[R] aregImpute (Hmisc package) : error in matxv(X, xcof)...

[Frank E Harrell Jr]

On 05/04/2010 06:52 AM, Uwe Ligges wrote:
> 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

In addition to that, this kind of message usually means that you have a 
singularity somewhere, e.g., you are using too many knots for spline 
terms or have a tiny cell in a categorical variable.

Frank

>
> 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
>>
>>
>>
>>
>> [[alternative HTML version deleted]]
>>
>>
-- 
Frank E Harrell Jr   Professor and Chairman        School of Medicine
                      Department of Biostatistics   Vanderbilt University