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
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