Is anyone could help me to resolve this problem?I'm presently an SAS user for my application and was exploring R to use it for my application.I have already posted this question on using my 32 bit machine with 2GB RAM and from what i understood was to use a 64Bit machine .I tried using 64bit machine using 4GB RAM .I'm running predictive analytics using R and to calibrate my model i used to adjust the variables used in the model and the problem happens here.R just runs out of memory .I tried garbage cleaning also. data APN condition quality site_zip sale_date sale_price estimate 1.1-1 good good 10201 1/1/07 $234,000 $254,000 1.5-1 average good 10201 1/1/08 $254,000 $276,000 1.6-1 poor poor 10202 1/1/06 $192,000 $199,000 1.7-1 good good 10202 1/1/07 $300,000 $305,000
Regression equation Sale_price=condition quality site_zip after running the above equation i will be getting the estimates and then i will calibrate the model using the dependent variables. For that purpose seperate dataset are created and run for 50 Iterations .Problem occurs here after running few iterations it shows out of space. I'm using R 2.10.0 If you need any other clarifications i shall provide the needed .Help me to solve this -- View this message in context: http://n4.nabble.com/R-Memory-Problem-tp1289221p1289221.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
