Re : aregImpute (Hmisc package) : error in matxv(X, xcof)...
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. Marc ________________________________ De : Uwe Ligges <ligges at statistik.tu-dortmund.de> ? : Marc Carpentier <marc.carpentier at ymail.com> Cc : r-help at r-project.org Envoy? 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 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]]
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