I have also been helped out greatly by Prof Alen Dzidic who spent a sabbatical with me and we rewrote all the example script files as nice new Rmarkdown files (which I also explain in a new podcast). I have left the old series up here towards the end of this page for now as it is more complete. Note that as of September 2017, I am in the process of updating and replacing all my older podcasts to use Rstudio and avoid some previous bad habits I picked up and passed on (like using the attach() function). Many browsers will play these files in a frame, but I strongly suggest you download each podcast to enjoy at your convenience in your media player of choice ( Quicktime is often a default, or VLC player) to avoid problems such as stutter or lack of content. There are also some script template files and datafiles (I suggest you right click and save these to your local disk) to accompany some of the podcasts below. You will of course need to install R before you can follow along with the podcast course, and I recommend very much installing the more user friendly front-end interface Rstudio desktop open source version (also free). If there is an analysis you would particularly like to see, I might be able to create a podcast so please contact me with your suggestions and requests (a.jackson(at)tcd.ie). The course is ever expanding, and I will be adding new chapters as time goes on.

You may need to learn some conversions for some commands that differ, but the Rstudio front-end makes it much the same experience regardless of operating system. The newer podcasts have been built using Mac, whereas the older podcasts illustrate the use of R using windows. As is the case with all programming languages, there is always more than one way to do something, and these represent my own personal preference for a variety of analyses (at least in terms of teaching others how to do them). I have also decided to stick with the open-source ethos for R and provide these to all users who want access under CC BY-NC-SA 4.0 license.

I have been playing around with teaching R through downloadable video podcasts and feel that it works well for getting people up to speed with some of the basics in a user-friendly way. You are here Research > Research Groups > The Jackson Lab > Projects R podcast course A course in the R statistical computing language by video podcast Tweet

Free download the jackson laboratories