![]() Therefore, all chunks of “my-fantastic-report.Rmd” get named “my-fantastic-report-1”, “my-fantastic-report-2”. Luckily, thanks to a brilliant idea of Steph’s, namer is now here to save your (vegan) bacon! This nifty package will name your chunks for you when you’ve (willingly or unwillingly) forgotten to do so! For any R Markdown document, namer creates and saves chunk labels based on the filename stripped from its extension. ![]() That’s what we say when teaching R Markdown, and what’s promoted in this blog post of mine featuring puppy photographs! But, sadly, we don’t always follow best practice, do we? What does namer do? One good piece of advice would be to always name your chunks. Or, since caches are named after chunks, if you delete one chunk in a document full of unnamed chunks, all your caches become useless. How do you find the culprit?! That name you get in the error message is not written in any file! Sad chibi Stef being told by R that there is an error in unnamed-chunk-12 But even when not informative, chunk labels are very important! Imagine you’re compiling a whole book, and oops, a bug appears in… unnamed-chunk-566. Informative names can help when navigating your files and will be used as informative filenames for figures generated in chunks. When writing R Markdown documents, be it a single report or a whole book based on dozens of documents, it’s crucial to name your R Markdown chunks. More details in this post! Why name your R Markdown chunks? ![]() We’ve just released a sweet package to save you stress from the hassle of unnamed chunks in R Markdown! namer will name all your chunks, so you can quickly debug in future. Need R Markdown in production? Publish and schedule reports, enable self-service customization, and distribute beautiful emails using RStudio Connect.Namer, Automatic Labelling of R Markdown Chunks.Check out the Dynamic documents with rmarkdown cheatsheet for quick reference on chunk options and more.For more on R Markdown in data science, read R for Data Science and the R Markdown Cookbook.Stay tuned for the third post in this four-part series: Time-savers & trouble-shooters. Thank you to everybody who shared advice, workflows, and features! We hope that these tips & tricks help you clean up your code in R Markdown. This ensures that every time you knit, any code that is shown in the rendered document will be properly formatted. This makes sure you’re ready for the rest of your workflow. Set yourself up for success! At the top of your document, create a code chunk that lists all the packages that you will use. This is the second of a four-part series to help you on your path to R Markdown success, where we discuss cleaning up your code using R Markdown features. There was a flurry of insightful responses ranging from organizing files to working with YAML, and we wanted to highlight some of the responses so that you can apply them to your work, as well. We asked our Twitter friends the tips and tricks that they have picked up along their R Markdown journey. Authors use R Markdown for reports, slide shows, blogs, books - even Shiny apps! But, how can users ensure that their R Markdown documents are easy to write, read, and maintain? ![]() The R Markdown file format combines R programming and the markdown language to create dynamic, reproducible documents.
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