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Tinn-R Tinn-R Team
Use this command to install Tinn-R:
winget install --id=Tinn-R.Tinn-R -e The Tinn-R is an editor/word processor ASCII/UNICODE generic for the Windows operating system, very well integrated into the R, with characteristics of Graphical User Interface (GUI) and Integrated Development Environment (IDE). It is a project registered under the General Public License GPL, that is, an open source software. Tinn-R is an academical initiative, initiated and managed by D.Sc. José Cláudio Faria from the Laboratory of Computational Statistics (LEC) belonging to the State University of Santa Cruz (UESC).
Tinn-R is an editor/word processor designed to provide a seamless environment for working with the R statistical language on Windows operating systems. This tool combines features of a graphical user interface (GUI) and integrated development environment (IDE), making it highly suitable for users engaged in data analysis, statistical computing, and academic research.
Key Features:
- R Integration: Recognizes both Rgui.exe and Rterm.exe, supporting RNOWEB (Knitr and Sweave) for reproducible research.
- Object Explorer: A GUI for interacting with R objects, offering selection options and filtering capabilities.
- Advanced Syntax Coloring: Supports syntax highlighting for multiple programming languages.
- Snippets and Macros: Customizable snippets and macros based on an XML database for efficient code reuse.
- LaTeX Support: Basic support for LaTeX, enabling users to work with statistical documents.
- Spell Checking: Multiple language spell-checking for error-free documentation.
Audience & Benefit:
Ideal for researchers, academics, and data professionals using R for statistical analysis. Tinn-R streamlines the process of writing, testing, and managing code, while its support for reproducible research tools like Knitr and Sweave enhances productivity in academic and professional settings.
Tinn-R is an open-source project developed under the General Public License (GPL) by D.Sc. José Cláudio Faria at the Laboratory of Computational Statistics (LEC), State University of Santa Cruz (UESC). It can be installed via winget, making it accessible for users seeking a powerful tool for statistical computing and document preparation.