[R] Error in using multiple correspondence analysis in R's FactoMineR

[Rui Barradas]

Hello,

You have set quanti.sup to retinol (df[[2]]), not age. In the code it's 
quanti.sup=2.

Without data it's difficult to say but try changing it.

Hope this helps,

Rui Barradas

Às 08:15 de 09/01/22, Luigi Marongiu escreveu:
> Hello,
> I am trying to apply multiple correspondence analysis to a data frame
> using the FactoMineR package following the post
> http://sebastien.ledien.free.fr/unofficial_factominer/factosbest/dimensions-description.html
> 
> My data frame has this structure:
> ```
>> str(df)
> 'data.frame': 27 obs. of  33 variables:
> $ id              : int  1 6 9 10 11 12 13 36 40 49 ...
> $ retinol         : num  2.56 2.93 3.21 1.73 1.32 2.34 2.43 2.54 0.37 1.22 ...
> ...
> $ age             : int  60 63 66 72 64 73 66 68 72 59 ...
> $ death           : Factor w/ 2 levels "No","Yes": 1 2 1 1 2 1 1 2 1 1 ...
> ...
> $ age_bin         : Factor w/ 4 levels "<30","30-49",..: 3 3 3 4 3 4 3 3 4 3 ...
> ```
> Thus, following the post, I have set the quantitative supplementary
> column to `age` (df[10]) and then tested the factorial variables
> (df[11:33) but:
> ```
>> res.mca = MCA(df, quanti.sup=2, quali.sup=c(11:33))
> Error in dimnames(res) <- list(attributes(tab)$row.names, listModa) :
> length of 'dimnames' [2] not equal to array extent
>> nrow(df[10])
> [1] 27
>> nrow(df[11:33])
> [1] 27
> ```
> 
> What would be the problem?
> Thank you
> 
>