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.
