Possible duplicate:
Trimming a huge (3.5 GB) csv file for reading in R
Does R have a good way to transparently handle data that doesn't fit in memory? There are several packages for working with big data, but I do not want to make a decision about deployment without understanding what a real interface is.
For example, I may have a collection of records that together do not fit into memory. However, if I downloaded a subset, it is represented by a very simple data frame, and I can make all kinds of useful selections and aggregations on this data. Is there any package that would allow me to consider the entire collection as a single data frame and perform the same operations on it transparently?
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