tagged_na_to_user_na() is the opposite of user_na_to_tagged_na() and convert tagged NA into user defined missing values (see labelled_spss()).

tagged_na_to_user_na(x, user_na_start = NULL)

tagged_na_to_regular_na(x)

Arguments

x

a vector or a data frame

user_na_start

minimum value of the new user na, if NULL, computed automatically (maximum of observed values + 1)

Details

tagged_na_to_regular_na() converts tagged NAs into regular NAs.

Examples

x <- c(1:5, tagged_na("a"), tagged_na("z"), NA)
x
#> [1]  1  2  3  4  5 NA NA NA
print_tagged_na(x)
#> [1]     1     2     3     4     5 NA(a) NA(z)    NA
tagged_na_to_user_na(x)
#> <labelled_spss<double>[8]>
#> [1]  1  2  3  4  5  6  7 NA
#> Missing range:  [6, 7]
#> 
#> Labels:
#>  value label
#>      6 NA(a)
#>      7 NA(z)
tagged_na_to_user_na(x, user_na_start = 10)
#> <labelled_spss<double>[8]>
#> [1]  1  2  3  4  5 10 11 NA
#> Missing range:  [10, 11]
#> 
#> Labels:
#>  value label
#>     10 NA(a)
#>     11 NA(z)

y <- c(1, 0, 1, tagged_na("r"), 0, tagged_na("d"))
val_labels(y) <- c(
  no = 0, yes = 1,
  "don't know" = tagged_na("d"),
  refusal = tagged_na("r")
)
y
#> <labelled<double>[6]>
#> [1]     1     0     1 NA(r)     0 NA(d)
#> 
#> Labels:
#>  value      label
#>      0         no
#>      1        yes
#>  NA(d) don't know
#>  NA(r)    refusal
tagged_na_to_user_na(y, user_na_start = 8)
#> <labelled_spss<double>[6]>
#> [1] 1 0 1 9 0 8
#> Missing range:  [8, 9]
#> 
#> Labels:
#>  value      label
#>      0         no
#>      1        yes
#>      8 don't know
#>      9    refusal
tagged_na_to_regular_na(y)
#> <labelled<double>[6]>
#> [1]  1  0  1 NA  0 NA
#> 
#> Labels:
#>  value label
#>      0    no
#>      1   yes
tagged_na_to_regular_na(y) %>% is_tagged_na()
#> [1] FALSE FALSE FALSE FALSE FALSE FALSE