![]() ![]() I think _output.yml is supposed to be ‘shuffled’ by Rstudio so that index 1 is always the currently rendering output, but that wasn’t occurring when I tested it every time I would just get back the first format listed in _output.yml, even if it wasn’t the one currently being rendered.So if _output.yml had bookdown::pdf_document and then bookdown::word_document in it, all I would get back is bookdown::pdf_document even when rendering to docx. 2Īccording to this Stackoverflow thread, you can determine the currently rendering format with rmarkdown::all_output_formats(knitr::current_input()). You’d think there’d be a way to declare is(pdf) or is(docx) and execute appropriately, right? Unfortunately not. But, weirdly, I didn’t actually find an easy way to change code execution within your document text itself based on the format currently being rendered by Bookdown. You can set Bookdown to export to multiple formats, and set options for each export format, using an _output.yml file. I can tweak the final PDF output to be perfect, but the docx format has to be just good enough to get the point across to whoever I’m seeking feedback from. The most obvious solution to me seemed to simply change what my code was doing depending on the format I was exporting to. And a lot of the things you can build when producing a PDF just flat out don’t work in Word. It can do this, but it does not have nearly as many options for customising the output. Unfortunately, due to needing to interact with lecturers and non-R-code-users for feedback on my work, I also need it to work with the Word docx file format. This is great, as I always submit my final work in PDF. It seems to work best when producing HTML or PDF output, for which it has a whole bunch of great customisation options. ![]() Going forward, I resolved to find a better way to incorporate my analysis code and writing to avoid this problem.īookdown is a fantastic R package that compiles Rmarkdown source documents into one big output, with code evaluated and, crucially, the ability to add cross-references to tables/plots etc. 1 This became a pain any time I needed to copy-paste an update into a table or, even worse, change a plot and re-export to an image and re-import it into my writing environment. I first got to grips with the R coding language to do the statistical analysis for my dissertation, but I still did all my actual writing in more traditional word processing apps. ![]() I thought YAML stood for YAML Ain’t Markup Language. The true programmer holy war has yet to begin If you mean the YAML file it's the underlying language that makes the dashboard look like it does. Jumped on the dashboard bandwagon minus the grafana, all homeassistant dash with access to arrs and other servers. Pipelines is flexible in that it works with many languages and project types. The ability to integrate code being worked on among many developers, and deploy releases through automation is a cornerstone of ensuring a quality product. The Pipelines service helps teams to set up and manage CI/CD for their projects.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |