The R-Podcast Episode 11: Reproducible Analysis Part 1 (Introduction)

[This article was first published on The R-Podcast, 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.

Season 2 of the R-Podcast is up and running! This episode begins a multi-part series on reproducible analysis using R. In this episode I discuss the usage of Sweave and LaTeX for producing reproducible reports, an introduction to the capabilities of the knitr package (more episodes will be coming dedicated to this package), and my motivation for adapting reproducible analysis techniques and tools into my workflow. In our listener feedback segment I discuss a new means of providing feedback to the R-Podcast using our new sub-reddit page and introduce new segments highlighting interesting stories around the R community and useful packages. This promises to be an exciting season of the R-Podcast, and I hope you enjoy this episode!

The following resources are mentioned in this episode:

Episode 11 Time Stamps

00:00 The R-Podcast #011 Reproducible Analysis Part 1
00:40 Introduction
02:43 Reproducible Research: Introduction
08:18 Sweave overview
16:20 Knitr overview
20:20 The Duke University Research Saga
30:56 What version control can offer
38:34 Presenting results
42:18 Listener feedback
60:55 R community roundup
69:39 Package pick: plyr
72:04 Wrapping up: subscribe at, [email protected], + 1-269-849-9780, Twitter @theRcast, Google Plus,
77:21 End

To leave a comment for the author, please follow the link and comment on their blog: The R-Podcast. 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.

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)