Rscript
runtime
Install
- All systems
-
curl cmd.cat/Rscript.sh
- Debian
-
apt-get install r-base-core-dbg - Ubuntu
-
apt-get install r-base-core-dbg - Arch Linux
-
pacman -S r - Kali Linux
-
apt-get install r-base-core - Fedora
-
dnf install R-core - Windows (WSL2)
-
sudo apt-get updatesudo apt-get install r-base-core-dbg - OS X
-
brew install r - Raspbian
-
apt-get install r-base-core-dbg - Dockerfile
- dockerfile.run/Rscript
R-core
runtime
r-base-core
GNU R core of statistical computation and graphics system
R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files. The design of R has been heavily influenced by two existing languages: Becker, Chambers & Wilks' S and Sussman's Scheme. Whereas the resulting language is very similar in appearance to S, the underlying implementation and semantics are derived from Scheme. The core of R is an interpreted computer language which allows branching and looping as well as modular programming using functions. Most of the user-visible functions in R are written in R. It is possible for the user to interface to procedures written in the C, C++, or FORTRAN languages for efficiency, and many of R's core functions do so. The R distribution contains functionality for a large number of statistical procedures and underlying applied math computations. There is also a large set of functions which provide a flexible graphical environment for creating various kinds of data presentations. Additionally, several thousand extension "packages" are available from CRAN, the Comprehensive R Archive Network, many also as Debian packages, named 'r-cran-<name>'. This package provides the core GNU R system from which only the optional documentation packages r-base-html, r-doc-html, r-doc-pdf and r-doc-info have been split off to somewhat reduce the size of this package.
r-base-core-dbg
GNU R debug symbols for statistical comp. language and environment
R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files. The design of R has been heavily influenced by two existing languages: Becker, Chambers & Wilks' S and Sussman's Scheme. Whereas the resulting language is very similar in appearance to S, the underlying implementation and semantics are derived from Scheme. The core of R is an interpreted computer language which allows branching and looping as well as modular programming using functions. Most of the user-visible functions in R are written in R. It is possible for the user to interface to procedures written in the C, C++, or FORTRAN languages for efficiency, and many of R's core functions do so. The R distribution contains functionality for a large number of statistical procedures and underlying applied math computations. There is also a large set of functions which provide a flexible graphical environment for creating various kinds of data presentations. Additionally, several thousand extension "packages" are available from CRAN, the Comprehensive R Archive Network, many also as Debian packages, named 'r-cran-<name>'. This package contains debugging symbol tables for the binaries and dynamic libraries in the r-base-core package.