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 > > > > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
