Overview
R is a free software environment for statistical computing and graphics, developed and supported by the R Project for Statistical Computing. It is widely used by statisticians and data scientists for data analysis, statistical modeling, and graphical representation.
Key Features
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Comprehensive Statistical Packages: Offers a wide array of statistical and graphical techniques, including linear and nonlinear modeling, time-series analysis, classification, and clustering.
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Extensible Functionality: Users can create custom functions and utilize packages from CRAN (Comprehensive R Archive Network) for enhanced capabilities.
- Data Visualization: Provides advanced plotting capabilities through packages like ggplot2, enabling users to create high-quality graphics easily.
- Community Support: Backed by a robust community of users and developers who contribute to its ongoing improvement and support.
Benefits
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Cost-Effective: Being open-source and free, R is accessible to anyone, making it an economical choice for students and researchers.
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Flexibility and Customization: Users can tailor R to their specific needs through extensive packages and libraries, accommodating a variety of analytical approaches.
- Integration with Other Tools: R easily integrates with other programming languages and software, such as Python, SQL, and various databases, enhancing its utility in data analysis workflows.
- Robust Documentation and Resources: Extensive manuals and FAQs are available, alongside a vibrant online community, ensuring help and resources are readily accessible.
Available to
All LUC faculty, staff, and students can access R for academic purposes, available in labs and for personal installation.
Cost
This service is provided at no additional cost to eligible* individuals or departments, as it is fully funded by the institution.
*Questions on eligibility, please contact the ITS Service Desk*