Hi, I'm working with a very large dataset that has a relatively small amount of missingness in a few of the variables. (Any one variable has at most, say, 10% missingness). Amelia won't run on the entire thing since R runs out of memory. This happens even when I pare the dataset down to only those variables used in the analysis. I can get Amelia to run on 5% subsets of the data, but even 10% subsets are too large. So, is the best thing to do here to randomly split the data into 20 5% chunks and impute separately within each chunk? If so, how should I recombine the subsets of imputed data to perform my analysis? Thanks in advance for your help, Dennis - Amelia mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia