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R Language – Introduction of R Language: Online Course

by admin in Notes

Introduction of R Language: In this course you will learn Background knowledge of R language, What is R, Why R, Features of R. So let’s know Introduction of R Language.

Introduction of R Language

R is a programming language and software environment for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

It compiles and runs on a wide variety of UNIX platforms, Windows and Mac OS. R can be downloaded and installed from CRAN website , CRAN stands for Comprehensive R Archive Network.

What is R Language?

In the previous period, statisticians wanted to produce graphical applications for statistical computing. So we can say that R programming language is an open-source programming language for statistical computation. In which thousands of packages have been developed, this GNU package has been made for the static model. It supports n number of statistical analysis techniques, machine learning models, and graphical visualization for data analysis. It has written in C, Fortran, and R(itself).

The R core team and the R Foundation support the R language for statistical computing. R language serves the purpose of the free software environment for statistical computation and graphics. R language has ranked among the top programming languages in the TIOBE index. R programming language is easy to understand and implement. It supports a handful of built-in functions. It supports cross-platform portability. Multiple operating systems support the R language. R studio IDE is used to manage the R programming scripts. 

History of R Language

  • R is a programming language it was an implementation over S language & S-plus, developed at AT&T labs in late 1980s.
  • —R project was started by Robert Gentleman and Ross Ihaka Department of Statistics, University of Auckland (1995).
  • —Currently maintained by R core development team – an international team of volunteer developers (since 1997).
  • It was stable released on October 31st 2014 by R Development Core Team Under GNU General Public License.
  • Stable version of R is 3.3.2 released on October 31, 2016.
  • R is 3.3.5 Added new features such as compact internal representation of integer sequences, serialization format etc.

Why R?

  • R is freely available under GNU General Public License.
  • It runs on a variety of platforms including Windows, Unix and MacOS.
  • It provides an unparalleled platform for programming new statistical methods in an easy and straightforward manner.
  • It contains advanced statistical routines not yet available in other packages.
  • It has state-of-the-art graphics capabilities.
  • The most extensive modeling resources in scientific research.
  • The fine publishing quality graphs.
  • Easy to develop your own model.
  • R allows integrating with other languages, like C/C++, Java, Python, etc.

R Package

  • A Package is a collection of R functions with comprehensive documents.
  • A Package includes: R functions, Data Example, Help Files, Namespace and Description.
  • The default installation is kept as minimum.
  • The function of R could be extent by loading R packages.

Feature of R

As stated earlier, R is a programming language and software environment for statistical analysis, graphics representation and reporting.

The following are the important features of R: –

  1. R is a well-developed, simple and effective programming language which includes conditionals, loops, user defined recursive functions and input and output facilities.
  2. R has an effective data handling and storage facility.
  3. R provides a suite of operators for calculations on arrays, lists, vectors and matrices.
  4. R provides a large, coherent and integrated collection of tools for data analysis.
  5. R provides graphical facilities for data analysis and display either directly at the computer or printing at the papers.
  6. As a conclusion, R is world’s most widely used statistics programming language. It’s the # 1 choice of data scientists and supported by a vibrant and talented community of contributors. R is taught in universities and deployed in mission critical business applications.
  7. The project was conceived in 1992, with an initial version released in 1995 and a stable beta version in 2000.
  8. Current stable version of R is 3.3.2 released on October 31, 2016.

CONCLUSION

We have discussed in this article such as what is the R Lang? R Package, Why R? Features of R. A good understanding of any other programming languages ​​will help you understand R programming concepts quickly.

Read Next Article in the Series-

Install R Language

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Reference

R Language

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