I've created tag mixed-data. I mean a mixture of variables of different types or scales.
We long have tags
[ordinal-data]. All of them are necessary and should exist, to me. (We also have tag
[nominal] and I wonder shouldn't it be kept, dismissed or merged to
I think that we do need tag
[mixed-data]. In many analyses, mostly multivariate exploratory methods (cluster, factor, irt,...), but also in other as well, mixing variables of different types in one set represent a special problem to solve.
I want therefore to ask you some questions:
- Do we need that tag?
- Shall it be worded
- Shall we narrow the definition - in the excerpt - so that we don't include the (very usual) case of using mixed type predictors (continuous+categorical) in regression-like modeling in the concept of "mixed data", or include that case in the concept too - along with using mixed data in clustering, PCA, etc.?
- Other thoughts from you, please welcome.