Unique rows, considering two columns, in R, without order
dplyr, plyr, r, unique
Solution
There are lot's of ways to do this, here is one:
unique(t(apply(df, 1, sort)))
duplicated(t(apply(df, 1, sort)))
One gives the unique rows, the other gives the mask.
Problem
Unlike questions I've found, I want to get the unique of two columns without order. I have a df: ``` df<-cbind(c("a","b","c","b"),c("b","d","e","a")) > df [,1] [,2] [1,] "a" "b" [2,] "b" "d" [3,] "c" "e" [4,] "b" "a" ``` In this case, row 1 and row 4 are "duplicates" in the sense that b-a is the same as b-a. I know how to find unique of columns 1 and 2 but I would find each row unique under this approach.