Database Reference
In-Depth Information
R programming
This section focuses on onboarding the readers to R programming. Details on install-
ation and sample programs are provided as a part of this section for reference.
R is a scripting language for statistical data analysis and exploration. It was inspired
by the statistical language S developed by AT&T. S later was sold to a small firm,
which added a GUI interface and named the result S-Plus. SAS and MATLAB are oth-
er popular data analysis environments. It is a tool for data manipulation that includes
connecting to data sources and slicing and dicing data, data modeling, and visualiza-
tions.
The use of R is increasing exponentially in the predictive analytics community.
Of course, the biggest attraction with R is that it is open source, fairly powerful (com-
parable to the commercial packages), and is flexible (available on Windows, Linux,
and Mac).
Letusgetstarted with installation. Windows usersvisit
http://cran.rproject.org/bin/win-
dows/base/
and install the latest version.
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