[EMAIL PROTECTED] wrote: > Dear listers, > > > > I would like to know whether a maximum size is set for data sets in R.
Well, in theory, there are some limits re. size of some integers, but you are far away, as far as I understand. In practice, you will somewhere hit the limit of available memory in your machine. > I'm planning on analysing data sets which have 330000 points for a > sample. The response is from GCxGC output. I don't understand this point: How many observations and how many variables? > Also, with data analysis, is there a time-cost saving by performing the > analysis in Linux as against doing it in Windows XP? Depends on the problem. For really huge data, you might want to use a "64bit machine", 64bit adressing for a single R process is (yet) only supported on Linux. If memory does not matter, Linux is sometimes a bit faster, but it depends also on other facts like using CPU optimized linear algebra systems such as ATLAS or Goto's BLAS. Uwe Ligges > > > Many thanks, Peter > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html