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)
a vector or a data frame
minimum value of the new user na, if NULL
,
computed automatically (maximum of observed values + 1)
tagged_na_to_regular_na()
converts tagged NAs into regular NAs.
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