Hello,
This seems elegant to me but it's also the slowest, courtesy sort.
apply(x, 1, sort) |> t() |> unique()
(My tests show that for small inputs Greg's base apply is fastest, with
nrow(x) > 700, Eric's dplyr is fastest)
Hope this helps,
Rui Barradas
Às 15:13 de 20/08/21, Greg Minshall escreveu:
Eric,
x %>% transmute( a=pmin(Source,Target), b=pmax(Source,Target)) %>%
unique() %>% rename(Source=a, Target=b)
ah, very nice. i have trouble remembering, e.g., unique().
fwiw, (hopefully) here's a baser version.
----
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(A=min(y), B=max(y))))
unique(t(y))
----
cheers, Greg
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