You have to take some things into account :
- the maximum memory set for R might not be the maximum memory available
- R needs the memory not only for the dataset. Matrix manipulations
require frquently double of the amount of memory taken by the dataset.
- memory allocation is important when deali
For me, I've found that I can easily work with 1 GB datasets. This includes
linear models and aggregations. Working with 5 GB becomes cumbersome.
Anything over that, and R croaks. I'm using a dual quad core Dell with 48
GB of RAM.
I'm wondering if there is anyone out there running jobs in the 1
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