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r – Update/Replace Values in Dataframe with Tidyverse Join – Stack Overflow
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If you’ve got a lot of columns, you can coalesce programmatically, or even put it in a function. As the update join modifies the data object, a fresh copy is used for each benchmark run. This question marked as duplicate, though link does not go to tidy solution.
You could just create a full look-up table and do a merge left join?
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If the lookup table is more than two columns, it’s an update join, which doesn’t exist in dplyr for now.
AK Alaska 3: Nettle 6 Sign up or log in Sign up using Google. Tidyverse solution answer much preferred. FL Florida CT Connecticut 8: Email Required, but never shown. Picking up Alistaire’s and Nettle’s suggestions and transforming into a working solution.
The basic functionality is built defined in coalescethough, which can be applied programmatically if you don’t want to specify lots of column names. The OP has stated to prefer a “tidyverse” solution. Post as a guest Name.
DE Delaware 9: Sr 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. For now, you can build it manually.