Introduction to R Programming
Introduction to R Programming
R programming is a popular open-source programming language designed specifically for data analysis, statistical computing, and graphical representation.
History of R
The development of R is closely tied to the S programming language, which was created by John Chambers and his colleagues at Bell Laboratories in the mid-1970s. S was designed as an environment for data analysis and statistical computing, and it became a powerful tool for statisticians.
R was developed by Ross Ihaka and Robert Gentleman at the Department of Statistics of the University of Auckland, New Zealand, in the early 1990s. The project began as an effort to build a free and open-source language that incorporated the features of the S language.
The name “R” was chosen as a reference to the first letters of its creators’ names, Ross and Robert. R was first released as free software in 1995 under the GNU General Public License (GPL). This made it freely accessible to the public and encouraged a large community of developers to contribute to its growth.
R is an open-source, interpreted computer language that contains many packages, which are used for statistical analysis, data manipulation, data visualization, and Machine Learning(ML).