Statistical Program R For Mac

R is a language and environment for statistical computing and graphics. 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. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.

  1. R Statistical Language
  2. Statistical Program R For Mac
  3. Latex For Mac
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R Statistical Language

R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. 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.

Statistical Program R For Mac

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. Great care has been taken over the defaults for the minor design choices in graphics, but the user retains full control.

Latex For Mac

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. StatPlus for Windows StatPlus:mac With StatPlus, one gets a robust suite of statistics tools and graphical analysis methods that are easily accessed through a simple and straightforward interface. R for Mac OS X. This directory contains binaries for a base distribution and packages to run on Mac OS X (release 10.6 and above). Mac OS 8.6 to 9.2 (and Mac OS X 10.1) are no longer supported but you can find the last supported release of R for these systems (which is R 1.7.1) here.