How to Avoid the dplyr Dependency Driven Result Corruption
[This article was first published on R – Win-Vector Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
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.
To leave a comment for the author, please follow the link and comment on their blog: R – Win-Vector Blog.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.