R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing
| R (programminglanguage) | |
|---|---|
| Full Name | Foundation for Statistical Computing |
| Short Name | R |
| Description | Free software environment for statistical computing and graphics supported |
| Company | R Foundation |
| Web | No |
| Mobile | No |
| Enterprise | Yes |
| Embedded | No |
R is a programming language and software environment used for statistical computing and graphics. It is open source and free to use, and is widely used in academia, government, and industry.
Some advantages of using R include its flexibility, powerful statistical and graphical capabilities, and large and active community of developers. It also has a large number of packages available for a wide range of tasks, and is highly customizable.
R is open source and free to use, while SAS and SPSS are proprietary software that require a license. R also has a larger and more active community of developers, and is highly customizable. However, SAS and SPSS may have better performance and stability in certain situations.
Packages in R are collections of functions, data, and documentation that extend the capabilities of the base R system. They are typically created by developers and made available for others to use.
Tidyverse is a collection of R packages designed for data science and data visualization. It includes packages such as ggplot2 for data visualization, dplyr for data manipulation, and tidyr for data tidying.
A data frame in R is a two-dimensional table-like data structure, with rows representing observations and columns representing variables. It is one of the most commonly used data structures in R, and is often used for data analysis and modeling.
A function in R is a block of code that performs a specific task and can be called from other parts of a program. Functions in R can have input parameters and return values, and are often used for tasks such as data manipulation, modeling, and visualization.
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics, and data analysis.
The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
R software is open-source and free software. It is licensed by the GNU Project and available under the GNU General Public License. It is written primarily in C, Fortran, and R itself. Precompiled executables are provided for various operating systems.
As an interpreted language, R has a native command line interface. Moreover, multiple third-party graphical user interfaces are available, such as RStudio—an integrated development environment—and Jupyter—a notebook interface.
See also: Programming Languages