R Language Quick Introduction

Posted Under: Programming, R, Tutorials on Apr 13, 2020
R Language Quick Introduction
R language is a programming language and software environment for statistical analysis, graphical representation and reporting. The R language was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, and is currently developed by the R language development core team. The core of the R language is interpreted computer language, which allows branch and loop and modular programming using functions. The R language allows integration with processes written in C, C ++, .Net, Python or FORTRAN languages ​​to increase efficiency. The R language is provided free of charge under the GNU General Public License and provides pre-compiled 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.

Features of R

As previously mentioned, R language for statistical analysis, reporting and graphical representation of programming language and software environment. The following are the important features of R language :
  • R language is a well-developed, simple and effective programming language, including conditions, loops, user-defined recursive functions, and input and output facilities.
  • R language has effective data processing and storage facilities,
  • R language provides a set of operators for array, list, vector and matrix calculation.
  • R language provides a large, consistent and integrated set of tools for data analysis.
  • R language provides graphic facilities for printing directly on a computer or paper for data analysis and display.
In conclusion, R language is a statistical programming language in the world's most widely used. It is the first choice for data scientists and is supported by a vibrant and talented community of contributors. The R language is taught in universities and deployed in business-critical applications. This tutorial will teach you R programming with appropriate examples in simple and easy steps.