Hi All, I am trying to assemble a system that will allow me to work with large datasets (45-50 million rows, 300-400 columns) possibly amounting to 10GB + in size.
I am aware that R 64 bit implementations on Linux boxes are suitable for such an exercise but I am looking for configurations that R users out there may have used in creating a high-end R system. Due to a lot of apprehensions that SAS users have about R's data limitations, I want to demonstrate R's usability even with very large datasets as mentioned above. I would be glad to hear from users(share configurations and system specific information) who have desktops/servers on which they use R to crunch massive datasets. Any suggestions in expanding R's functionality in the face of gigabyte class datasets would be appreciated. Thanks Harsh Singhal Decision Systems, Mu Sigma Inc. Chicago, IL ______________________________________________ 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.
