This repository contains my work based on the "First Steps with R in Life Sciences" two-day course from SIB Training. The course is designed for beginners to learn the basics of R, including its syntax, environment, and common commands for data exploration and analysis.
This material introduces R and RStudio (a development environment for R) in an interactive way. It includes example datasets for practicing:
- Data manipulation
- Graphical exploration
- Statistical hypothesis testing
Before diving into the material, ensure you have:
- R installed (available here : https://cran.r-project.org/)
- RStudio installed (available here : https://www.rstudio.com/products/rstudio/download/)
The course content is divided into two main parts, corresponding to the two days of training:
Day 1: Basics of R Getting started with R and RStudio Understanding common data types in R Reading and writing data files Day 2: Visualization and Statistical Analysis Creating and customizing data visualizations Performing basic statistical analysis in R (Note: This is not a statistics course, but an introduction to R's statistical tools.)
- Slides: A mix of theory and hands-on instructions.
- Data: Example datasets for practice, located in the datasets/ folder. Solutions: Code solutions for practical exercises in the solutions/ folder.
I am reproducing and applying the concepts from the course, documenting my learning journey here. Feel free to explore the materials and examples, and use them as a resource for your own learning. Any insights or improvements are welcome!
Note : I have not reproduced all the course material. If you want to access the full training content, you can find it here : https://github.com/sib-swiss/first-steps-with-R-training