Bree,
See StackOverflow for my response ...
http://stackoverflow.com/questions/17244824/calculating-an-index-of-colocation-for-a-large-dataset-r/17299168#17299168
Jean
On Tue, Jun 25, 2013 at 5:00 PM, Bree W wrote:
> My apologies for cross-posting and for failing to reply to r-help. I'll get
My apologies for cross-posting and for failing to reply to r-help. I'll get
the hang of it.
This code seems to be getting me quite close, but I've encountered the
following error.
Error in compute(dat, depths, fish, zoop) : attempt to apply non-function
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Bree,
You should cc r-help on all correspondence so that the thread of
conversation is maintained for all readers. And you shouldn't attach any
files. If you want to share some data, used dput(). For example,
dput(head(whale))
dput(head(prey))
Give this code a try ... Note that I don't know wh
Are you saying that the dive data for a single whale with 8 dives is stored
in 8 separate files?
How are you reading these files into R? read.table()? Could you post an
example of the line of code that reads in the data?
Something like this might work for you.
# vector of file names
file.names
I have a complicated, multi-part question. My apologies if I do not make
myself clear. I am also a fairly novice R user, so forgive me if this seems
rudimentary. I want to calculate a index of colocation for whale dive data
and prey distribution data. This entails:
Calculating a frequency distribu
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