1-day workshop for experienced users
Saturday, 9th February
R is a programming language and free software environment for data analysis and exploration. User instruction in R is often limited to course specific content, that focuses primarily on the statistical implementation of R. However R functionality extends far beyond this and across research disciplines. When combined with the RStudio GUI, R can be utilised as a powerful tool encompassing data cleaning, exploration, visualisation and documentation operations.
The dual aim of this 1-day workshop is to (A) demonstrate a reproducible data analysis workflow through an example RStudio project and (B) highlight how the reorganisation of popular R packages, under the umbrella banner of the “tidyverse”, has made working R code more accessible and intuitive.
Morning session: Reproducible research through RStudio
10.30 am: Setup, introductions, housekeeping
10.45 am: Lecture – Project orientated workflows
11.15 am: Coffee break – Discussion
11.30 am: 2 × 30 minute tutorials
- Joined up thinking when writing R code
- R-projects as means to organise your research
12.30 pm: Lecture – Introduction to the tidyverse
1.15 pm: Lunch break
Afternoon session: A crash course in the tidyverse
1.45 pm: 3 × 45 minute hands-on tidyverse tutorials including:
- Example scripts and problem sheets exploring R packages tidyr, dplyr, ggplot2 etc.
- Opportunity to work on your own data
- Opportunity to work in groups
4 pm: Closing remarks, questions
- Your own laptop
- R and RStudio pre-installed and running
- The tidyverse R package loaded and running
- Familiarity with R and RStudio
- Experience writing and running R code
To register your interest, email firstname.lastname@example.org. Please ensure “[R Workshop]” appears in the subject line. Places at the workshop will be confirmed via return email.