Hi, 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, Werner E-Mails jetzt auf Ihrem Handy. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.