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. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, bioinformatics.) 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. 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. Full Specifications What's new in version 3.5.1 A description of changes can be found. General Publisher Publisher web site Release Date July 09, 2018 Date Added July 09, 2018 Version 3.5.1 Category Category Subcategory Operating Systems Operating Systems Mac Additional Requirements • macOS High Sierra • macOS Sierra • OS X El Capitan • OS X Yosemite • OS X Mavericks Download Information File Size 73.95MB File Name R-3.5.1.pkg Popularity Total Downloads 91,628 Downloads Last Week 131 Pricing License Model Free Limitations Not available Price Free. R for Mac OS X CRAN Archive. This directory contains archive binaries of packages for Mac OS X and R up to version 2.11.1 which are too old to appear on the CRAN mirror netowrk. How To Install R and RStudio on a Mac. The package will download and double click to install. R Project for Statistical Computing. Project Sharing: Manage Multiple R Sessions & Versions. If you don't already have R, download it here. RStudio 1.1.456 - Mac OS X 10.6+ (64-bit). R for Mac OS X Developer's Page This is the new home for experimental binaries and documentation related to R for Mac OS X. To learn more about the R software or download released versions, please visit www.r-project.org. The R Project for Statistical Computing. If you have questions about R like how to download and install the software, or what the license terms are. I have fallen in love with the R language and tool set over the last few weeks. I find that getting outside my comfort zone and learning new tools can always spur creativity and the open source community has a great many tools just waiting to be discovered. The fact that there is a free option for RStudio provides a powerful analysis tool to organizations without taking a large hit to the budget. R is a statistical computing and graphics language and is available as free software under the GNU general public license. RStudio is a free and open source integrated development environment that puts a user interface over the R command line back end. The combination of the two provides a powerful data analysis toolset. The tools are more command line and have a programming style rather than a point and click tool such as Microsoft’s Excel. This tool would appeal to the power user analyst or a user with more of a programming background. R has a Very Active Community The trouble with adding open source software to your workflow is making sure that the tool is active and being updated on a regular basis. The main criteria I look for is based on how large and active the community around the tool is. • Do people have a passion for the software?
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