Marc,
In this particular case the code alone would have been sufficient.
To isolate the problem try the following:
require(Hmisc)
v <- varclus(~ variable1 + variable2 + ... all other variables given to
aregImpute, data=...)
plot(v)
redun(~variable1 + variable2 + ... all others, data=...)
Frank
On 05/04/2010 02:52 PM, Marc Carpentier wrote:
With "txt" extensions for the server filter (hope it's not the size "Message body is
too big: 182595 bytes with a limit of 150 KB").
Sorry.
----- Message d'origine ----
De : David Winsemius<dwinsem...@comcast.net>
À : Marc Carpentier<marc.carpent...@ymail.com>
Cc : Uwe Ligges<lig...@statistik.tu-dortmund.de>; r-help@r-project.org
Envoyé le : Mar 4 mai 2010, 20 h 28 min 53 s
Objet : Re: [R] Re : aregImpute (Hmisc package) : error in matxv(X, xcof)...
On May 4, 2010, at 2:13 PM, Marc Carpentier wrote:
Ok. I was afraid to refer to a known and obvious error.
Here is a testing dataset (pb1.csv) and commented code (pb1.R) with the
problems.
Thanks for any help.
Nothing attached. In all likelihood had you given these file names with
extensions of .txt, they would have made it through the server filter
Marc
________________________________
De : Uwe Ligges<lig...@statistik.tu-dortmund.de>
À : Marc Carpentier<marc.carpent...@ymail.com>
Cc : r-help@r-project.org
Envoyé le : Mar 4 mai 2010, 13 h 52 min 31 s
Objet : Re: [R] aregImpute (Hmisc package) : error in matxv(X, xcof)...
Having reproducible examples including data and the actual call that
lead to the error would be really helpful to be able to help.
Uwe Ligges
On 04.05.2010 12:23, Marc Carpentier wrote:
Dear r-help list,
I'm trying to use multiple imputation for my MSc thesis.
Having good exemples using the Hmisc package, I tried the aregImpute function.
But with my own dataset, I have the following error :
Erreur dans matxv(X, xcof) : columns in a (51) must be<= length of b (50)
De plus : Warning message:
In f$xcoef[, 1] * f$xcenter :
la taille d'un objet plus long n'est pas multiple de la taille d'un objet
plus court
= longer object length is not a multiple of shorter object length
I first tried to "I()" all the continuous variables but the same error occurs
with different numbers :
Erreur dans matxv(X, xcof) : columns in a (37) must be<= length of b (36)...
I'm a student and I'm not familiar with possible constraints in a dataset to be
effectively imputed. I just found this previous message, where the author's
autoreply suggests that particular distributions might be an explanation of
algorithms failure :
http://www.mail-archive.com/r-help@r-project.org/msg53534.html
Does anyone know if these messages reflect a specific problem in my dataset ?
And if the number mentioned might give me a hint on which column to look at
(and maybe transform or ignore for the imputation) ?
Thanks for any advice you might have.
Marc
David Winsemius, MD
West Hartford, CT
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