Andrew,
Interesting issue. My tack would be to define an age key that
incorporates all of the different cut-points that are used in your data
tables. Then, with the use of some simple functions, you can test which
factors are "nested" within other factors, and you can broaden those
categorie
ear folks –
I have a question, though it is more of a logic- or a good
practices-question than a programming question per se. I am working with
data from the American Community Survey summary file. It is mainly
categorical count data. Currently I am working with about 40 tables covering
about 35
2 matches
Mail list logo
