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CO Colorado 7: Picking up Alistaire’s and Nettle’s suggestions and transforming into a working solution. There’s currently no one-shot for trying to coalesce more than one column which can be done by using a lookup table approach within ifelse is.
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Created on by the reprex package v0. Sign up using Facebook. Similar questions do not seem to have tidy solutions. You could just create a full look-up table and do a merge left join? Sign up or log in Sign up using Google. AZ Arizona 4: For now, you can build it manually.
AK Alaska 3: If the lookup table is more than two columns, it’s an update join, which doesn’t exist in dplyr for now. The basic functionality is built defined in coalescethough, which can be applied programmatically if you don’t want to specify lots of column names.
Post as a guest Name. An empty string is data in R, like an integer value of 0. However, update joins are already available with the data. CT Connecticut 8: This is such a common operation!
This question marked as duplicate, though link does not go to tidy solution.
AR 604-5 Department of the Army Personnel Security Program Regulation (DoD 5200.2-R)