A repository of code examples (with explanation) on real world data files from computational biology using the data.table and ggplot2 R packages. I think data.table is perfect for computational biology tasks of all sizes. I also think ggplot2 is awesome for building intuitive visualisations of your data. Here I provide working code examples of how I do useful tasks with computational biology data using data.table and ggplot2. This is in no way intended to be 'best-practice' or 'expert' code, these are example solutions to common tasks for people new to R and data.table. I have deliberately simplified some examples to aid clarity.
This GitHub repository is an Rstudio project, download it all as a zip or clone it using 'git' on the command line.
- Start with
introduction.R - Have a look at the different tasks, each one is a separate R code file.
- Have a go at completing the code for the student tasks (1-4).
- Maybe also look at the basics of data.table file, for more detail on the "how" and "why" and the "special" variables of data.table.
- Write your own code for the 'contributed' section and submit a pull request.
- We are recording YouTube video companions for each task, video link is available in the R source code for each task - these videos are currently unlisted.
- Videos are being migrated to new YouTube Channel
- First release of the student tasks 1-3 written.
- First release of the introduction and basics code are written.
- First release of tasks 1-5 are written.
- All other tasks are just placeholders.