I have not ever tried to use any GUI package. Thus, I cannot give you a good
help.
Instead, I would like to report my experience of exploiting the 'ff' package
to have access to large dataset.

To achieve your goal, I think that you need to make any function which
handles ff objects.
According to my experience, when I created a function which handles ff
objects, it could not recognize these ff objects correctly inside the
function. If you encounter such problems, you can refer to this article.
http://wonsangyou.blogspot.com/2011/01/fast-access-to-large-database-in-r.html


2011/2/11 John Filben <johnfil...@yahoo.com>

> 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 - johnfil...@yahoo.com
>
>
>
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