Good morning,
I'm working with a large set of data from a jewelry market survey. There are
over 7000 respondents who answer questions about their gender, future jewelry
purchase plans, class of jewelry purchase (bridal, a self purchase or a gift),
and the type of style (bracelet, etc.). Each person has an ID. I'd like to
create a list of lists that has the ID numbers for each combination of
categories: gender, plans, class, style. I could then find the IDs I want by
typing, say, z$Male$Yes$Gift$Bracelet, or write a function to call each of
these combinations for further data analysis. I want to avoid missing a
combination.
SPLIT allows me to easily split the data by gender - no big deal. Just
split(x, gender). Splitting each gender by purchase plans is harder, but
doable. The result of a little effort is z$Male$Yes, z$Male$No, z$Female$Yes,
z$Female$No. Perfect for my purpose. But after that, the task becomes more
difficult because of the need to keep track of the levels of each option - or
at least the way I was trying to do it. SPLIT can't seem to take a list of
groups and then to successively apply them, such as split(x, list(gender,
plans, class, style)). Does anyone know of a function that would allow me to
do what I want? Or should I forget this and try some other way to easily get
the IDs for a bunch of conditions?
Thanks,
Walt Paczkowski
________________________
Walter R. Paczkowski, Ph.D.
Data Analytics Corp.
44 Hamilton Lane
Plainsboro, NJ 08536
(V) 609-936-8999
(F) 609-936-3733
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