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As the update join modifies the data object, a fresh copy is used for each benchmark run.
CT Connecticut 8: If the lookup table is more than two columns, it’s an update join, which doesn’t exist in dplyr for now. There’s currently no one-shot for trying to coalesce more than one column which can be at by using a lookup table approach within ifelse is. Sign up using Email and Password.
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Similar questions do not seem to have tidy solutions. CO Colorado 7: The basic functionality is built defined in coalescethough, which can be applied programmatically if you don’t want to specify ae of column names.
AL Alabama 2: Does the coalesce approach only work with NA and not other kinds of missingness like empty strings? This is such a common operation!
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Sign up or log in Sign up using Google. The OP has stated to prefer a “tidyverse” solution.
AR 604-5 Department of the Army Personnel Security Program Regulation (DoD 5200.2-R)
Nettle 6 However, update joins are already available with the data. An empty string is data in R, like an integer value of 0. AR Arkansas 5: DE Delaware 9: Tidyverse solution answer much preferred.
For now, you can build it manually.
AK Alaska 3: