I have a data frame that looks as follows:
df <- data.frame(x = c('a', 'b', 'c', 'd'),
y = c('b', 'a', 'c', 'c'),
z = c(1, 1, 1, 4))
I would like to identify duplicate cases/rows. Seems like simple task I thought I should be able to tackle via duplicates or unique. Not so much, unless I'm missing something obvious here.
I would like to return a data frame where case 1 (a-b) and case 2 (b-a) are recognized as the same. In other words, the result of this should be
x y z
a b 1
c c 1
d c 4
I don't care which case, 1 or 2, gets returned, so long as there is only one.
Any help would be much appreciated!
