What is R?
Best insight from top research papers
R is a versatile and powerful programming language primarily designed for statistical computing and graphics. It offers a wide array of functions and tools for data representation, analysis, and visualization, making it popular in various fields like biostatistics, bioinformatics, and financial market analysis. R supports different data object types known as classes and can handle diverse data types such as audio files, images, text, and numeric data for tasks like linear modeling and machine learning. While traditionally interacted with through a command-line interface, efforts are underway to develop more user-friendly graphical interfaces to enhance accessibility for novice users. R's object-oriented nature allows users to save and manipulate objects, making it a valuable tool for statistical data processing and data mining tasks. Additionally, R's focus on statistical analysis, functional programming, and extensive support for model specifications and probability distributions further solidify its position as a key tool in research and analysis.
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| Papers (5) | Insight |
|---|---|
| R is a functional programming language specializing in statistical analysis. It offers model specifications as first-class objects and a wide range of functions for probability distributions and model fitting. | |
01 Jan 2013 | R is an object-oriented programming language used for data mining and statistics. It offers free access to specialized packages, making it a powerful tool for various research fields. |
| R is a free computing environment for statistical data analysis and graph creation, playing a crucial role in various knowledge domains, including psychological evaluation, with a focus on statistical analysis. | |
| R is an open source programming language for statistical computing and graphics, widely used in various fields like biostatistics, bioinformatics, finance, and social network analysis. | |
| Answer: R is a versatile programming language with various data object types, used for linear modeling, machine learning, and data analysis. It utilizes functions and objects within specialized packages. |
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