R Essentials Packages for Data Science and Statistics

A curated list of R packages organized by domain and application to help data scientists and statisticians discover and use essential tools.

Description

This repository contains a list of R packages that are useful for various domains and applications within data science and statistics. The packages are organized into categories such as network analysis, natural language processing, machine learning, and more. The purpose of this repository is to make it easier for users to find relevant packages for their projects and to foster collaboration and knowledge sharing within the R community.

Getting Started

Dependencies

• R (version 4.0.0 or later)
• An internet connection for downloading and installing packages

Installing

1. Clone this repository to your local machine:

git clone https://github.com/zurlog/R-Essentials.git

2. Open the R script files in your favorite R editor or IDE (such as RStudio).

Executing program

1. To install the packages listed in a particular R script file, open the file in your R editor or IDE.
2. Run the install.packages() command(s) to install the listed packages and their dependencies:

install.packages(c("tm", "quanteda", "tidytext", "wordcloud", ...), dependencies = TRUE)

Help

For help with specific R packages, consult the package's documentation or visit the package's official website or GitHub repository.

Authors

Contributor name and contact info

Giovanni Zurlo
@zurlog

Version History

• 0.1
• Initial Release

License

This project is licensed under the GPL-3.0 License - see the LICENSE.md file for details