R is not just a statistical package it is a language. So many experts have contributed to R in such a way that now it benefits millions of people who use R today. You don’t have to worry about subscription fees, license fees, license renewals, or user limits as R is an open-source software you can inspect and make changes to the code as you like. R is an open-source project which you can download and use for free. There are many reasons why data scientists choose R. There is a lot of software available for data analysis today, but still, R stands ahead of all the other tools.

R has its Latex-like documentation format, which supplies comprehensive documentation.

R can be extended through packages easily.

C, C++, and Fortran code can be linked to R and called at run time.

allows users to add additional functionality.

graphical facilities to be displayed either on screen or hardcopy.

a huge integrated collection of intermediate tools for data analysis.

set of operators for calculation of arrays.effective data handling and storage facility.R is a simple and effective language that includes conditionals, loops, user-defined recursive functions, and input and output facilities. R is an integrated suite of software facilities developed for data analysis, statistical modeling, simulation, and graphics. One of R’s strengths is the ease with which well-designed, publication-quality plots can be produced, including mathematical symbols and formulae where needed.Web development, programming languages, Software testing & others R Environment a well-developed, simple, and effective programming language which includes conditionals, loops, user-defined recursive functions, and input and output facilities.graphical facilities for data analysis and display either on-screen or on hardcopy, and.a large, coherent, integrated collection of intermediate tools for data analysis,.a suite of operators for calculations on arrays, in particular matrices,.an effective data handling and storage facility,.The S language is often the vehicle of choice for research in statistical methodology, and R provides an open-source route to participation in that activity. The environment compiles and runs on a wide variety of UNIX platforms, Windows, and MacOS.

Its integrated suite of software facilities enables data manipulation, calculation, and graphical display. R is a free software environment for statistical computing and graphics.

Statistical tools for data analysis r