> z <- tibble(Code=c("NA","NZ",NA), Name=c("Namibia","New Zealand","?")) > z # A tibble: 3 x 2 Code Name <chr> <chr> 1 NA Namibia 2 NZ New Zealand 3 <NA> ? > subset(z, Code=="NA") # A tibble: 1 x 2 Code Name <chr> <chr> 1 NA Namibia > subset(z, is.na(Code)) # A tibble: 1 x 2 Code Name <chr> <chr> 1 <NA> ? > subset(z, Code==NA_character_) # A tibble: 0 x 2 # ... with 2 variables: Code <chr>, Name <chr>
On Wed, Sep 1, 2021 at 3:33 PM Dr Eberhard Lisse <nos...@lisse.na> wrote: > Hi, > > how can I look for the ISO code for Namibia 'NA' in a list of ISO codes > which looks something like > > # A tibble: 10 × 1 > location_code > <chr> > 1 NC > [...] > 10 NZ > > but should look like > > # A tibble: 10 × 1 > location_code > <chr> > 1 NA > 2 NC > [...] > 11 NZ > > In other words 'NA' is taken for the missing value NA. > > greetings, el > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.