This vector contains common number values of NA (missing), which is aimed to
be used inside naniar functions `miss_scan_count()`

and
`replace_with_na()`

. The current list of numbers can be found by printing
out `common_na_numbers`

. It is a useful way to explore your data for
possible missings, but I strongly warn against using this to replace NA
values without very carefully looking at the incidence for each of the
cases. Common NA strings are in the data object `common_na_strings`

.

`common_na_numbers`

An object of class `numeric`

of length 8.

original discussion here https://github.com/njtierney/naniar/issues/168

dat_ms <- tibble::tribble(~x, ~y, ~z, 1, "A", -100, 3, "N/A", -99, NA, NA, -98, -99, "E", -101, -98, "F", -1) miss_scan_count(dat_ms, -99) miss_scan_count(dat_ms, c(-99,-98))#> # A tibble: 3 x 2 #> Variable n #> <chr> <int> #> 1 x 2 #> 2 y 0 #> 3 z 2#> # A tibble: 3 x 2 #> Variable n #> <chr> <int> #> 1 x 2 #> 2 y 1 #> 3 z 2common_na_numbers#> [1] -9 -99 -999 -9999 9999 66 77 88#> # A tibble: 3 x 2 #> Variable n #> <chr> <int> #> 1 x 2 #> 2 y 0 #> 3 z 2