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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.
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Similar questions do not seem to have tidy solutions. Nettle 6 Sign up using Email and Password.
This question marked as duplicate, though link does not go to tidy solution. Does the coalesce approach only work with NA and not other kinds of missingness like empty strings? Sign up or log in Sign up using Google. The basic functionality is built defined in coalescethough, which can be applied programmatically if you don’t want to specify lots of column names.
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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. AZ Arizona 4: AR Arkansas 5: CA California 6: DE Delaware 9: Sign up using Facebook.
If you’ve got a lot of columns, you can coalesce programmatically, or even put it in a function. Email Required, but never shown.
CT Connecticut 8: However, update joins are already available with the data. Picking up Alistaire’s and Nettle’s suggestions and transforming into a working solution. For now, you can build it manually.
An empty string is data in R, like an integer value of 0. You could just create a full look-up table and do a merge left join?