[R] how to handle missing values

Ko-Kang Kevin Wang kwan022 at stat.auckland.ac.nz
Wed Jul 16 12:19:50 CEST 2003

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

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

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?



"On two occasions, I have been asked [by members of Parliament],
'Pray, Mr. Babbage, if you put into the machine wrong figures, will
the right answers come out?' I am not able to rightly apprehend the
kind of confusion of ideas that could provoke such a question."

-- Charles Babbage (1791-1871) 
---- From Computer Stupidities: http://rinkworks.com/stupid/

Ko-Kang Kevin Wang
Master of Science (MSc) Student
SLC Tutor and Lab Demonstrator
Department of Statistics
University of Auckland
New Zealand
Homepage: http://www.stat.auckland.ac.nz/~kwan022
Ph: 373-7599
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