Easy to install binaries
The source code for the R language is publicly available, but the precompiled binary distributions represent a more intuitive manner of getting in contact with everything the R project has to offer.
The R installer package will guide you through the entire process and you will be able to use R via a simple, organized user interface that resembles a word processor. The best part is that the R installer contains all the required components, such as the R Framework, the R.app GUI and Tcl/Tk for X11.
Various tools for statistical analysis
You can use the R language to perform different types of statistical calculations for linear and non-linear modeling, classical statistical tests, classifications, clustering, time series analysis, and more. Moreover, R provides support for various graphical techniques and you can choose to display the result on the screen or send it to the printer.
The R operators can be used to perform calculations in matrices or arrays, while the programming language also allows you to set up different conditionals, recursive functions, loops and more.
User friendly user interface
Most of the R capabilities can be accessed via the R Console which is represented by a simple and well organized window. The main area is reserved for displaying the code and the results, while the top toolbar includes buttons for frequently used tools.
Of course, the R Console menus also include useful options: you can switch between workspaces, access the package manager / installer, reset the working directory and more.
Useful programing language for processing statistical data
The R project is providing quick access to a programming language that can be used to make statistical computations and generate graphical representations. The best part is that the language can be accessed via an user friendly GUI.
Reviewed by Iulia Ivan on March 6th, 2014
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- NEW FEATURES:
- When attach() reports conflicts, it does so compatibly with library() by using message().
- R CMD Sweave no longer cleans any files by default, compatibly with versions of R prior to 3.1.0. There are new options --clean, --clean=default and --clean=keepOuts.
- tools::buildVignette() and tools::buildVignettes() with clean = FALSE no longer remove any created files. buildvignette() gains a keep argument for more cleaning customization.
Application descriptionR (“GNU S”) is an environment and a language for dealing with statistical graphics and computing.R is a co...