3 thoughts on “5 functions to do Multiple Correspondence Analysis in R”

I loved your code using FactoMineR, I have obtained amazing plots using huge databases… However, I encountered problems when having “0” in any data matrix and the package MissMDA did not help… Any suggestions?

Some columns have “0”, some others are full of “0”, but I discarded those… Maybe MCA is better for categorical variables? I am trying with the correspondence analysis…

I loved your code using FactoMineR, I have obtained amazing plots using huge databases… However, I encountered problems when having “0” in any data matrix and the package MissMDA did not help… Any suggestions?

When you say “0” do you mean missing values? Or does it mean that you have very sparse matrices? Or maybe columns full of “0”?

Some columns have “0”, some others are full of “0”, but I discarded those… Maybe MCA is better for categorical variables? I am trying with the correspondence analysis…