Your question seems rather poorly specified to me, and you may have to
clarify it further, but I'll make a stab at it.
IF one can assume that:
1. "a" must occur before "b", "b" before "c" etc. AND
2. "sec" is always increasing
THEN
z <- tapply(sec, ind, FUN = min)
gives the first appearance
Dear List,
I have data on a approximately 100 individuals visiting a a central logging
station over a 1000 times. I would like to be able to calculate the
distribution of inter-visit time intervals for all possible pairs am stuck
on how to code for this. Single pairs are not a problem but extend
2 matches
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