Comments (3)
Yep you’re right that there are these annoying messages when inflating, but I didn’t want to go too much into detail in the book, because the main subject is not package development. These warnings are not an issue if you’re building your analysis as a pakage to take advantage of all the different tools that exist for development. I didn’t want to explain concepts that are not that easy to grasp and that not really required.
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I thought might be the case. Just out of interest, do you know what the best practice is? (Is it to use .data$ and ""?)
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The data.table
team prefer to define NULL values as written here:
make_commune_level_data <- function(flat_data){
locality <- NULL
flat_data |>
filter(!grepl("nationale|offres", locality),
!is.na(locality))
}
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Related Issues (20)
- Typo - Section 1.5 HOT 1
- Consider adding Github links in book HOT 1
- Thousands marker HOT 3
- Associate Acronyms with their definition HOT 1
- what are the packages doing in the first example? HOT 2
- apt-get vs apt HOT 3
- some issues on the page about git HOT 2
- functional programming part HOT 1
- typo in basic reproducibility HOT 1
- various issues in "14 Reproducible analytical pipelines with Docker" HOT 3
- Mention RStudio projects (.Rproj) for reproducibility HOT 2
- Why do we need to use an anonymous function? HOT 2
- Renv not working in targets-minimal repo
- Renv not working in targets-minimal repo HOT 1
- `pak` HOT 3
- minor typo HOT 1
- 'Edit this page' link broken HOT 1
- Build the book using Nix on GA
- Before we start -- split into subsections / subheadings HOT 1
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