Here is a solution using dplyr >= 0.5
.
library(dplyr)
set.seed(123)
df <- data.frame(
x = sample(0:1, 10, replace = T),
y = sample(0:1, 10, replace = T),
z = 1:10
)
> df %>% distinct(x, y, .keep_all = TRUE)
x y z
1 0 1 1
2 1 0 2
3 1 1 4