Initial steps towards reproducible research

December 4, 2014
By

(This article was first published on The stupidest thing... » R, and kindly contributed to R-bloggers)

In anticipation of next week’s Reproducible Science Hackathon at NESCent, I was thinking about Christie Bahlai’s post on “Baby steps for the open-curious.”

Moving from Ye Olde Standard Computational Science Practice to a fully reproducible workflow seems a monumental task, but partially reproducible is better than not-at-all reproducible, and it’d be good to give people some advice on how to get started – to encourage them to get started.

So, I spent some time today writing another of my minimal tutorials, on initial steps towards reproducible research.

It’s a bit rough, and it could really use some examples, but it helped me to get my thoughts together for the Hackathon and hopefully will be useful to people (and something to build upon).

To leave a comment for the author, please follow the link and comment on their blog: The stupidest thing... » R.

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)