RStudio Learning Resources - the makers of RStudio offer a series of online multimedia materials (video, documents, code examples, etc) to help learn R, from beginner-level introduction to the language to more advanced applications of R.

Many are targeted at social scientists, but some are intended for broader audiences. The resources below offer tutorials and references for learning R programming and using in different computing and data science contexts. Office of Information Technology Senior Management.Scientific Computing Administrators Meeting.Operations Research and Financial Engineering.Center for Statistics & Machine Learning.Fall Break Parallel Programming Workshop 2021.Hardware and Software Requirements for PICSciE Workshops.Requirements for PICSciE In-Person and Virtual Workshops.Finally, Andreas concludes which ML platform he prefers, and bad news to R fans, it turns out to be Sci-kit learn, but that is only personal preference. He mentions caret as well, but this does not factor in, however I still love CARET and refer to the course I did on Advanced Modelling for how to get up and running with CARET quickly. Andreas then took us through the benefits of using Sci-kit learn compared with TidyModels and mlr.I also showed how you can run external scripts from R. The pipeline was to read data in R and do some basic cleaning, pass the data to Python to split and model with Sci-kit Learn, do some visualisations in Python and then pass back to R. This is actually really intuitive in R and the webinar recording in the next section will show the detail of this.

The first session involved me taking the functionality of the reticulate package and how you can easily pass R and Python commands to convert the data from the respective formats.

Wednesday (20th January 2021) myself and a colleagues Andreas kicked off the first webinar of 2021 for the NHS-R Community with our look at the benefits of using reticulate for joining up R and Python.

R studio webinar