Using filter_at to remove rows with some or all NAs for a specified set of columns. If we wanted to do this for all columns we could use janitor::remove_empty('rows')

filter_at_remove_nas.R

# create some data
(df <- data_frame(x = 1:2,
                  y = c(NA, NA),
                  z = c(NA, 3)))

# remove rows where either col y or z contain NA
# i.e. keep rows where all variables are not NA
df %>% 
  filter_at(vars(y:z), all_vars(!is.na(.)))

# remove rows where both cols y and z contain NA
# i.e. keep rows where any variable is not NA
df %>% 
  filter_at(vars(y:z), any_vars(!is.na(.)))