In this course, you will :
- Provides a quick and easy introduction to the many flavours of the R programming language, such as base R, tidyverse R, R Open from Microsoft, and Bioconductor R.
- Also includes a look at programming with R interactively and from the command line, as well as some useful packages for working with SQL, 3D graphics, data, and clusters in R.
- You will have installed a version of R, as well as a few core libraries and an optimised IDE, by the end of this short course.
1. Set Up Base R
- Why is base R unique?
- Check to see if R is installed
- How to install base R
- Development environments for base R
- A comparison task in base R
- An optimal task for base R
2. Set Up tidyverse R
- Why is the tidyverse unique?
- How to install the tidyverse
- A comparison task using the tidyverse
- An optimal task for the tidyverse
3. Set Up Microsoft R Open
- Why is Microsoft R Open unique?
- How to install Microsoft R Open
- Development environments for Microsoft R Open
- A comparison task using Microsoft R Open
- An optimal task for Microsoft R Open
4. Set Up Bioconductor R
- Why is Bioconductor R unique?
- How to install Bioconductor R
- Development environments for Bioconductor R
- A comparison task using Bioconductor R
- An optimal task for Bioconductor R
5. First Look at R Programming
- Use R interactively
- Use R with command-line arguments
6. Most Common R Packages