This is useful if you want to convert tagged missing values from SAS or
Stata, or user-defined missings from SPSS, to regular R NA
.
zap_missing(x)
x | A vector or data frame |
---|
x1 <- labelled( c(1, 5, tagged_na("a", "b")), c(Unknown = tagged_na("a"), Refused = tagged_na("b")) ) x1#> <labelled<double>[4]> #> [1] 1 5 NA(a) NA(b) #> #> Labels: #> value label #> NA(a) Unknown #> NA(b) Refusedzap_missing(x1)#> <labelled<double>[4]> #> [1] 1 5 NA NA#> <labelled_spss<double>[4]> #> [1] 1 2 1 99 #> Missing values: 99 #> #> Labels: #> value label #> 99 missingzap_missing(x2)#> [1] 1 2 1 NA #> attr(,"labels") #> missing #> 99 #> attr(,"class") #> [1] "haven_labelled"#> # A tibble: 4 × 3 #> x1 x2 y #> <dbl+lbl> <dbl+lbl> <int> #> 1 1 1 4 #> 2 5 2 3 #> 3 NA(a) [Unknown] 1 2 #> 4 NA(b) [Refused] 99 (NA) [missing] 1zap_missing(df)#> # A tibble: 4 × 3 #> x1 x2 y #> <dbl+lbl> <dbl+lbl> <int> #> 1 1 1 4 #> 2 5 2 3 #> 3 NA 1 2 #> 4 NA NA 1