I'm sorry for spamming more question to this google group, however, its been the most useful resource for this FAMD analysis.
I am using the packages: FactoMineR, factoextra and Factoshiny to do factor analysis for mixed data. I have been trying to use factoshiny's missing data imputation option, but I keep getting an error for any of the options I select: "Error: unused argument (tab.comp = dfcompleted$tab.disj)".
I've also been getting an error for my other data set, Error in "apply(tabdisj[, (vec[i] + 1):vec[i + 1]], 1, which.max)" : dim(X) must have a positive length. Which I assume is a direct results of my misunderstanding with setting up my data set and defining my vectors. I have no idea how to do this, so resources would be helpful. This data set has 39 variables all mixed with multiple NA values. So I'm just confused how I would go about easily defining my entire data set.
Does anyone have a fix for this?
Thanks! I'm new to R, so any help or resource links would be great!
Emma
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"you do not have a variable with the names of the individuals (if a categorical variable takes different categories for each individuals, then it is not possible to use this column as a variable)."
Hi,
Can you chech that:
- you have the last version of the following packages: FactoMineR, missMDA and Factoshiny
- you do not have a variable with the names of the individuals (if a categorical variable takes different categories for each individuals, then it is not possible to use this column as a variable).
FH
Le 09/10/2020 à 18:18, E M a écrit :
I'm sorry for spamming more question to this google group, however, its been the most useful resource for this FAMD analysis.
I am using the packages: FactoMineR, factoextra and Factoshiny to do factor analysis for mixed data. I have been trying to use factoshiny's missing data imputation option, but I keep getting an error for any of the options I select: "Error: unused argument (tab.comp = dfcompleted$tab.disj)".
I've also been getting an error for my other data set, Error in "apply(tabdisj[, (vec[i] + 1):vec[i + 1]], 1, which.max)" : dim(X) must have a positive length. Which I assume is a direct results of my misunderstanding with setting up my data set and defining my vectors. I have no idea how to do this, so resources would be helpful. This data set has 39 variables all mixed with multiple NA values. So I'm just confused how I would go about easily defining my entire data set.
Does anyone have a fix for this?
Thanks! I'm new to R, so any help or resource links would be great!
Emma
--
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Pour vous désabonner de ce groupe et ne plus recevoir d'e-mails le concernant, envoyez un e-mail à l'adresse factomin...@googlegroups.com.
Cette discussion peut être lue sur le Web à l'adresse https://groups.google.com/d/msgid/factominer-users/64347ef0-3634-4c12-8397-ed3e6dda123dn%40googlegroups.com.
Pour vous désabonner de ce groupe et ne plus recevoir d'e-mails le concernant, envoyez un e-mail à l'adresse factominer-use...@googlegroups.com.
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