You are now entering the PC Anatomy portal

R is a programming language and a software environment primarily designed for statistical computing and graphics. It is widely used in data analysis, statistical modeling, and data visualization.

Key characteristics of R:

Statistical Computing: R provides a comprehensive suite of tools for various statistical analyses, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, and clustering.

Graphics and Visualization: It excels at creating high-quality, publication-ready plots and charts for data visualization, with popular packages like ggplot2 enhancing its capabilities.

Open-Source and Free: R is freely available under the GNU General Public License, making it accessible to a wide range of users and organizations.

Extensible through Packages: The core R language is significantly extended by a vast ecosystem of user-contributed packages, which provide specialized functionalities for diverse tasks like data wrangling, machine learning, and specific statistical tests.

Cross-Platform Compatibility: R runs on various operating systems, including Windows, macOS, and Linux.

Object-Oriented: R is an object-oriented language where operations are performed around objects, which can be data structures (like vectors, data frames), functions, or other R entities.

Command-Line Interface: R traditionally uses a command-line interface, though integrated development environments (IDEs) like RStudio provide a more user-friendly graphical interface.