The goal of namer is to name the chunks of R Markdown files. It’s your safety net when you’ve (willingly) forgotten to name most chunks of all R Markdown files in a folder. namer does not give meaningful labels to your chunks, but it gives them labels that won’t change depending on their position like the automatic knitr:::unnamed_chunk function does when knitting. So you can e.g. shuffle your chunks and not loose their cache, or more easily debug over a whole folder!
For context about why you should name your R Markdown chunks, read this blog post.
Check out this real life example, result of running namer::name_dir_chunks("pres").
This is a basic example which shows you how to solve a common problem. The “test” folder first contains R Markdown files with unnamed chunks. After running name_dir_chunks, they’re all named, with names using the filenames as basis.
temp_dir <- tempdir()
fs::dir_copy(system.file("examples", package = "namer"),
temp_dir)
# this is an example file that'd fail
fs::file_delete(file.path(temp_dir, "example4.Rmd"))
name_dir_chunks(temp_dir)
if(interactive()){
file.edit(file.path(temp_dir, "example1.Rmd"))
}
fs::dir_delete(temp_dir)There’s also name_chunks for use on a single R Markdown file; and unname_all_chunks to unname all chunks of a single R Markdown file which can be useful when cleaning your chunk labels.
When using namer, please check the edits before pushing them to your code base. Such automatic chunk labelling is best paired with version control.