[R] rrp.impute: for what sizes does it work?

From: Werner Wernersen <pensterfuzzer_at_yahoo.de>
Date: Wed, 05 Mar 2008 16:37:07 +0100 (CET)


I have a survey dataset of about 20000 observations where for 2 factor variables I have about 200 missing values each. I want to impute these using 10 possibly explanatory variables which are a mixture of integers and factors.

Since I was quite intrigued by the concept of rrp I wanted to use it but it takes ages and terminates with an error. First time it stopped complaining about too little memory which I increased then from 1.5 to 2GB. Now it terminates after a long time with this: Error in nn[[i]] : subscript out of bounds

Has anybody encountered this problem before, is it due to my data? Could you recommend another package for such imputation?
I looked at the aregImpute in Hmisc but I don't really understand what it is doing.

Thanks a lot,

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