Learning objectives
- see a first overview of the R programming language
- see the overview of the course
For teachers
Teaching goals are:
- Learners have seen an overview of the course
- Learners have seen an first overview of the R programming language
Lesson plan (20 minutes in total):
- 2 min: discuss random people with videos, based on recommendation by [Bell, Mike. The fundamentals of teaching: A five-step model to put the research evidence into practice. Routledge, 2020]
- 5 mins: prior knowledge
- What is R?
- Why use R?
- What are features of R?
- Can R do everything?
- What are R packages?
- 5 mins: presentation: First overview of R
- 5 mins: presentation: Course schedule
- 3 mins: feedback
Course learning objectives
- use the module system to load R
- use the module system to load site-installed R packages
- find out which versions of R and packages are installed
- run R scripts
- write a batch script for running R
- install R packages from CRAN
- see how to install other R packages yourself
- start batch jobs
- run RStudio
on HPC2N or UPPMAX
Course non-goals
- improve R coding skills
- use R on other HPC clusters
R is a programming language for statistical computing and data visualization (from Wikipedia).
intro_r_overview_r.mmd
The main general R resources are:
R is used in many NAISS centres:
- here is an overview of 6 NAISS centres and their R documentation
- here is an (incomplete) overview of R courses being taught at NAISS
R Exercise files
- On HPC2N, you can copy the R exercise tarball from /proj/nobackup/hpc2n2024-025/exercises-r.tar.gz
- On UPPMAX, you can copy the R exercise tarball from /proj/naiss2024-22-107/exercises-r.tar.gz
intro_r_overview_course_login_and_scheduler.mmd
intro_r_overview_course_r_and_modules.mmd
| Time | Topic | Activity |
|---|---|---|
| 9:00 | Syllabus | 10m |
| 9:10 | Introduction, R in general | Lecture 10 m |
| 9:20 | Loading modules and running R codes | Lecture+code along 25m |
| 9:45 | Coffee break | |
| 10:00 | Packages | Lecture+code along 30m |
| 10.30 | Isolated environments | Lecture+code along 20m |
| 10:50 | break | |
| 11:00 | SLURM Batch scripts for R jobs | Lecture+code along + exercise 30m |
| 11:30 | Parallel and multithreaded functions | Lecture+code along 35m |
| 12:00 | LUNCH | |
| 13.00 | Exercises and informal chat (or break) | |
| 13.15 | ML | Lecture+code along 35m |
| 13:50 | break | |
| 14.00 | Parallel session - HPC2N: ThinLinc & RStudio | Lecture+code along 25m |
| Parallel session - UPPMAX: Interactive/ThinLinc & RStudio | Lecture+code along 25m | |
| 14.25 | Summary | |
| 14.35 | Evaluation | |
| 14.45 | Q&A on-demand | |
| 15:00 | END |