Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control. One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. ) and graphical techniques, and is highly extensible. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, bioinformatics. There are some important differences, but much code written for S runs unaltered under R. An installer will download to guide you through the installation process, which is very easy. Next, click on the R-3.0.3 package link (or the package link for the most current release of R). R can be considered as a different implementation of S. To install R on a Mac, click the Download R for Mac link.

In either case, follow the usual installation procedures. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. Now you have base R installed on your system and a nice IDE to begin your R programming journey. This puts the win.exe file in your Windows computer, or the.pkg file in your Mac. R is a language and environment for statistical computing and graphics.

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