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