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I'm trying to figure out how to repeat a series of commands in R and have the outputs added to a dataframe after each iteration. My code starts this way... a<-read.csv("File1.csv") b<-read.csv("File2.csv")

I'm using Kernel Utilization distributions to estimate overlap in animal territories. There are various ways to calculate this overlap and one of the equations is : V.I. = ??? min (f1 (x,y,z), f2 (x,y,z)) dxdy where f1 = utilization distribution for bird 1 in 3 spatial dimensions (x,y,z). I can produce these already, but no idea how to do the rest. Thoughts? -- View this message in

I have a data set (a) with 3 columns (X,Y,Z). The first 2 columns are numerical. The third column (Z) is a factor with three levels ("A","B","C"). What I want to do is turn each of the "A's" into different random numbers between 1 and 4, "B's" into a random number between 5 and 8, etc. I tried this:

I am using package ks() to build 3D representations of bird territories and calculate territory volume from spatial data (simply x, y, and z coordinates). What I want to do is determine at what sample size (# locations collected) does the territory volume stop increasing. This should give me an idea of the number of points needed for future seasons. So I have a couple of birds each with 200