用一些空字符串重新编码字符向量

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我一直在使用 dplyr :: recode（）函数重新编码一些变量。我有一个带有一些空字符串的字符变量，我也想重新编码。但是，如果我在函数的参数中引用空字符串，则会出现错误。

I have been using the dplyr::recode() function to recode some variables. I have one character variable with some empty strings that I would also like to recode. But if I refer to the empty string in the arguments to the function, I get an error.

# input x <- c("a", "b", "", "x", "y", "z") # desired output c("Apple", "Banana", "Missing", "x", "y", "z") dplyr::recode(x, "a"="Apple", "b"="Banana", ""="Missing") Error: attempt to use zero-length variable name

如果我将空字符串视为缺失值，该函数将其保留为空字符串。

If I treat the empty string as a missing value, the function leaves it as an empty string.

dplyr::recode(x, "a"="Apple", "b"="Banana", .missing="Missing") [1] "Apple" "Banana" "" "x" "y" "z"

如何重新编码值以获得所需的输出？

How can I recode the values to get the desired output?

推荐答案

您可以使用 na_if 来获取 .missing 工作正常：

You can use na_if to get .missing working properly:

x <- c("a", "b", "", "x", "y", "z") dplyr::recode(na_if(x,""), "a"="Apple", "b"="Banana", .missing="Missing") [1] "Apple" "Banana" "Missing" "x" "y" "z"