Check out the live project at:
R Journey is an open-source educational project designed to provide a comprehensive introduction to the R programming language. It covers a wide range of topics, including R basics, data visualization, statistics, and machine learning, all with real-world case studies. This project is inspired by the R Series by Professor Rafael Irizarry and his books.
R Journey is a beginner-friendly resource that aims to simplify the learning process for those new to R programming. It follows a structured approach, starting with the fundamentals of R and gradually advancing to more complex topics such as data visualization, statistics, and machine learning.
The project is structured as a Quarto presentation, with the index.qmd file serving as the main entry point. Additionally, each major section has its own dedicated directory (part_1, part_2, etc.) containing separate presentation files.
The R Journey project covers the following topics:
- R Basics: Introduction to R, data types, data structures, control structures, and functions.
- Data Visualization: Exploring various data visualization techniques using R libraries like ggplot2.
- Statistics: Descriptive and inferential statistics, hypothesis testing, and statistical modeling.
- Machine Learning with R: Introduction to machine learning concepts, supervised and unsupervised learning techniques, and their practical applications.
Throughout the course, real-world case studies are incorporated to reinforce the concepts and provide practical experience.
To access the R Journey project, you can clone the GitHub repository:
git clone https://github.com/ssm123ssm/R-journey.git
Alternatively, you can download the repository as a ZIP file and extract it to your local machine.
Once you have cloned the repository, you can navigate to the project directory and open the index.qmd file in a compatible Quarto editor or viewer. This file serves as the entry point and provides an overview of the entire course.
Each section (part_1, part_2, etc.) contains individual presentation files that cover specific topics in more detail. You can open these files sequentially or jump to the desired section based on your learning needs.
Contributions to the R Journey project are welcome! If you would like to contribute, please follow these steps:
- Fork the repository.
- Create a new branch for your contributions:
git checkout -b my-contribution. - Make your changes and commit them:
git commit -m 'Add my contribution'. - Push your changes to your forked repository:
git push origin my-contribution. - Open a pull request in the main repository, describing your changes in detail.
This project is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
I would like to express my sincere gratitude to Professor Rafael Irizarry for his invaluable contributions to the R community and for inspiring this project through his R Series and books.