Hi
Avram Aelony wrote:
Dear R community,
I find R fantastic and use R whenever I can for my data analytic needs.
Certain data sets, however, are so large that other tools seem to be
needed to pre-process data such that it can be brought into R for
further analysis.
Questions I have for the many expert contributors on this list are:
1. How do others handle situations of large data sets (gigabytes,
terabytes) for analysis in R ?
I usually try to store the data in an SQLite database and interface via
functions from the packages RSQLite (and DBI).
No idea about Question No. 2, though.
Hope this helps,
Roland
P.S. When I am sure that I only need a certain subset of large data
sets, I still prefer to do some pre-processing in awk (gawk).
2.P.S. The size of my data sets are in the gigabyte range (not terabyte
range). This might be important if your data sets are *really large* and
you want to use sqlite: http://www.sqlite.org/whentouse.html
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