A modular Rmarkdown workbook in action I’m now using a…

March 4, 2015
By

(This article was first published on biochemistries, and kindly contributed to R-bloggers)

A modular Rmarkdown workbook in action

I’m now using a properly modular Rmarkdown workbook, and really quite chuffed with it! I’ve seen discussion of electronic lab notebooks for bioinformatics with only mention of org-mode for emacs users, IPython (now the Jupyter project) and the likes of Evernote/Word etc., so I’m sharing the basic workings of mine.

Here’s its custom knit function, of the kind I wrote about the other day:

The workflow :

  • When the knit button is clicked (or Ctrl+Shift+K), the document renders itself to markdown, and the notes specified as ‘children’ (in the chunk at the bottom of the top picture) are stuck onto the end. These individual notes are written from Rmarkdown themselves with YAML headers:

    This header just specifies to knit quietly (i.e. not preview the resulting markdown) and pass on an instruction to pandoc to use Atx-style headers (the ones with # symbols, needed for proper table of contents numbering down the line). The R code that follows it prints the title as this sort of [second-level] header.

  • …during that knitting process the big code chunk in the top picture writes a new header configuration file Workbook-header.yaml (essential for a proper table of contents)

  • sink allows this header to be concatenated with the compiled workbook, Workbook-compiled-tmp.Rmd
  • Lastly the HTML workbook is written and previewed, and the temporary (header-less) compilation file is removed with unlink. I chose to keep the full compiled Workbook-compiled.Rmd file for the time being.
  • Custom CSS styling for the Table of Contents is below and here, along with all the other code snippets in this post.

    I’ll add any further changes to my development notes Wiki. Thanks to Vincent Nijs for the child code chunk tip as an issue in the repo there 🙂 More comments/suggestions through that route welcome

To leave a comment for the author, please follow the link and comment on their blog: biochemistries.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)