https://github.com/sib-swiss/first-steps-with-r-training
repository of the 2-day course "First steps with R in Life Sciences" from SIB-training
https://github.com/sib-swiss/first-steps-with-r-training
programming r training training-materials
Last synced: 2 months ago
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repository of the 2-day course "First steps with R in Life Sciences" from SIB-training
- Host: GitHub
- URL: https://github.com/sib-swiss/first-steps-with-r-training
- Owner: sib-swiss
- License: cc-by-4.0
- Created: 2022-01-24T14:27:10.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2025-02-05T07:20:17.000Z (4 months ago)
- Last Synced: 2025-03-28T07:41:38.700Z (3 months ago)
- Topics: programming, r, training, training-materials
- Language: R
- Homepage:
- Size: 125 MB
- Stars: 46
- Watchers: 7
- Forks: 12
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
README
[](https://doi.org/10.5281/zenodo.14808144)
# First steps with R in Life Sciences
This course material is part of the "First Steps with R in Life Science" two-day course of [SIB Training](https://www.sib.swiss/training/upcoming-training-courses) and is
addressed to beginners wanting to become familiar with the R syntax, environment, and the most common commands to start using R to explore and interpret their data.
This course material provides an introduction to [R](https://www.r-project.org/) and [Rstudio](https://www.rstudio.com/) (an integrated development environment for R) in an interactive manner.
It contains example data-sets to practise data manipulation, graphical exploration and statistical hypothesis testing.
## prerequisite installation
To follow this course, make sure you have [R](https://www.r-project.org/) and [Rstudio](https://www.rstudio.com/) installed beforehand.
## course material organization
The course material is organized in parts corresponding to the 2 days of the course.
The slides provided contain both theory and hands-on practice session instructions.
The data used in the practicals can be found in the data [`course_datasets/`](course_datasets/) folder, and
solutions codes can be found in the [`solutions/`](solutions/) folder (NB: practise session 1 and 2 do not have associated code).
* [Day 1 slides](slides/First-steps-with-R_day1.pdf) covers the most basic aspects
* first contact with the language and software
* most common data types in R
* reading and writing data files with R
* [Day 2 - morning slides](slides/First-steps-with-R_day2_morning.pdf) discusses visualization in R and how to create and customize simple, yet efficient, graphics from your data
* [Day 2 - afternoon slides](slides/First-steps-with-R_day2_afternoon.pdf) introduces how to perform statistical analysis in R (be warned: this is not a statistics course and only aims to show how the language deals with it)
## Citation
If you enjoyed this course or found it beneficial and want to refer to it, please cite it as :
Duchemin, W. & Burdet, F. (2025, February 5). First steps with R in Life Sciences - SIB course material. Zenodo. [https://doi.org/10.5281/zenodo.14808144](https://doi.org/10.5281/zenodo.14808144)