Dear Krissie I think you may be looking for the aggregate command.
Note that this is a plain text list so if you post in HTML we do not see what you see. In this case we did not see any red numbers.
Michael On 25/01/2021 13:57, krissievdh wrote:
Hi, I have a dataset (d_vigi)with this kind of data: behavior type duration(s) observation nr species Non-vigilant 5 1 red deer Vigilant 2 1 red deer Vigilant 2 1 red deer Non-vigilant 3 1 red deer Vigilant 7 2 red deer Vigilant 2 2 red deer Non-vigilant 1 2 red deer Unkown 2 2 red deer Now I have to calculate the percentage of vigilant behavior spent per observation. So eventually I will need to end up with something like this: Observation nr Species vigilant(s) total (s) percentage of vigilant (%) 1 red deer 4 12 33 2 red deer 9 12 75 Now I know how to calculate the total amount of seconds per observation. But I don't know how I get to the total seconds of vigilant behavior per observation (red numbers). If I could get there I will know how to calculate the percentage. I calculated the total duration per observation this way: for(id in d_vigi$Obs.nr){ d_vigi$t.duration[d_vigi$Obs.nr==id]<-sum(d_vigi$'Duration.(s).x'[d_vigi$Obs.nr==id]) } this does work and gives me the total (s) but i don't know how to get to the sum of the seconds just for the vigilant per observation number. Is there anyone who could help me? Thanks, Krissie [[alternative HTML version deleted]] ______________________________________________ R-help@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.
-- Michael http://www.dewey.myzen.co.uk/home.html ______________________________________________ R-help@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.