Hi R folks,

Here is my problem.

*1.* I have a large data file (say, in .csv or .txt format) containing 1
million rows and 500 variables (columns).

*2.* My statistical algorithm does not require the entire dataset but just
a small random sample from the original 1 million rows.

*3. *This algorithm needs to be applied 10000 times, each time generating a
different random sample from the 'big' file as described in (2) above.

Is there a way to 'import' only a (random) subset of rows from the .csv
file without importing the entire dataset? A quick search on various R
forums suggest that read.table() does not have this functionality.
Obviously, I want to avoid importing the whole file because of memory
issues. Looking forward to your help.

Thanks,
Khurram
------------------------
 Khurram Nadeem
 Postdoctoral Research Fellow
 Department of Mathematics & Statistics
 Acadia University, NS, Canada.

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