I am trying to modify aggregate.data.frame to create an aggregate method for
survey design objects. I am running into problems because survey design
objects are lists, with the variables and other design information stored in
separate dataframes, or objects of other classes, in this list. *Apply and split
functions do not seem to work on the design objects. How do I approach this,
without having to rewrite *apply and split (and what would that involve?)? I
thought of creating lots of subsets, using "subset", but that does not seem to be
a good approach.
For example, the following line which does most of the work in the
aggregate.data.frame does not work for design objects:
y <- lapply(income, tapply, list(age,sex), svymean, brf.d.na,simplify =
FALSE)
neither does the following:
y <- lapply(split(income, list(age,sex)), svymean,brf.d.na)
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