Remove rows where all variables are NA using dplyr

Question

I\'m having some issues with a seemingly simple task: to remove all rows where all variables are NA using dplyr. I know it can be done using base R (Re

Answer 1

Since dplyr 0.7.0 new, scoped filtering verbs exists. Using filter_any you can easily filter rows with at least one non-missing column:

dat %>% filter_all(any_vars(!is.na(.)))

Using @hejseb benchmarking algorithm it appears that this solution is as efficient as f4.