Folks: Suppose I divide USA into 16 regions. My end goal is to run data mining / analysis on each of these 16 regions. The data for each of these regions (sales, forecast, etc.) will be in the range of 10-20 GB. At one time, I will need to load say 15 GB into R and then do analysis.
Is this something other R users are doing? Or, is it better to switch to SAS? Could you help me with any information on this? Thanks. Satish -- View this message in context: http://n4.nabble.com/Reading-large-files-tp1469691p1469700.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.
