A half-day introduction to R
These are the course notes for a half-day introduction to R, given by the Monash Bioinformatics Platform as part of Monash University’s Data Fluency initiative.
R is both a programming language and an interactive environment for doing data science. Today we will be concentrating on R as an interactive environment. This will be just a small taste of R, after today there will still be much to learn about R as a programming language and as an environment for data science.
We will be using RStudio, a friendly front end to R. On the day, we will be using RStudio from the web, but you can also install R and RStudio on your laptop. Both R and RStudio are free.
File used in this workshop
Introductory slides
Further resources
Workshops run by the Monash Bioinformatics Platform:
- A full-day introduction to R, also covering topics such as missing data, factors, and merging data frames.
- A further workshop on R, covering programming, the modern Tidyverse approach, Bioconductor for biological data, Rmarkdown for writing up results, and Shiny for web-apps.
Other resources:
The R for Data Science book is a great introduction to modern R usage.
Software Carpentry and Data Carpentry offer workshops on using computers effectively for science, with all course notes free online. For example, this Data Carpentry workshop on R.
Authors
This course is developed by the Monash Bioinformatics Platform, with material by Paul Harrison and Nick Wong.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Some of this material is derived from work that is Copyright (c) Software Carpentry.
