The R-Podcast is back up and running! In this episode I discuss some useful resources and helpful tips/extensions that have greatly enhanced my work flow in creating reproducible analysis documents via R-Markdown. I also highlight some exciting new endeavors in the R community as well as provide my take on two key events that further illustrate the rapidly growing use of R across many industries. A big thank you to all who expressed their support during the extended hiatus, and please don’t hesitate to provide your feedback and suggestions for future episodes. I hope you enjoy this episode!
It’s an episode of firsts on the R-Podcast! In this episode recorded on location I had the honor and privilege of interviewing Yihui Xie, author of many innovative packages such as knitr and animation. Some of the topics we discussed include: Yihui’s motivation for creating knitr and some key new features, how markdown plays a key role in making reproducible research more accessible, and an innovative approach for publishing and maintaining reproducible statistical results online, and much more on this ‘lucky’ episode 13 of the R-Podcast!
This is not an April Fool’s joke … The R-Podcast is back once again! In this episode, I discuss the concept of version control and how you can get started with using the Git VCS right now with your R projects. Also I discuss a big batch of listener feedback, and highlight a couple of great visualization applications from the community using ggplot2. All of that and more on episode 12 of the R-Podcast!
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!
I’m happy to present episode 10 of the R-Podcast! Season 1 of the R-Podcast concludes with part 2 of my series on data munging, in which I discuss issues surrounding importing data sets contained in HTML tables. I share how I used the XML and RCurl packages to validate and import data from hockey-reference.com for storage into a MySQL database. Our listener feedback segment contains another installment on the Pitfalls of R contributed by listener Frans. I want to thank everyone who has provided such positive feedback throughout the season, and I’m looking forward to providing some exciting new content for season 2. I hope you enjoy the episode and check out our new contact page if you would like to provide any feedback. Thanks for listening!