I have:
df <-tibble(a=rep(NA, 3), b = c(T,NA,F), c =c("a", NA, "v"))
# A tibble: 3 x 3
a b c
<lgl> <lgl> <chr>
1 NA TRUE a
2 NA NA NA
3 NA FALSE v
and would like to remove all rows being all NA to get this:
# A tibble: 2 x 3
a b c
<lgl> <lgl> <chr>
1 NA TRUE a
2 NA FALSE v
I would like to have a solution using dplyr in a pipe:
df %>% ???
Note: This question is different from: Remove rows with all or some NAs (missing values) in data.frame because in the linked question is at least one not NA value per row.