R Project

Name: R Project
Works on: windows

Windows 2012 and above

Version: 3.3
Last Updated: 28 Apr 2017
Release: 17 Apr 2017
Category: Programming > Coding languages and Compilers

Rate this software:
1834 downloads

Comments

Download

Liked it? Tell others:

R Project Tags

developers compliers interpreters developers r statistics

R Project Details

Works on: Windows 10 | Windows 8.1 | Windows 8 | Windows 2012
SHA1 Hash: 4ca25b54bd2ed27cdc42402c84d8f0ed6f96426d
Size: 74.29 MB
File Format: exe

Rating: 2.782608695 out of 5 based on 23 user ratings

Downloads: 1834
License: Free

R Project is a free software by r-project.org and works on Windows 10, Windows 8.1, Windows 8, Windows 2012.
You can download R Project which is 74.29 MB in size and belongs to the software category Coding languages and Compilers.
R Project was released on 2017-04-17 and last updated on our database on 2017-04-28 and is currently at version 3.3.

Thank you for downloading from SoftPaz! Your download should start any moment now. It would be great if you could rate and share:

Rate this software:
Share in your network:

R Project Description

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 (see What is S?) and Sussmans Scheme. Whereas the resulting language is very similar in appearance to S, the underlying implementation and semantics are derived from Scheme. See What are the differences between R and S?, for further details.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. The R distribution contains functionality for a large number of statistical procedures.