I appreciate all who helped all. My problem was not enough memory definietely. First I tried smaple function that solved my problem nicely. Second, I tried a method="sparse" option in lagsarlm model. Comparing results led me to conclude the first trial that estimates better results in the lagsarlm model.
Thanks millions, Kum On Fri, 11 Feb 2005 13:02:53 +0100 (CET), Roger Bivand <[EMAIL PROTECTED]> wrote: > On Fri, 11 Feb 2005, Kum-Hoe Hwang wrote: > > > Howdy R gurus ! > > > > I am newbie to R > > I use R 2.0.1 in Windows XP. When I run R > > I got the follwoing memory error. > > My physical memory size is 3 Gb. > > My R got the memory problem when it reached to > > about 2 Gb. > > This is not a question just about memory but also about methods. The > number of rows in sfr.data is sufficiently large (about 35000?) that the > NxN matrices being used need a lot of room. That is why the function > provides the "SparseM" method to cater for your situation (unless you have > chosen a representation of neighbour weights that is not similar to > symmetric). > > If you choose a symmetric or similar to symmetric representation, you can > use the "SparseM" method, which, as its name suggests, uses sparse > matrices. All of this is described in help(lagsarlm). > > It is also quite possible that the last 95% of your data add almost no new > information, so you could also consider choosing a subset for analysis, in > which case the "eigen" method using dense matrices should work. > > > > > Thanks in advance, > > > > > > > library(spdep) > > > sfr.lagsarlm <- lagsarlm(sfr.data$Bldgsqft ~ sfr.data$Ncounty + > > > sfr.data$Nugb + sfr.data$Ngroup, data=sfr.data, listw=sfr.listw, > > > method="eigen") > > Error: cannot allocate vector of size 1208235 Kb > > > memory.size(max=FALSE) > > [1] 17862584 > > > memory.limit(size=NA) > > [1] 3145728000 > > > > > > > > > > > -- > Roger Bivand > Economic Geography Section, Department of Economics, Norwegian School of > Economics and Business Administration, Breiviksveien 40, N-5045 Bergen, > Norway. voice: +47 55 95 93 55; fax +47 55 95 93 93 > e-mail: [EMAIL PROTECTED] > > -- Kum-Hoe Hwang, Ph.D. Kyonggi Research Institute, Korea (ROK) (Urban Planning and GIS) Phone : 82-31-250-3283 Email : [EMAIL PROTECTED] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html