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: 24 days ago
JSON representation

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 (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2024-02-13T08:11:16.000Z (10 months ago)
• Last Synced: 2024-04-13T09:12:56.730Z (8 months ago)
• Topics: programming, r, training, training-materials
• Language: R
• Homepage:
• Size: 123 MB
• Stars: 37
• Watchers: 8
• Forks: 8
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

Awesome Lists containing this project

README

        

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6091478.svg)](https://doi.org/10.5281/zenodo.6091478)

# 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., Di Cola, V., Mehl, F., Marzetta, F., Marek, D., & Tran, T. V. D. (2024, February 15). First steps with R in Life Sciences - course material. Zenodo. https://doi.org/10.5281/zenodo.6091478