[R] how to handle missing values

[Ko-Kang Kevin Wang]

There are many packages that handles missing values, aka imputations.

>From memory Hmisc is one of them.  But you can certainly search through 
CRAN.

On Wed, 16 Jul 2003, Tor A  Strand wrote:

> Date: Wed, 16 Jul 2003 12:11:32 +0200
> From: Tor A  Strand <Tor.Strand at cih.uib.no>
> To: R-list <r-help at stat.math.ethz.ch>
> Subject: [R] how to handle missing values
> 
> This group impresses me, so far I have been helped with all my questions
> within 24 hours. Thanks.
> 
> Therefore another one.
> 
> I am used to programs (such as STATA) where observations with missing values
> that are included in a model are simply ignored in the analysis. So far I
> have not been able to figure out how to deal with missing values in R and
> have solved the problem by deleting observations with missing values before
> loading them into R.
> 
> Can anyone give me a hint on how to do this in a simpler way?
> 
> 

-- 
Cheers,

Kevin

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Ko-Kang Kevin Wang
Master of Science (MSc) Student
SLC Tutor and Lab Demonstrator
Department of Statistics
University of Auckland
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