Hi R Experts, I need some advice on how to manage the number of models/objects I have in one workspace.
Below is typically how I get started each time I begin or resume an analysis. But now I am storing multiple models which are built off of dataframes with dims of 30,000 x 60. I am anticipating running into RAM issues. I am running 64bit r, r version: 2.15.1, Windows 7 PC w/ 8GB of RM and processor: Intel Core2 DUO CPU E8400@3.00Ghz<mailto:E8400@3.00Ghz> Let's say I have models: M1 thru Mk. How do I save these separately and the load them as needed? I am picturing storing them in one file and then calling one or more from that one file as needed. I hope that makes sense. # GETTING STARTED--------------------------------------------------- #Clear current objects and workspace rm(list=ls()) #Set Working directory setwd() #LOAD RDATA and History load("FY14_RF_Model_Dan.RData") loadhistory("FY14_RF_Model_Dan.Rhistory") ls() #Once I'm done I SAVE save.image("FY14_RF_Model_Dan.RData") savehistory("FY14_RF_Model_Dan.RHistory") Dan Lopez LLNL,HRIM - Workforce Analytics & Metrics [[alternative HTML version deleted]] ______________________________________________ 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.
