
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.
# NOT RUN {
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))
miss_scan_count(dat_ms, c("-99","-98","N/A"))
common_na_numbers
miss_scan_count(dat_ms, common_na_numbers)
# }
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