I think Enrico's solution is probably better overall and doesn't
require as much ugly behind-the-scenes trickery, but here's another
fun way that seems to run ever-so-marginally faster on my machine.
The vapply call is messy, but it seems to get the job done -- if it's
not clear, the point is to b
Hi Wolfgang,
how about a loop?
matRandom <- matrix(runif(n=60), ncol=6)
## variant 1
system.time(test1 <- pmax(matRandom[,1], matRandom[,2], matRandom[,3],
matRandom[,4], matRandom[,5], matRandom[,6]))
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0.010.000.01
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