr. See the example below:

df <- data.frame( 
      color = c("blue", "black", "blue", "blue", "black"), 
      value = 1:5)
filter(df, color == "blue")

它完美地工作，但是我想通过字符串来引用color，就像这样:

It works perfectly, but I would like to refer to color by string, something like this:

var <- "color"
filter(df, this_probably_should_be_a_function(var) == "blue").

我很乐意以任何方式做到这一点，并且非常乐意使用易于理解的dplyr语法.

I would be happy, to do this by any means and super-happy to make use of easy-to-read dplyr syntax.

推荐答案

在较新的版本中，我们可以使用创建带引号的变量，然后取消引号(UQ或!!)进行评估

In the newer versions, we can use we can create the variables as quoted and then unquote (UQ or !!) for evaluation

var <- quo(color)
filter(df, UQ(var) == "blue")
#   color value
#1  blue     1
#2  blue     3
#3  blue     4

由于运算符的优先级，我们可能要求()环绕!!

Due to operator precedence, we may require () to wrap around !!

filter(df, (!!var) == "blue")
#   color value
#1  blue     1
#2  blue     3
#3  blue     4

在新版本中，||具有更高的优先级，因此

With new version, || have higher precedence, so

filter(df, !! var == "blue")

应该工作(如@Moody_Mudskipper所评论)

should work (as @Moody_Mudskipper commented)

我们也可以使用:

 filter(df, get(var, envir=as.environment(df))=="blue")
 #color value
 #1  blue     1
 #2  blue     3
 #3  blue     4

重新排列了解决方案的顺序

Rearranged the order of solutions

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