R help - May 2010 - aregImpute (Hmisc package) : error in matxv(X, xcof)...

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



      
	[[alternative HTML version deleted]]

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 at 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
>
>
>
>
> 	[[alternative HTML version deleted]]
>
>
>
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.