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]]
>
> ______________________________________________
> R-help at 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