Converts values labelled as missings to NA.
Examples
# tibble generated by haven
input <- system.file("extdata/reds", package = "ILSAmerge")
tib <- do.call(rbind,justload(inputdir = input,population = "BCGV1"))
tib
#> # A tibble: 40 × 314
#> IDCNTRY IDSCHOOL ITLANGC IP1G00A IP1G00B IP1G00C
#> <dbl+lbl> <dbl+lb> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl>
#> 1 784 [United Arab E… 1001 53 [Arabic] 2 [Mid] 3 [March] 9 (NA) [Omi…
#> 2 784 [United Arab E… 1002 53 [Arabic] 1 [Early] 2 [February] 3 [Late]
#> 3 784 [United Arab E… 1003 53 [Arabic] 1 [Early] 2 [February] 3 [Late]
#> 4 784 [United Arab E… 1004 1 [English] 3 [Late] 2 [February] 3 [Late]
#> 5 784 [United Arab E… 1005 53 [Arabic] 1 [Early] 3 [March] 3 [Late]
#> 6 784 [United Arab E… 1006 53 [Arabic] 2 [Mid] 2 [February] 2 [Mid]
#> 7 784 [United Arab E… 1007 53 [Arabic] 1 [Early] 3 [March] 3 [Late]
#> 8 784 [United Arab E… 1008 53 [Arabic] 1 [Early] 3 [March] 2 [Mid]
#> 9 784 [United Arab E… 1009 53 [Arabic] 2 [Mid] 3 [March] 1 [Early]
#> 10 784 [United Arab E… 1010 53 [Arabic] 2 [Mid] 6 [June] 3 [Late]
#> # ℹ 30 more rows
#> # ℹ 308 more variables: IP1G00D <dbl+lbl>, IP1GIAA <dbl+lbl>,
#> # IP1GIAB <dbl+lbl>, IP1GIAC <dbl+lbl>, IP1GIAD <dbl+lbl>, IP1GIAE <dbl+lbl>,
#> # IP1GIAF <dbl+lbl>, IP1GIAG <dbl+lbl>, IP1GIBA <dbl+lbl>, IP1GIBB <dbl+lbl>,
#> # IP1GIBC <dbl+lbl>, IP1GIBD <dbl+lbl>, IP1G01A <dbl+lbl>, IP1G01B <dbl+lbl>,
#> # IP1G01C1 <dbl+lbl>, IP1G01C2 <dbl+lbl>, IP2G01A1 <dbl+lbl>,
#> # IP1G01AA <dbl+lbl>, IP1G02A <dbl+lbl>, IP1G02B <dbl+lbl>, …
mistoNAs(tib)
#> # A tibble: 40 × 314
#> IDCNTRY IDSCHOOL ITLANGC IP1G00A IP1G00B IP1G00C
#> <dbl+lbl> <dbl+lb> <dbl+lbl> <dbl+lbl> <dbl+lbl> <dbl+lbl>
#> 1 784 [United Arab … 1001 53 [Arabic] 2 [Mid] 3 [March] NA
#> 2 784 [United Arab … 1002 53 [Arabic] 1 [Early] 2 [February] 3 [Late]
#> 3 784 [United Arab … 1003 53 [Arabic] 1 [Early] 2 [February] 3 [Late]
#> 4 784 [United Arab … 1004 1 [English] 3 [Late] 2 [February] 3 [Late]
#> 5 784 [United Arab … 1005 53 [Arabic] 1 [Early] 3 [March] 3 [Late]
#> 6 784 [United Arab … 1006 53 [Arabic] 2 [Mid] 2 [February] 2 [Mid]
#> 7 784 [United Arab … 1007 53 [Arabic] 1 [Early] 3 [March] 3 [Late]
#> 8 784 [United Arab … 1008 53 [Arabic] 1 [Early] 3 [March] 2 [Mid]
#> 9 784 [United Arab … 1009 53 [Arabic] 2 [Mid] 3 [March] 1 [Early]
#> 10 784 [United Arab … 1010 53 [Arabic] 2 [Mid] 6 [June] 3 [Late]
#> # ℹ 30 more rows
#> # ℹ 308 more variables: IP1G00D <dbl+lbl>, IP1GIAA <dbl+lbl>,
#> # IP1GIAB <dbl+lbl>, IP1GIAC <dbl+lbl>, IP1GIAD <dbl+lbl>, IP1GIAE <dbl+lbl>,
#> # IP1GIAF <dbl+lbl>, IP1GIAG <dbl+lbl>, IP1GIBA <dbl+lbl>, IP1GIBB <dbl+lbl>,
#> # IP1GIBC <dbl+lbl>, IP1GIBD <dbl+lbl>, IP1G01A <dbl+lbl>, IP1G01B <dbl+lbl>,
#> # IP1G01C1 <dbl+lbl>, IP1G01C2 <dbl+lbl>, IP2G01A1 <dbl+lbl>,
#> # IP1G01AA <dbl+lbl>, IP1G02A <dbl+lbl>, IP1G02B <dbl+lbl>, …