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Tidyverse solution answer much preferred. The basic functionality is built defined in coalescethough, which can be applied programmatically if you don’t want to 604- lots of column names. If the lookup table is more than two columns, it’s an update join, which doesn’t exist in dplyr for now. As the update join modifies the data object, a fresh copy is used for each benchmark run. This is such a common operation! Sign up using Facebook.
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CO Colorado 7: CT Connecticut 8: You could just create a full look-up table and do a merge left join? Picking up Alistaire’s and Nettle’s suggestions and 60-45 into a working solution. CA California 6: The OP has stated to prefer a “tidyverse” solution.
If you’ve got a lot of columns, you can coalesce programmatically, or even put it in a function.
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