How to Avoid the dplyr Dependency Driven Result Corruption

December 6, 2017
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(This article was originally published at Statistics – Win-Vector Blog, and syndicated at StatsBlogs.)

In our last article we pointed out a dangerous silent result corruption we have seen when using the R dplyr package with databases.

To systematically avoid this result corruption we suggest breaking up your dplyr::mutate() statements to be dependency-free (not assigning the same value twice, and not using any value in the same mutate it is formed). We consider these to be key and critical precautions to take when using dplyr with a database.

We would also like to point out we are also distributing free tools to do this automatically, and a worked example of this solution.



Please comment on the article here: Statistics – Win-Vector Blog

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