Improving automatic document production with R

May 19, 2017

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

In this post, I describe the latest iteration of my automatic document production with R. It improves upon the methods used in Rtraining, and previous work on this topic can read by going to the auto deploying R documentation tag.
I keep banging on about this area because reproducible research / analytical document pipelines is an area I’ve a keen interest in. I see it as a core part of DataOps as it’s vital for helping us ensure our models and analysis are correct in data science and boosting our productivity.

To leave a comment for the author, please follow the link and comment on their blog: R on Locke Data Blog. 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


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)