count_na: Frequency table of tagged NA values
In sjmisc: Data and Variable Transformation Functions

Description Usage Arguments Value Examples

This method counts tagged NA values (see tagged_na) in a vector and prints a frequency table of counted tagged NAs.

1	count_na(x, ...)

`x`	A vector or data frame.
`...`	Optional, unquoted names of variables that should be selected for further processing. Required, if `x` is a data frame (and no vector) and only selected variables from `x` should be processed. You may also use functions like `:` or tidyselect's select-helpers. See 'Examples' or package-vignette.

A data frame with counted tagged NA values.

if (require("haven")) {
  x <- labelled(
    x = c(1:3, tagged_na("a", "c", "z"),
          4:1, tagged_na("a", "a", "c"),
          1:3, tagged_na("z", "c", "c"),
          1:4, tagged_na("a", "c", "z")),
    labels = c("Agreement" = 1, "Disagreement" = 4,
               "First" = tagged_na("c"), "Refused" = tagged_na("a"),
               "Not home" = tagged_na("z"))
  )
  count_na(x)

  y <- labelled(
    x = c(1:3, tagged_na("e", "d", "f"),
          4:1, tagged_na("f", "f", "d"),
          1:3, tagged_na("f", "d", "d"),
          1:4, tagged_na("f", "d", "f")),
    labels = c("Agreement" = 1, "Disagreement" = 4, "An E" = tagged_na("e"),
              "A D" = tagged_na("d"), "The eff" = tagged_na("f"))
  )

  # create data frame
  dat <- data.frame(x, y)

  # possible count()-function calls
  count_na(dat)
  count_na(dat$x)
  count_na(dat, x)
  count_na(dat, x, y)
}