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

From: Werner Wernersen <pensterfuzzer_at_yahoo.de>
Date: Wed, 05 Mar 2008 17:31:31 +0100 (CET)


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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