Hello, I am not fluent in computer hardware or software development so I will try to be as precise as I can. I am going to build some R routines to analyze large intraday financial data sets. For this project I think that I need be concerned about R memory limits and good memory management/practices. The following R help page states that the limit on individual objects (a vector) is around 200 million elements.
http://sekhon.berkeley.edu/base/html/Memory-limits.html What about data frames? And I suppose that I need to be aware of the objects in the working memory (overwrite as many objects as possible)? Note, I am new to the issue of good memory management. Any specific details on R memory and good practical advice are welcomed. Thanks, Chad R. Bhatti ______________________________________________ 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.
