Find "undirected" duplicates in a tibble

x %>% transmute( a=pmin(Source,Target), b=pmax(Source,Target)) %>%
  unique() %>% rename(Source=a, Target=b)

Kimmo,

i'll be curious to see other, maybe more elegant, answers.  in the
meantime, this seems to work.

----
  x = data.frame(Source=rep(1:3,4),
Target=c(rep(1,3),rep(2,3),rep(3,3),rep(4,3)))
  y <- apply(x, 1, function(y) return (c(n=min(y), x=max(y))))
  res <- data.frame()
  for (n in unique(y["n",])) {
    unique(y["x",y["n",]==n])
    res <- rbind(res, data.frame(A=c(n), B=unique(y["x",y["n",]==n])))
  }
  res
----

thanks for the question!

cheers, Greg

______________________________________________
R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Find "undirected" duplicates in a tibble

Thread (3 messages)