R is a high-quality, cross-platform, flexible, widely used open source, free language for statistics, graphics, mathematics, and data science—created by statisticians for statisticians.
R contains more than 5,000 algorithms and millions of users with domain knowledge worldwide, and it is supported by a vibrant and talented community of contributors. It allows access to both well-established and experimental statistical techniques.
R is a free, open source software environment maintained by R-projects for statistical computing and graphics, and the R source code is available under the terms of the Free Software Foundation's GNU General Public License. R compiles and runs on a wide variety for a variety of platforms, such as UNIX, LINUX, Windows, and Mac OS.
There are three shortages of R:
Fortunately, there are packages available to overcome these problems. There are some solutions that can be categorized as parallelism solutions; the essence here is to spread work across multiple CPUs that overcome the R shortages that were just listed. Good examples include, but are not limited to, RHadoop. You will read more on this topic soon in the following sections. You can download the SNOW add-on package and the Parallel add-on package from Comprehensive R Archive Network (CRAN).
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