The software R is a statistical software created by Ross Ihaka & Robert Gentleman. It is both a computer language and a work environment: orders are executed by means of instructions coded in a relatively simple language, the results are displayed as text, and the graphics are displayed directly in a window of their own. This is a clone of the S-plus software that is based on the programming language object oriented S, developed by AT&T Bell Laboratories in 1988.

This software manipulates data, graphs, and analysis statistics based on this data.

Why use the R language?

First of all, R is free and is open source. It runs on UNIX (and Linux), Windows and Macintosh. It also qualifies as multi-platform software, developed by an ever-growing community of motivated volunteer devs.

Anyone can contribute to its improvement by integrating new functionalities or methods of analysis that have not yet implemented. It is also a very powerful and very complete tool, particularly well adapted for the computer implementation of statistical methods. It is more difficult to access than other software in the market (like SPSS or Minitab), because it is not designed to be used with the help of mouse clicks in menus. The advantage, however, is twofold:

  • The approach is pedagogical since it is necessary to control the statistical methods needed to achieve them
  • The tool is very effective for devs who have a sound knowledge of the R

To learn more.

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