Dear R-helpers
I have a data set of roughly 10 million records, 7 columns. It has only
about 500MB as a csv, so it fits in the memory. It's painfully slow to
do anything with it, but it's possible. I also have another dataset of
covariates that I would like to explore - with about 4GB of data...
I would like to merge the two datasets and use lmer to build a mixed
effects model. Is there a way, for example using 'bigmemory' or 'ff', or
any other trick, to enable lmer to work on this data set?
I will greatly appreciate any suggestions.
--
Michal J. Figurski, PhD
HUP, Pathology & Laboratory Medicine
Biomarker Research Laboratory
3400 Spruce St. 7 Maloney S
Philadelphia, PA 19104
tel. (215) 662-3413
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