为什么dplyr的过滤器会从因子变量中删除NA值? [英] Why does dplyr's filter drop NA values from a factor variable?

问题描述

当我使用dplyr包中的filter删除因子变量的级别时，filter也会删除NA值.这是一个示例:

When I use filter from the dplyr package to drop a level of a factor variable, filter also drops the NA values. Here's an example:

library(dplyr)
set.seed(919)
(dat <- data.frame(var1 = factor(sample(c(1:3, NA), size = 10, replace = T))))
#    var1
# 1  <NA>
# 2     3
# 3     3
# 4     1
# 5     1
# 6  <NA>
# 7     2
# 8     2
# 9  <NA>
# 10    1

filter(dat, var1 != 1)
#   var1
# 1    3
# 2    3
# 3    2
# 4    2

这似乎并不理想-我只想将行放在var1 == 1处.

This does not seem ideal -- I only wanted to drop rows where var1 == 1.

这似乎是在发生，因为任何与NA的比较都会返回NA ，然后该filter掉落.因此，例如，filter(dat, !(var1 %in% 1))会产生正确的结果.但是有没有办法告诉filter不要删除NA值?

It looks like this is occurring because any comparison with NA returns NA, which filter then drops. So, for example, filter(dat, !(var1 %in% 1)) produces the correct results. But is there a way to tell filter not to drop the NA values?

推荐答案

您可以使用:

 filter(dat, var1 != 1 | is.na(var1))
  var1
1 <NA>
2    3
3    3
4 <NA>
5    2
6    2
7 <NA>

不会.

为了完整起见，删除NA也是filter的预期行为，如以下所示:

Also just for completion, dropping NAs is the intended behavior of filter as you can see from the following:

test_that("filter discards NA", {
  temp <- data.frame(
    i = 1:5,
    x = c(NA, 1L, 1L, 0L, 0L)
  )
  res <- filter(temp, x == 1)
  expect_equal(nrow(res), 2L)
})

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