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]]
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