Faking tidyr::drop_na(..., logic = "all")

noam.R

library(tidyverse)
(df <- tibble(
  x = c(1, NA, 3, NA),
  y = c(1, NA, NA, 4),
  z = 1:4
))
#> # A tibble: 4 × 3
#>       x     y     z
#>   <dbl> <dbl> <int>
#> 1     1     1     1
#> 2    NA    NA     2
#> 3     3    NA     3
#> 4    NA     4     4

df %>% drop_na(x:y)
#> # A tibble: 1 × 3
#>       x     y     z
#>   <dbl> <dbl> <int>
#> 1     1     1     1

allNA <- . %>% map(is.na) %>% flatten_lgl() %>% all()
df %>%
  filter(!pmap_lgl(select(., x:y), lift_ld(allNA)))
#> # A tibble: 3 × 3
#>       x     y     z
#>   <dbl> <dbl> <int>
#> 1     1     1     1
#> 2     3    NA     3
#> 3    NA     4     4

Well, if you were provoked...

This is good because you can select the columns you want to be sensitive to the operation. The other options are less specific or specific to all columns being NA.