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

[Werner Wernersen]

rrp is working!

Sorry, it was my mistake... fiddling around to find
out what the problem is I forgot to re-include the
variables which are to be imputed. It seems like this
case is not caught but the algorithm finishes with the
mentioned error.

Anyway, I am still a little fuzzy about imputation and
browsing the web I found no clear recommendations
regarding this topic. Which R function would you
recommend for imputing categorical variables /
factors?

Many thanks,
  Werner


> 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



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