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Dataset size in R
2 messages · Peter.Watkins@foodscience.afisc.csiro.au, Uwe Ligges
Peter.Watkins at foodscience.afisc.csiro.au 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]]
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