R is an interpreted programming language (consequently likewise called a scripting language), which implies that your code doesn’t need a compilation before running. This is a high-level language wherein you don’t approach the inward activities of the PC where you are running your code; everything is inclining toward helping you examine favorable information.<\/p>\n
R made its first appearance in 1993 and was created by Ross Ihaka<\/strong> and Robert Gentleman<\/strong> at the University of Auckland, New Zealand. It is currently developed under the R Development<\/strong> Core Team. A pre-compiled version of R language is freely available for various operating systems(OS) like Windows, Mac, and Linux under the GNU General Public License<\/strong>.<\/p>\n R is used for Statistical inference, Data analysis, Machine learning algorithms<\/strong> and also used as a programming language as well as a software environment for statistical analysis, graphics representation and reporting. The core of R is an interpreted computer-oriented language that permits branching and looping also as modular programming using functions. R language lets in integration with the techniques written in the C, C++, .net, Python<\/a> or FORTRAN languages for performance.<\/p>\n R is the maximum of widely used statistics programming language. It is the first choice of the data scientists and supported by a vibrant and talented community of contributors. Even Social networking companies are using R to monitor their user experience. R may be a useful gizmo to explore and investigate the info. \n\t\t\t\t\t\tR is an interpreted programming language (consequently likewise called a scripting language), which implies that your code doesn\u2019t need a compilation before running. This is a high-level language wherein you don\u2019t approach the inward activities of the PC where you are running your code; everything is inclining toward helping you examine favorable information.\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t \n\t\t\t\t\t\tR made its first appearance in 1993 and was created by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand.\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t \n\t\t\t\t\t\tR is used for Statistical inference, Data analysis, Machine learning algorithms and also used as a programming language as well as a software environment for statistical analysis, graphics representation and reporting.\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t \n\t\t\t\t\t\tSome features of R language are:Features:<\/h3>\n
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\n\t\tWhat is R programming language?<\/h3>\t\t\t\t
Who developed R programming language?<\/h3>\t\t\t\t
What is R language used for?<\/h3>\t\t\t\t
What are the features of R language?<\/h3>\t\t\t\t
\n- R is a very much evolved, basic and effective programming language that involves conditionals, loops, user-defined recursive functions, input and output facilities.
\n- R lets in appearing the virtual statistical computation to save time and provide the mistake-loose content.
\n- R has some statistical Features in which it includes Mean, variance, median and some graphical features like Basic plots, graphic maps.
\n- It also has a Probability distribution feature like Beta, Binomial.\t\t\t\t\t<\/p>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\n