sjmisc (version 2.3.0)

count_na: Frequency table of tagged NA values

Description

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

Usage

count_na(x, ...)

Arguments

x

A vector or data frame.

...

Optional, unquoted names of variables. 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 dplyr's select_helpers. The latter must be stated as formula (i.e. beginning with ~). See 'Examples' or package-vignette.

Value

A data frame with counted tagged NA values.

Examples

library(haven)
x <- labelled(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")),
              c("Agreement" = 1, "Disagreement" = 4, "First" = tagged_na("c"),
                "Refused" = tagged_na("a"), "Not home" = tagged_na("z")))
count_na(x)

y <- labelled(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")),
              c("Agreement" = 1, "Disagreement" = 4, "An E" = tagged_na("e"),
                "A D" = tagged_na("d"), "The eff" = tagged_na("f")))
# create data frame
dat <- tibble::data_frame(x, y)

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