May 12, 2021 R language tutorial
The R language is the programming language and software environment for statistical analysis, graphical display, and reporting. R Language was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand and is currently being developed by the R Language Development Core team.
The core of the R language is the interpretation of the computer language, which allows for branching and looping as well as modular programming using functions. T he R language allows integration with processes written in C, C, .Net, Python, or FORTRAN languages for increased efficiency.
The R language is provided free of charge under the GNU General Public License and provides precompiled binary versions for various operating systems such as Linux, Windows, and Mac.
R is a free software on the left side of the GNU-style copy, the official part of the GNU project is called GNU S.
The R language was originally written by Ross Ihaka and Robert Gentleman of the Department of Statistics at the University of Auckland in Auckland, New Zealand. R Language debuted in 1993.
A large group of people contributed to R by sending codes and error reports.
Since mid-1997, there has been a core group ("R Core Team") that can modify the R source code archive.
As mentioned earlier, the R language is a programming language and software environment for statistical analysis, graphical representing, and reporting. T he following are the key features of the R language:
The R language is a well-developed, simple and effective programming language that includes conditions, loops, user-defined recursive functions, and input and output facilities.
R Language has effective data processing and storage facilities,
The R language provides a set of operators for array, list, vector, and matrix calculations.
The R language provides a large, consistent, and integrated set of tools for data analysis.
R Language Provides graphics facilities for data analysis and display that are printed directly on a computer or on paper.
As a conclusion, the R language is the most widely used statistical programming language in the world. I t is the first choice for data scientists and is supported by a vibrant and talented community of contributors. R Language Is a university professor and deployed in a business-critical application. T his tutorial will teach you R programming with appropriate examples in simple and easy steps.