在R中有条件地用NA替换值

在这种情况下,列是 factor .皈依 character 它应该会起作用

library(dplyr)
have %>% 
    mutate(gender = as.character(gender), 
    gender = replace(gender, gender == "I Do Not Wish to Disclose", NA))

价值观的变化 gender 是当它被强制为其整数存储值时

as.integer(factor(c("Male", "Female", "Male")))

我会使用非常简洁的函数 na_if() 从…起 dplyr .

library(dplyr)

have <- data.frame(gender = c("F", "M", "NB", "I Do Not Wish to Disclose"))

have |> mutate(gender2 = na_if(gender, "I Do Not Wish to Disclose"))

输出:

#>                      gender gender2
#> 1                         F       F
#> 2                         M       M
#> 3                        NB      NB
#> 4 I Do Not Wish to Disclose    <NA>

^{于2022年4月19日由 reprex package (v2.0.1)}