Re: [R] missing values

From: Jonathan Baron <baron_at_psych.upenn.edu>
Date: Tue 26 Apr 2005 - 20:44:17 EST

On 04/26/05 09:58, Giordano Sanchez wrote:  Hello,  

 Thanks for the instructive responses. But two questions arise.  Firstable I can't manage to load the library "mice".  I'm using R 2.0.1 on my Debian

The package called norm also has functions for missing data. When I tried it, the values it gave were not sensible for my problem, but I may have done something wrong. (This was a simple problem that did not involve multiple imputation.)  

 The second question is more statistical:  aregImpute() seems to give good results but i would like to compare the  different methods not just graphically. It'is possible?

What different methods? Compare how? Are you assuming that we remember your last post?

 I also have other meteorological stations that have correleted data with the  data station I'm using? Can I use those data to improve my imputation  method.

This sounds like exactly what aregImput() is good for, or transcan(), depending on whether you need to make inferences (and hence do multiple imputation).

Jon

-- 
Jonathan Baron, Professor of Psychology, University of Pennsylvania
Home page: http://www.sas.upenn.edu/~baron

______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Received on Tue Apr 26 20:54:06 2005

This archive was generated by hypermail 2.1.8 : Fri 03 Mar 2006 - 03:31:26 EST