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Characteristic features of tidyverse packages include extensive use of non-standard evaluation and encouraging piping. [3] [4] [5] As of November 2018, the tidyverse package and some of its individual packages comprise 5 out of the top 10 most downloaded R packages. [6] The tidyverse is the subject of multiple books and papers.
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 .
Windows: Terminal emulator for Windows Warp: Character: Local Linux, macOS: Terminal with modern IDE, AI assistance, and collaborative command sharing WezTerm Character: Local X11, Wayland: Unix-based, Windows: Terminal emulator implemented in Rust: Windows Console: Character: Local Windows: Windows command line terminal Windows Terminal ...
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IDE License Windows Linux macOS Other platforms Debugger Assemblers Auto-complete Macros/templates Latest stable release; Fresh: EUPL and 2-clause BSD : Yes Yes No Unknown No FASM: Unknown
The R Journal is an open access, academic journal which features short to medium-length articles on the use and development of R. It includes articles on packages, programming tips, CRAN news, and foundation news. The R community hosts many conferences and in-person meetups - see the community maintained GitHub list. These groups include:
Windows Terminal is a multi-tabbed terminal emulator developed by Microsoft for Windows 10 and later [4] as a replacement for Windows Console. [5] It can run any command-line app in a separate tab. It is preconfigured to run Command Prompt , PowerShell , WSL and Azure Cloud Shell Connector, [ 6 ] [ 7 ] and can also connect to SSH by manually ...
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).