Ross Culloch wrote:
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!
Hi Ross,
The brkdn function in the prettyR package does this, and I am currently
working on a more efficient version of this that will drive an improved
hierobarp function in the plotrix package.
Jim
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