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 -- Best regards, Luigi ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
