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
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