This repository contains R programs and scripts under the GPL v3 license.

• Getting Started
  • What is R
  • Installing R-Lang
    • Windows
    • macOS
    • Linux
  • Installing Repository
• Usage
  • Running Scripts
  • Running Programs
• Contributing
• License

R (R-Lang) is a programming language and environment for statistical computing and graphics. It provides a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and more.

R is free and open-source software and is widely used by statisticians, data scientists, and researchers in various fields, including academia, industry, and government. It is highly extensible and has a large ecosystem of packages and libraries that provide additional functionality and tools for various tasks.

Here are the steps to install R-lang on different operating systems:

1. Go to the R for Windows page on CRAN (Comprehensive R Archive Network).
2. Click on the "Download R x.x.x for Windows" link (where x.x.x represents the version number).
3. Click on the "install R for the first time" link.
4. Run the downloaded .exe file and follow the installation wizard.

1. Go to the R for macOS page on CRAN.
2. Click on the "Download R-x.x.x.pkg" link (where x.x.x represents the version number).
3. Run the downloaded .pkg file and follow the installation wizard.

For Ubuntu and Debian-based systems:

1. Open a terminal window.
2. Enter the following command to add the CRAN repository to your sources list:

sudo sh -c 'echo "deb https://cran.rstudio.com/bin/linux/ubuntu $(lsb_release -cs)-cran40/" >> /etc/apt/sources.list'

3. Add the CRAN GPG key:

sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9

4. Update your package lists and install R:

sudo apt-get update
sudo apt-get install r-base

For other Linux distributions, refer to the documentation on the R for Linux page.

1. Clone the repository

git clone https://github.com/Eggy115/R.git

2. Install required packages by running the following command in R console:

install.packages(c("package name"))

1. Open R console or RStudio
2. Navigate to the directory containing the script
3. Run the script using the source command:

source("script_name.R")

1. Open R console or RStudio
2. Navigate to the directory containing the program
3. Run the program using the Rscript command:

Rscript program_name.R

Contributions are always welcome! Here are some ways you can contribute:

1. Fork the repository and make your changes.
2. Submit a pull request with your changes.
3. Create an issue if you find a bug or have a feature request.

Please make sure to adhere to the code of conduct and the contributing guidelines.

This project is licensed under the GPL v3 License - see the LICENSE file for details.