Well, I've done everything I can think of the make the code more efficient, but it seems (if I read this error message correctly) that I'm running out of memory on what should be small data set.
Here's the sequence: A vector of 30 possible identifiers For each value, query a MySQL database to pull in 80 or so records Run a few different random Forests on those data Print the results as I go "rm()" all the objects created in the loop, including all the old data Next value, to repeat for each identifier. Round the 3rd time through the loop, I get kicked out with: "Error in as.vector(data) : cannot allocate vector of length 1072693248" This is on Mac OS X, which is UNIX-based (from freeBSD, as I understand it), so I haven't set anything special with the memory at startup. But then, I only have 80 observations running through at a time, so it doesn't seem like there should be a memory issue. Any ideas? ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
