On Tue, 13 Aug 2013, Walter Anderson wrote:
I have a set of survey data where I have answers to identify preference of
three categories using three questions
1) a or b?
2) b or c?
3) a or c?
and want to obtain weights for each of the preferences
something like X(a) + Y(b) + Z(c) = 100%
You could use a Bradley-Terry model for paired comparisons. This estimates
a so-called "worth parameter" for each alternative/object (a, b, c) and
these are typically scaled to sum to 1.
A wide collection of Bradley-Terry models including regressors is provided
in "BradleyTerry2", see http://www.jstatsoft.org/v48/i09/.
Basic Bradley-Terry models as well as other extended models for
preferences are provided in "prefmod", see
http://www.jstatsoft.org/v48/i10/.
Regression trees based on Bradley-Terry models are available in
"psychotree", see example("bttree", package = "psychotree") and the
references on the corresponding manual page.
Finally, the "eba" package implements further extensions of the
Bradley-Terry model.
hth,
Z
I am at a loss how how to calculate this from the data. Any help would be
appreciated!
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.