Remove duplicated rows using dplyr?

Question

I have a data.frame like this - set.seed(123) df = data.frame(x=sample(0:1,10,replace=T),y=sample(0:1,10,replace=T),z=1:10) > df x y z 1 0 1 1 2 1 0 2 3 0 1 3 4 1 1 4 5 1 0 5 6 0 1 6 7 1 0 7 8 1 0 8 9 1 0 9 10 0 1 10I would like to remove duplicate rows based on first two columns. Expected output - df[!duplicated(df[,1:2]),] x y z 1 0 1 1 2 1 0 2 4 1 1 4I am specifically looking for a solution using `dplyr` package.

Answer 1

df %>%

distinct(x, y, .keep_all = TRUE)