I have recently been using R - more speciifcally the GUI packages Rattle 
and Rcmdr.

I like these products a lot and want to use them for some projects - the problem 
that I run into is when I start to try and run large datasets through them.  The 
data sets are 10-15 million in record quantity and usually have 15-30 fields 
(both numerical and categorical).

I saw that there were some packages that could deal with large datasets in R - 
bigmemory, ff, ffdf, biganalytics.  My problem is that I am not much of a coder 
(and the reason I use the above mentioned GUIs).  These GUIs do show 
the executable R code in the background - my thought was to run a small sample 
through the GUI, copy the code, and then incorporate some of the large data 
packages mentioned above - have anyone every tried to do this and would you have 
working examples.  In terms of what I am trying to do to the data - really 
simple stuff - desriptive statistics, k-means clustering, and possibly some 
decision trees.  Any help would be greatly appreciated.

Thank you - John
John Filben
Cell Phone - 773.401.2822
Email - johnfilben@yahoo.com 


      
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