Re: [R] principal component analysis for class variables

Hi, R users, I'm using the "lme" function in R to estimate a 2 level mixed effects model, in which the size of the groups are different. It turned out that It takes forever for R to converge. I also tried the same thing in SPSS and SPSS can give the results out within 20 minutes. Anyone can give

Re: [R] principal component analysis for class variables

The PCA doesn't work with class variables so the error is normal. You should try to work with a discriminant factorial analysis (see discrimin.coa in ade4). Alain andreiabb wrote: Dear Forum, I have a class variable 1 (populations A-E), and two other class variables, variable 2 and variabl

[R] principal component analysis for class variables

Dear Forum, I have a class variable 1 (populations A-E), and two other class variables, variable 2 and variable 3. What I want is to see if the combination of var 2 and var 3, will give me a pattern that allows to distinguish populations. I found several packages like ade4, with pcaiv function a