R Full Form - Statistical Programming Language
R is a popular programming language and environment used for statistical analysis, data visualization and graphical representation of data. The full form of R is 'R Programming Language' or simply 'R'.
R was created by Ross Ihaka and Robert Gentleman in the 1990s at the University of Auckland, New Zealand. Since then, R has become one of the most widely used programming languages among statisticians, data analysts and researchers across industries like finance, insurance, pharmaceuticals etc.
Some key facts about R:
Open source - R is an open source software environment supported by the R Foundation for Statistical Computing and a large community of contributors. The source code is freely available under GPL-2 and GPL-3 licenses.
Statistical focus - R provides a wide variety of statistical and graphical techniques like linear and nonlinear modelling, time-series analysis, classification, clustering etc. This makes it suitable for statistical programming and analytics.
Extensibility - Users can extend R's capabilities by defining new functions and packages. Many user-contributed packages are available for domains like finance, genomics, machine learning etc.
Visualization - R has powerful data visualization capabilities through packages like ggplot2, lattice etc. Complex data can be translated into meaningful graphics.
Compatibility - R can integrate with other languages like C, C++, Python, SQL etc. for additional functionality. It can also connect with big data environments like Hadoop.
With its flexibility and breadth of statistical tools, R has become the top choice for developing statistical software, analyzing data and creating stunning visualizations across various industries and academia. Understanding the 'R' full form provides clarity on its core capability in statistical computing and graphics.
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