Greetings R-Geniuses,
What is the most efficient way to handle the problem described below?
Thanks
Marsh Feldman
Problem description:
Each U.S. state has its own matrix. The rows are dates, the columns are
industries, and each cell contains total statewide employment at the
given time and industry. There is a similar matrix for the U.S. as a
whole. Due to disclosure rules and other limitations, one or more
industries may be missing from any given matrix (including the national
one), but industries missing from one matrix are sometimes not missing
from others. Industry numbers are treated as factors commonly used as
column names.
I want to do two things:
1. For any given set of states, find the set of industries present in
all of them and use this to select this subset of industries from
each state's matrix.
2. For any given set of states, find the set of industries present in
any of the states.
3. Given that one or more cells in the table may be NA, identify
those industries present in all states and have no values equal to NA.
I can do this using for() statements and %in%, but is there is a more
efficient way? Your thoughts?
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