What You Need To Know About R
Title : What You Need To Know About R
Edition :
Year : 2016
Authors : Raghav Bali, Dipanjan Sarkar
Publisher : Packt
Preface
R is a scripting language that is aimed at performing statistical analysis. It draws inspiration from S, a statistical programming language that was developed by AT&T. It also provides a multitude of options, tools, and libraries to make statistical analysis easy and effective. R has grown over the years as a result of its open source nature. It is a community-driven language that provides powerful tools for data processing, manipulation, visualization, and publishing. It continues to evolve with an ever-increasing list of packages and libraries, along with constant improvements to the overall language.
Statistical analysis was the reason for R's inception and it has grown both in importance and functionality over the years to become a go-to language. Data scientists and statisticians alike use it to quickly prototype as well as to build complex models and analysis. R finds applications for financial analysis and modeling, food and drug data analysis, clinical trial analysis, and so on.
R is maintained by the Comprehensive R Archival Network (which is better known as CRAN). CRAN maintains the latest and past version binaries and the source code for R for most OS platforms, such as Windows, Mac, and Linux. As mentioned earlier, R is a free and open source platform. Due to its increased popularity and capabilities, commercial versions of R are also available with enterprise support. R is also being enhanced and tweaked to make it work with Big Data technologies, such as Hadoop with offerings available from Oracle, IBM, and so on. Platforms such as Mathematica, MATLAB, SPSS, and others offer connection capabilities to R as well.
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Preface
R is a scripting language that is aimed at performing statistical analysis. It draws inspiration from S, a statistical programming language that was developed by AT&T. It also provides a multitude of options, tools, and libraries to make statistical analysis easy and effective. R has grown over the years as a result of its open source nature. It is a community-driven language that provides powerful tools for data processing, manipulation, visualization, and publishing. It continues to evolve with an ever-increasing list of packages and libraries, along with constant improvements to the overall language.
Statistical analysis was the reason for R's inception and it has grown both in importance and functionality over the years to become a go-to language. Data scientists and statisticians alike use it to quickly prototype as well as to build complex models and analysis. R finds applications for financial analysis and modeling, food and drug data analysis, clinical trial analysis, and so on.
R is maintained by the Comprehensive R Archival Network (which is better known as CRAN). CRAN maintains the latest and past version binaries and the source code for R for most OS platforms, such as Windows, Mac, and Linux. As mentioned earlier, R is a free and open source platform. Due to its increased popularity and capabilities, commercial versions of R are also available with enterprise support. R is also being enhanced and tweaked to make it work with Big Data technologies, such as Hadoop with offerings available from Oracle, IBM, and so on. Platforms such as Mathematica, MATLAB, SPSS, and others offer connection capabilities to R as well.
DOWNLOAD (MEGA) | DOWNLOAD (SOLIDFILE) | DOWNLOAD (UPTOBOX)
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