Frequency table of tagged NA values
This method counts tagged NA values (see tagged_na)
in a vector and prints a frequency table of counted tagged NAs.
count_na(x, ...)
x |
A vector or data frame. |
... |
Optional, unquoted names of variables that should be selected for
further processing. Required, if |
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)
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