This gives missing values an explicit factor level, ensuring that they
appear in summaries and on plots.
Usage
fct_explicit_na(f, na_level = "(Missing)")
Arguments
- f
A factor (or character vector).
- na_level
Level to use for missing values: this is what NAs will be changed to.
Examples
f1 <- factor(c("a", "a", NA, NA, "a", "b", NA, "c", "a", "c", "b"))
fct_count(f1)
#> # A tibble: 4 × 2
#> f n
#> <fct> <int>
#> 1 a 4
#> 2 b 2
#> 3 c 2
#> 4 NA 3
f2 <- fct_explicit_na(f1)
fct_count(f2)
#> # A tibble: 4 × 2
#> f n
#> <fct> <int>
#> 1 a 4
#> 2 b 2
#> 3 c 2
#> 4 (Missing) 3