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

[Frank E Harrell Jr]

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<dwinsemius at comcast.net>
> À : Marc Carpentier<marc.carpentier at ymail.com>
> Cc : Uwe Ligges<ligges at statistik.tu-dortmund.de>; r-help at 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<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.
>>
>> 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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> and provide commented, minimal, self-contained, reproducible code.


-- 
Frank E Harrell Jr   Professor and Chairman        School of Medicine
                      Department of Biostatistics   Vanderbilt University