Anyone else use R for data analysis?
Many of my notes deal with R code, statistical methods, and the subjects that I’m analyzing (environmental science). Theory, application, tips, and examples are interlinked, so Zettelkasten seems like a good approach for thinking through it. R also support a similar flavor of Markdown, complete with LaTeX math and folding, so Obsidian seems like a good fit for maintaining my knowledge base!
Going from Obsidian to R Studio, the only issues I’ve run into are
- There needs be a blank line before headers, block quotes, bullet points, and lists, or they won’t render
- Embedded images are supported
, but you need to copy the images to the R project folder, and may need to edit the relative path if you’ve put them in a subfolder 
- Double bracket links and hashtags can’t be used for navigation, but don’t break anything. Just need to do a search and replace to clean them up.
- Transclusion won’t work
- Footnotes are not supported
Going from R Studio to Obsidian
- embedded images need to be copied to the attachments folder, and relative path corrected
- Code blocks are a little harder to read without syntax highlighting
- yaml header displays as a level 1 heading
For writing a report or academic paper, a possible workflow is to assemble an outline in Obsidian with relevant background info, citations, and some generic code snippets I think might come in handy. The results section would get fleshed out in R Studio, as I work with the data.
