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Imagine that I have a large number of points (given by coordinates x and y) that vary in density per space. For the purpose of demonstration it could be generated like this: s <- data.frame(x=runif(10000,0,900),y=runif(10000,0,900)); plot(s) I want to create polygons around the points where point density is greater than a selected threshold (for example, by using krieging or equivalent

I had a well-working R 1.7, however, today the programme did not start, and I recieved an error message. I have uninstalled the R 1.7, and then installed R 1.9. Still it does not start, giving the error message "Fatal error: invalid HOMEDRIVE". How can I get it to work? Bjorn Okland [[alternative HTML version deleted]]

This is not a request for coding help so there is no reproducible code, rather I am trying to figure out if anyone had had a similar experience. My question is related to partitioning the variance in rda (vegan) results for multiple groups of variables. I have a high dimensional dataset with 79 explanatory variables and 9 response variables. Within those 79 explanatory variables there are ~8