[R] Re : aregImpute (Hmisc package) : error in matxv(X, xcof)...
marc.carpentier at ymail.com
Tue May 4 20:13:08 CEST 2010
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.
De : Uwe Ligges <ligges at statistik.tu-dortmund.de>
À : Marc Carpentier <marc.carpentier at ymail.com>
Cc : r-help at 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.
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 :
> 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.
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