Hi: I have a query related to the J and Jcross functions in the SpatStat package.
I use J to finding indications of clustering in my data, and Jcross to look for dependence between point patterns. I use the envelope function to do Monte Carlo tests to look for significance. So far so good. My question is how I can test to see if tests are significantly different. For example, if find J of pattern X and J of pattern Y, how could I determine the liklihood that those results come from different processes? Similarly, if I find J of marks X and Y, and X and Z, how could I determine the liklihood that Y and Z come from different processes? I would appreciate advice. Cheers Robert Biddle ______________________________________________ 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.
