[R] PCA with NA

[Patrick Burns]

The 'factor.model.stat' function (available in the public
domain area of http://www.burns-stat.com) fits a principal
components factor model to data that can have NAs.
You might be able to copy what it does for your purposes.
It does depend on there being some variables (columns)
that have no missing values.

If that doesn't work for you, then I would guess that doing
missing value imputation could be another approach.  I'm
sure there be dragons there -- perhaps others on the list
know where they lie.

Patrick Burns
patrick at burns-stat.com
+44 (0)20 8525 0696
http://www.burns-stat.com
(home of S Poetry and "A Guide for the Unwilling S User")


Birgit Lemcke wrote:

>Dear all,
>(Mac OS X 10.4.11, R 2.6.0)
>I have a quantitative dataset with a lot of Na´s in it. So many, that  
>it is not possible to delete all rows with NA´s and also not  
>possible, to delete all variables with NA´s.
>Is there a function for a principal component analysis, that can deal  
>with so many NA´s.
>
>Thanks in advance
>
>Birgit
>
>
>Birgit Lemcke
>Institut für Systematische Botanik
>Zollikerstrasse 107
>CH-8008 Zürich
>Switzerland
>Ph: +41 (0)44 634 8351
>birgit.lemcke at systbot.uzh.ch
>
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