Hi all,
I've Googled far and wide but don't think I know the correct terms to
search for to find an answer.
I have a massive dataset where one of the factors is made up of both
individual items and lists of items (for example, "cat" and "cat, dog,
bird"). I would like to recode this factor somehow into only the first
element of the list (so every list starting with "cat," plus the
observations that were already just "cat" would all be set equal to
"cat"). I would ideally like to do this in some simple way that does
not require me to write hundreds of different sets of code (since the
lists probably start with 300+ different items). Is this possible?
Extremely complicated?
Also, I am sure this is much simpler, but I cannot seem to get rid of
levels of a factor that have no observations. I have tried setting the
levels of the factor to only the ones with observations that I am
interested in, but every time I summarize the variable there are still
100+ labels all with "0" as their count. This hasn't happened to me
before; is there an explanation for it?
Thanks very much,
Jen
---
Jennifer Walsh
Graduate Student, Developmental Psychology
University of Michigan
2020 East Hall, 530 Church St.
Ann Arbor, MI 48109-1043
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