R 3.1.2

Provides quick access to a language that enables you to perform the statistical analysis of various types of data and generate graphics for the results.

  Add it to your Download Basket!

 Add it to your Watch List!


Rate it!

What's new in R 3.1.2:

  • embedFonts() now defaults to format = "ps2write" for ‘.ps’ and ‘.eps’ files. This is available in Ghostscript 9.x (since 2010) whereas the previous default, format = "pswrite", was removed in Ghostscript 9.10.
  • For consistency with [dpqr]norm(), [dp]lnorm(sdlog = 0) model a point mass at exp(mulog) rather than return NaN (for an error).
  • capabilities() now reports if ICU is compiled in for use for collation (it is only actually used if a suitable locale is set for collation, and never for a C locale).
Read full changelog
send us
an update
57.8 MB
R Project
2.8/5 28
Home \ Math/Scientific
10 R Screenshots:
R - By accessing the main window of the application, you will be able to read some information about the R environment.R - From the Workspace menu you can access the Workspace browser as well as display the current workplace.R - From the packages and data menu you can access the package manager and installer, as well as data manager.RRRRRRR
Inspired by the S statistical programming language developed at the Bell Laboratories, the R language can be used to perform computer statistical analysis for all sorts of information. At the same time, you can also use its capabilities to generate relevant graphics.

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.

R was reviewed by , last updated on November 12th, 2014

Runs on: Mac OS X 10.6 or later (Intel only)


#statistics environment #time-series analysis #computing environment #statistics #computing #analyzer #analysis

Add your review!