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R logo. R packages are extensions to the R statistical programming language.R packages contain code, data, and documentation in a standardised collection format that can be installed by users of R, typically via a centralised software repository such as CRAN (the Comprehensive R Archive Network).
RStudio IDE (or RStudio) is an integrated development environment for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser .
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. [9]The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data.
For models that are better suited to description in terms of matrix algebra, this is done using similar functional extensions in the R environment, for instance mxMatrix and mxAlgebra. The code below shows how to implement a simple Confirmatory factor analysis in OpenMx, using either path or matrix formats.
Sumatra has a minimalist design, with its simplicity attained at the cost of extensive features. For rendering PDFs, it uses the MuPDF library. [4]Sumatra was designed for portable use, as it consists of one file with no external dependencies, making it usable from an external USB drive, needing no installation. [5]
S-PLUS 4 was released for Windows in 1997, with features such as an updated GUI, integration with Excel, and editable graphics. S-PLUS 4.5 for Windows in 1998, with Scatterplot brushing, and the ability to create S-PLUS graphs from within Excel & SPSS. The software also became available for Linux & Solaris.
In August 2023, Jupyter AI, a Jupyter extension, was released. This extension incorporates generative artificial intelligence into Jupyter notebooks, enabling users to explain and generate code, rectify errors, summarize content, inquire about their local files, and generate complete notebooks based on natural language prompts.
An output of pip install virtualenv. Pip's command-line interface allows the install of Python software packages by issuing a command: pip install some-package-name. Users can also remove the package by issuing a command: pip uninstall some-package-name