Hello fellow R users! I wonder if someone can help with what i think should be a simple question but i can't seem to find the answer or work it out.
My data set is as such: Day Time ID Behaviour 1 9 A1 2 1 10 A2 3 .. .. .. .. 4 10 A1 10 4 11 A2 1 .. .. .. .. 30 1 B1 14 30 2 C3 4 So basically i have data for several days, for several times, for several IDs and for several Behaviours What i want to do is get an activity budget for ID from these data, e.g: data <- tapply(Behaviour,list(ID,Behaviour),length) This will give me a count of the number of times an ID does a certain behaviour for all the data, which is great - but i want to work out seasonal and diurnal activity budgets too, therefore i need to break the data down not just by ID but by day and time, too - I've searched on here and found nothing i could adapt to my data - it may be that i can't see quite how the code would work and i've overlooked something of importance! If anyone can point me in the right direction i'd be most grateful! Cheers, Ross -- View this message in context: http://www.nabble.com/Splitting-Data-by-Row-tp24112822p24112822.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.
