[R] Automatic splitting/combining nested categorical variable in glm

From: Jan van der Laan <rhelp_at_eoos.dds.nl>
Date: Thu, 14 Apr 2011 10:01:33 +0200


I have a categorical variable with a nested structure. For example, region: a country is split into parts, which in turn contain provinces, which contain municipalities:

Part -> Province -> Municipality

North

    Province A

       Municipality 1
       Municipality 2
       Municipality 3

...
Province B Municipality 1
...

    ...
West

    Province A

...

    Province B

...

    ...
...

What I would like to do is to automatically split/combine regions in a forward (starting with parts and then splitting) or backward (starting with municipalities and collapsing) manner. Do there exists methods for this in R? Googling I couldn't find anything, but perhaps I have been using the wrong terms.

Please note that I do not want to choose between using Part as covarate OR e.g. Province. I want to allow for different levels in one covariate, e.g. West split into Provinces and the remaining parts not.

    Also: I am using logistig regression (glm).

Thank you for your help.

With regards,

Jan



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