Did you know that you can completely replace the “knitting” engine in R Markdown documents? Well, you can!<\/p>\n
Why would you want to do this? Well, in the case of this post, to commit the unpardonable sin of creating a clunky jupyter notebook from a pristine Rmd file.<\/p>\n
I’m definitely not “a fan” of “notebook-style” interactive data science workflows (apologies to RStudio, but I don’t even like their take on the interactive notebook). However, if you work with folks who are more productive in jupyter-style environments, it can be handy to be able to move back and forth between the The We can exploit the fact that you can specify a To that end, I modified my (github only for now) You can take this test Rmd<\/a>:<\/p>\n and, after doing ipynb<\/code> and Rmd<\/code> formats.<\/p>\nnotedown<\/code><\/a> module and command-line tool does just that. I came across that after seeing this notedown<\/code> example<\/a>. There’s a script there to do the conversion but it’s very Windows-specific and it’s a pretty manual endeavour if all you want to do is quickly generate both an ipynb<\/code> file and a notebook preview html<\/code> file from an Rmd you’re working on.<\/p>\nknit:<\/code> parameter in the Rmd YAML header. Said parameter can be inline code or be a reference to a function in a package. When you use the “Knit” command from RStudio (button or key-cmd-shortcut) this parameter will cause the Rmd file to be passed to that function and bypass all pandoc<\/code> processing. Your function has to do all the heavy lifting.<\/p>\nmarkdowntemplates<\/code><\/a> package and added a to_jupyter()<\/code> function. Provided you have jupyter setup correctly (despite what the python folk say said task is not always as easy as they’d like you to believe) and notedown<\/code> installed properly, adding knit: markdowntemplates::to_jupyter<\/code> to the YAML header of (in theory) any Rmd document and knitting it via RStudio will result in<\/p>\n\n
ipynb<\/code> file being generated<\/li>\nhtml<\/code> file generated via nbconvert<\/code>ing the notebook file, and <\/li>\n---\r\nknit: markdowntemplates::to_jupyter\r\n---\r\n## Notedown Test\r\n\r\nLet's try a python block\r\n\r\n```{r engine="python"}\r\ndef test(x):\r\n return x * x\r\ntest(2)\r\n```\r\n\r\nAnd a ggplot test\r\n\r\n```{r}\r\nsuppressPackageStartupMessages(library(ggplot2))\r\n```\r\n\r\nWe'll use an old friend\r\n\r\n```{r}\r\nhead(mtcars)\r\n```\r\n\r\nand plot it:\r\n\r\n```{r}\r\nggplot(mtcars, aes(wt, mpg)) + geom_point() + ggthemes::theme_fivethirtyeight()\r\n```<\/code><\/pre>\ndevtools::install_github(\"hrbrmstr\/markdowntemplates\")<\/code> and ensuring you have notedown<\/code> working, knit it in RStudio to generate the ipynb<\/code> file<\/a> and render an HTML file:<\/p>\n