To be able to do that, at least a couple of matrices of size 6804 x 6804 have to be created, and 1GB RAM is unlikely to be sufficient.
Andy From: Rich Jacques > > Dear all, > > I am trying to calculate the proximity matrix for a data set > with 16 variables and 6804 observations using random forests. > I have a Pentium 4, 3.00GHz processor with 1 GB of RAM. > When I use the command > > randomForest(data.scale,proximity=T) > > I get the warning message > > Error: cannot allocate vector of size 361675 kb > > Is this because I have reached the limit of what my computer > is capable of? Or is there a more efficient way to call randomForest? > > Thanks in advance, > > Rich Jacques > > -- > Rich Jacques > Department of Probability & Statistics > University of Sheffield > Hicks Building > Sheffield > S3 7RH > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
