I am kind-of stuck with a small problem here. I can't find a proper statistics based technique which will solve my problem!
Problem: I have a dependent variable (Categorical 4 Levels), and 6 Independent variables (all Categorical). I am trying to find out rules which will tell me how my dependent variable is getting affected by independent variables.
Eg: Say my dependent is Time which has 4 levels - Morning, Afternoon, Evening and Night. My Independent are, say 3 variables - Gender (Male/Female), SalaryBin (Bin1, Bin2, Bin3, Bin4) and Dept (IT, Marketing, Ops).
I want to just understand and NOT predict what kind of people come to office at a particular time. My results can be in form - Morning :- 75% Female, Bin2&Bin3 ,IT ; Afternoon:- 55% Male, Marketing Bin1 & Bin4.
Now the techinques i have tried include : RF and DT (CHAID using rPart in R). Would be great if someone could just point me toward the right technique for the above problem. I can take care of the rest.