Processing Rmarkdown documents with Eclipse and StatET

October 2, 2017
By

(This article was first published on R-project – lukemiller.org, and kindly contributed to R-bloggers)

Processing R markdown (Rmd) documents with Eclipse/StatET external tools requires a different setup than processing ‘regular’ knitr documents (Rnw). I was having problems getting the whole rmarkdown -> pandoc workflow working on Eclipse, but the following fix seems to have resolved it, and I can generate Word or HTML documents from a single .Rmd file with a YAML header (see image below).

A .Rmd document with YAML header set to produce a Microsoft Word .docx output file.

For starters, I open the Run > External Tools > External Tools Configurations window. The Rmarkdown document is considered a type of Wikitext, so create a new Wikitext + R Document Processing entry. To do that, hit the little blank-page-with-a-plus icon found in the upper left corner of the window, above where it says “type filter text”.

Using the Auto (YAML) single-step preset.

Enter a name for this configuration in the Name field (where it says knitr_RMD_yaml in my image above). I then used the Load Preset/Example menu in the upper right to choose the “Auto (YAML) using RMarkdown, single-step” option. This processes your .Rmd document directly using the rmarkdown::render() function, skipping over a separate knitr::knit() step, but the output should look the same.

Next go to the “2) Produce Output” tab (you are skipping over the “1) R-Weave” tab because you chose the 1-step process). By default the entry in the File field here was causing errors for me. The change is pictured below, so that the File entry reads "${file_name_base:${source_file_path}}.${out_file_ext}". This change allowed my setup to actually find the .Rmd and output .md files successfully, so that the .md document could then be passed on to pandoc.

Modify the File entry from the default so that instead reads the same as what’s pictured here.

This all assumes that you’ve previously downloaded and installed pandoc so that it can be found on the Windows system $PATH.

To leave a comment for the author, please follow the link and comment on their blog: R-project – lukemiller.org.

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)