R commander (Rcmdr)
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. Last released version for Mac OS X 10.4 (Tiger) was R 2.10.1, last release for Mac OS X 10.5 (Leopard) was R 2.15.3, last release for Mac OS X 10.11 (El Capitan) was R 3.6.3. Other binaries The following binaries are not maintained or supported by R-core and are provided without any guarantee and for convenience only (Mac OS X 10.4.4 or higher. R commander (Rcmdr) R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use. Basically, R provides the engine that carri. R allows you to perform linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, and clustering among others. The software is designed around a true computer language, which means you can add additional functionalities by defining new functions. Download and install pre-compiled Zabbix agents Zabbix. One-day in-depth online training.
R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use. Basically, R provides the engine that carries out the analyses and Rcmdr provides a convenient way for users to input commands. The Rcmdr program enables analysts to access a selection of commonly-used R commands using a simple interface that should be familiar to most computer users. It also serves the important role of helping users to implement R commands and develop their knowledge and expertise in using the command line --- an important skill for those wishing to exploit the full power of the program.
Information about installing R can be found on the web at the R homepage http://www.r-project.org/ which provides lots of information about the R project and also directs users to one of the CRAN sites (the Comprehensive R Archive Network) that have been set up on many servers across the world in order for users to download the software. CRAN provides all files necessary to install R on a number of different computing platforms (Linux, MacOS X and Windows) along with detailed information about installation and also offers manuals and contributed documentation in a number of langauges and for a number of specific disciplines.
Definitive information about the Rcmdr can be found at it's author's (John Fox) webpage:
R commander Plugins (RcmdrPlugin)
RcmdrPlugin.BCA | Rcmdr Plug-In for Business and Customer Analytics |
RcmdrPlugin.coin | Rcmdr Coin Plug-In |
RcmdrPlugin.depthTools | R commander Depth Tools Plug-In |
RcmdrPlugin.doBy | Rcmdr doBy Plug-In |
RcmdrPlugin.DoE | R Commander Plugin for (industrial) Design of Experiments |
RcmdrPlugin.doex | Rcmdr plugin for Stat 4309 course |
RcmdrPlugin.EACSPIR | Plugin de R-Commander para el manual EACSPIR |
RcmdrPlugin.EBM | Rcmdr Evidence Based Medicine Plug-In package |
RcmdrPlugin.epack | Rcmdr plugin for time series |
RcmdrPlugin.EZR | R Commander Plug-in for the EZR (Easy R) Package |
RcmdrPlugin.HH | Rcmdr support for the HH package |
RcmdrPlugin.IPSUR | An IPSUR Plugin for the R Commander |
RcmdrPlugin.KMggplot2 | Rcmdr Plug-In for Kaplan-Meier Plots and Other Plots Using the ggplot2 Package |
RcmdrPlugin.mosaic | Adds menu items to produce mosaic plots and assoc plots to Rcmdr |
RcmdrPlugin.MPAStats | R Commander Plug-in for MPA Statistics |
RcmdrPlugin.orloca | orloca Rcmdr Plug-in |
RcmdrPlugin.plotByGroup | Rcmdr plots by group using lattice |
RcmdrPlugin.qcc | Rcmdr qcc Plug-In |
RcmdrPlugin.qual | Rcmdr plugin for quality control course |
RcmdrPlugin.SCDA | Rcmdr plugin for designing and analyzing single-case experiments |
RcmdrPlugin.seeg | Rcmdr Plugin for seeg |
RcmdrPlugin.SLC | SLC Rcmdr Plug-in |
RcmdrPlugin.SM | Rcmdr Sport Management Plug-In |
RcmdrPlugin.StatisticalURV | Statistical URV Rcmdr Plug-In |
RcmdrPlugin.steepness | Steepness Rcmdr Plug-in |
RcmdrPlugin.survival | R Commander Plug-in for the survival Package |
RcmdrPlugin.TeachingDemos | Rcmdr Teaching Demos Plug-In |
RcmdrPlugin.temis | Graphical user interface providing an integrated text mining solution |
RcmdrPlugin.UCA | UCA Rcmdr Plug-in |
A number of plugins are available that provide direct access to R packages through the Rcmdr interface. These plugins are installed in the same way as for other R packages (for information about installation see www.UsingRcmdr.com) and can be loaded via the R-console or by using the Rcmdr menus `Tools, Load Rcmdr plugin(s)...'. There are currently 29 Plugins that provide support for specific analyses, graphics, books and teaching. Full information about the Plugins can be obtained by following the links provided in the table...
Using the Rcmdr in conjunction with the Rstudio.
Rcmdr integrates with Rstudio
Further information and resources.
Forthcoming book (due out in 2013): Data Analysis using R and the R commander. Hutcheson, G. D. Sage Pulications.
Download R 3.4.4 For Mac Windows 7
Originally developed as a solution for IT experts, R-Studio is a comprehensive solution for data recovery on Windows systems with support for FAT16/FAT32, NTFS, NTFS5, Mac partitions (HFS/HFS ) and Linux partitions (ext2/ext3/et4). It can perform recovery on both local drives and network drives, even if the partitions are damaged, formatted or deleted.
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The newest version of R-Studio (5.x onwards) adds some new features to this software making it even more useful in a time when an increasing amount of people are using 64-bit operating systems (like Windows 7 64-bit). Version 5.0 builds on the already fast searching algorithms for FAT and NTFS partitions, it adds a new 'forensic mode' for the technician version, clickable links in the hexeditor and RAID 6 support.
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Download R 3.4.4 For Mac Os
This download is licensed as shareware for the Windows operating system from file recovery software and can be used as a free trial until the trial period ends (after an unspecified number of days). The R-Studio Data Recovery Software 8.15 demo is available to all software users as a free download with potential restrictions and is not necessarily the full version of this software.
Compatibility with this software may vary, but will generally run fine under Microsoft Windows 10, Windows 8, Windows 8.1, Windows 7, Windows Vista and Windows XP on either a 32-bit or 64-bit setup. A separate x64 version of R-Studio may be available from R-tools technology Inc.
Download R 3.5.1 For Mac
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