[This article was first published on The stupidest thing... » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
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 about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.