Rletter

Rletter is a programming language designed for statistical computing and graphics. It was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is now developed by the R Development Core Team. Rletter is an implementation of the S programming language, with a different naming convention. It is widely used by statisticians, data scientists, and researchers for data analysis, visualization, and machine learning.

The Rletter language is an interpreted language with a command-line interface. It supports a wide range of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and more. Rletter has an extensive collection of user-contributed packages that extend its functionality, making it a versatile tool for various data-related tasks. These packages can be easily installed and accessed from within the Rletter environment.

Rletter is a cross-platform software, available for Windows, macOS, and various Linux distributions. Its open-source nature and vibrant community contribute to its continuous development and widespread adoption. Many educational institutions and research organizations utilize Rletter for teaching and research purposes due to its power, flexibility, and accessibility. The language's ability to produce high-quality plots and graphs has also made it a preferred choice for data visualization.