This repository contains a collection of R scripts developed for class projects and personal learning. It serves as a comprehensive resource for managing and organizing R code related to data analysis, statistical modeling, and visualization tasks.
This repository serves multiple purposes:
- To track the development of R programming skills and document progress over time.
- To organize and version control R scripts, ensuring no loss of work.
- To facilitate collaboration and sharing of reusable code with peers or colleagues.
- To provide a centralized resource for learning and experimenting with R's capabilities in data analysis, visualization, and statistical modeling.
For R:
- Operating System: Windows, macOS, or Linux.
- For macOS (as per the output): Requires macOS Big Sur (version 11.0) or later for aarch64 architecture.
- At least 1 GB of RAM and 1 GB of available disk space.
- Internet access for downloading packages and updates.
For RStudio:
- Compatible with the version of R installed.
- Minimum hardware requirements:
- 1 GB of RAM.
- 250 MB of available disk space.
Installing R:
- Visit the CRAN website.
- Choose your operating system and download the latest version (R version 4.4.1 or newer).
- Follow the installation instructions specific to your OS.
Installing RStudio:
- Go to the RStudio website.
- Download the appropriate version for your operating system.
- Install it by following the provided instructions.
R License:
R is licensed under the GNU General Public License (GPL), version 2 or later. For details, type license() in an R session or visit R Project License.
RStudio License: RStudio Desktop (Open Source Edition) is available under the AGPLv3 License. More details can be found on the RStudio Licensing page.
Author: José Eduardo Cordoba Arango
E-mail: - -