Rainer M Krug <r.m.krug <at> gmail.com> writes: > > Hi > > I am running analysis with Kcross from the package spatstat and I am getting > a message that R can not allocate enough memory for a vector of 900MB. > R seems to be running towards the 2GB limit per process. > > The dataset is not to big (ca 3000 points) but the mask for the points is > extremely irregular (a buffer around roads which have been sampled) and I > can do trhe analysis if I use a rectangular mask covering the whole area > (which is obviously not correct).
Rainer, Would it be possible for you to rasterise the road buffer (I'm assuming that it is a vector buffer), so that the window is an image mask rather than a polygon window? My assumption would be that as.im() would get you there, but you'd need to watch the dimyx= argument. It is also usually helpful to look at traceback() after such a failure, so that you can see at which point in Kcross things fell apart - that is, which internal function was being used. Then you can concentrate on finding a way of solving that specific problem. Roger > > My question is: is there a way of splitting the dataset or changing the mask > son that I can do the analysis, as I don't want to move to a 64bit computer > (if not necessary). > > Thanks, > > Rainer > ______________________________________________ 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.
