Download SuperDocker for Mac. Free tool that will help you customize Leopard's style and appearance. SuperDocker 3.0.3 for Mac OS X. SuperDocker allows to customize parts of your Mac OS X. Download R 3.0.3 for Windows (54 megabytes, 32/64 bit) Installation and other instructions; New features in this version; If you want to double-check that the package.
Download RStudio Latest Version for Windows, Mac & Ubuntu – RStudio is a programming language and software system designed specifically to do all things related to statistical computing. This programming language was first developed in 1993 by two statistical experts, Ross Ihaka and Robert Gentleman at Auckland University, New Zealand. Until now, the R programming language continued to grow rapidly along with the increasing popularity of the term “Big Data” and the increasing need for companies to be data scientists to process and analyze data in the company as a basis for policy making and automating business processes to be data-driven. Programming languages like Python and R have become the main choice for researchers and practitioners in the field of data science to process and analyze data both for research and business purposes. Therefore, for a beginner in the field of data science, R is a highly recommended programming language to master.
Why Can RStudio Become So Popular?
Based on the publication released by IEEE Spectrum ranks languages in 2017, R belongs to the 10 most popular programming languages. R is in the 6th position above the Javascript and PHP programming languages which are in the 7th and 8th positions respectively. While the first rank is held by the Python programming language, which is also in great demand by data scientists. One of the reasons why R can fit into the most popular programming languages is that more and more people are using R in academic research papers. So, R proved very popular to be used by researchers in the field of statistics and data science. In addition, R is also developed open source so that it can be used legally without the need to pay for any license, aka free! Equally important is that R already has a large user community, so that any problems that we will encounter during the learning process can almost certainly be available on the StackOverflow website.
Installing RStudio
After getting to know the R programming language a little, the next step is to install this environment systems as IDEs to make it easier for us when coding later. Following are the steps for installing R:
First, you need to download RStudio first. Then, click the link Download R 3 for Windows (Assuming you use Windows OS), make sure the download process is complete 100%. Install the file downloaded in step 2 on PC or Laptop according to the OS version it has (64 bit or 32 bit). If the installation process has finished correctly, the R icon will appear on the desktop. Next, we need to install this app as an IDE. The app is specifically designed to make it easier for us to process coding and project management later. Therefore, we strongly recommend installing this application before starting to study the use of R itself. Some features of the app include code completion, syntax highlighting, smart indentation, etc. After you click the R icon, then the display will be directed to the Installers for Supported Platforms page section. Select the default option for each installation stage. If the installation process has finished correctly, the RStudio icon will appear on the desktop or toolbar.
Download RStudio Latest Version
- Download RStudio for Windows – Download
- Download RStudio for Mac – Download
- Download RStudio for Ubuntu 32-bit – Download
- Download RStudio for Ubuntu 64-bit – Download
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. Releases for old Mac OS X systems (through Mac OS X 10.5) and PowerPC Macs can be found in the old directory.
Note: CRAN does not have Mac OS X systems and cannot check these binaries for viruses.Although we take precautions when assembling binaries, please use the normal precautions with downloaded executables.
Package binaries for R versions older than 3.2.0 are only available from the CRAN archive so users of such versions should adjust the CRAN mirror setting (https://cran-archive.r-project.org) accordingly.
R 3.6.3 'Holding the Windsock' released on 2020/02/29
Important: since R 3.4.0 release we are now providing binaries for OS X 10.11 (El Capitan) and higher using non-Apple toolkit to provide support for OpenMP and C++17 standard features. To compile packages you may have to download tools from the tools directory and read the corresponding note below.
Please check the MD5 checksum of the downloaded image to ensure that it has not been tampered with or corrupted during the mirroring process. For example type
md5 R-3.6.3.pkg
in the Terminal application to print the MD5 checksum for the R-3.6.3.pkg image. On Mac OS X 10.7 and later you can also validate the signature using
pkgutil --check-signature R-3.6.3.pkg
Latest release:
| R-3.6.3.pkg (notarized, for Catalina) SHA1-hash: 2677aaf9da03e101f9e651c80dbec25461479f56 (ca. 77MB) R-3.6.3.nn.pkg (regular) | R 3.6.3 binary for OS X 10.11 (El Capitan) and higher, signed package. Contains R 3.6.3 framework, R.app GUI 1.70 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 5.2. The latter two components are optional and can be ommitted when choosing 'custom install', they are only needed if you want to use the tcltk R package or build package documentation from sources. macOS Catalina users must use notarized version which enforces hardened run-time. All others can use regular version which uses the same runtime as previous R releases. R 3.6.2 was the last version that can be run on Catalina with regular runtime. Note: the use of X11 (including tcltk) requires XQuartz to be installed since it is no longer part of OS X. Always re-install XQuartz when upgrading your macOS to a new major version. Important: this release uses Clang 7.0.0 and GNU Fortran 6.1, neither of which is supplied by Apple. If you wish to compile R packages from sources, you will need to download and install those tools - see the tools directory. |
| NEWS (for Mac GUI) | News features and changes in the R.app Mac GUI |
| Mac-GUI-1.70.tar.gz MD5-hash: b1ef5f285524640680a22965bb8800f8 | Sources for the R.app GUI 1.70 for Mac OS X. This file is only needed if you want to join the development of the GUI, it is not intended for regular users. Read the INSTALL file for further instructions. |
Note: Previous R versions for El Capitan can be found in the el-capitan/base directory.Binaries for legacy OS X systems: | |
| R-3.3.3.pkg MD5-hash: 893ba010f303e666e19f86e4800f1fbf SHA1-hash: 5ae71b000b15805f95f38c08c45972d51ce3d027 (ca. 71MB) | R 3.3.3 binary for Mac OS X 10.9 (Mavericks) and higher, signed package. Contains R 3.3.3 framework, R.app GUI 1.69 in 64-bit for Intel Macs, Tcl/Tk 8.6.0 X11 libraries and Texinfo 5.2. The latter two components are optional and can be ommitted when choosing 'custom install', it is only needed if you want to use the tcltk R package or build package documentation from sources. Note: the use of X11 (including tcltk) requires XQuartz to be installed since it is no longer part of OS X. Always re-install XQuartz when upgrading your OS X to a new major version. |
| R-3.2.1-snowleopard.pkg MD5-hash: 58fe9d01314d9cb75ff80ccfb914fd65 SHA1-hash: be6e91db12bac22a324f0cb51c7efa9063ece0d0 (ca. 68MB) | R 3.2.1 legacy binary for Mac OS X 10.6 (Snow Leopard) - 10.8 (Mountain Lion), signed package. Contains R 3.2.1 framework, R.app GUI 1.66 in 64-bit for Intel Macs. This package contains the R framework, 64-bit GUI (R.app), Tcl/Tk 8.6.0 X11 libraries and Texinfop 5.2. GNU Fortran is NOT included (needed if you want to compile packages from sources that contain FORTRAN code) please see the tools directory. NOTE: the binary support for OS X before Mavericks is being phased out, we do not expect further releases! |
Subdirectories:
| tools | Additional tools necessary for building R for Mac OS X: Universal GNU Fortran compiler for Mac OS X (see R for Mac tools page for details). |
| el-capitan | Binaries of package builds for OS X 10.11 or higher (El Capitan build) |
| mavericks | Binaries of package builds for Mac OS X 10.9 or higher (Mavericks build) |
| old | Previously released R versions for Mac OS X |
You may also want to read the R FAQ and R for Mac OS X FAQ. For discussion of Mac-related topics and reporting Mac-specific bugs, please use the R-SIG-Mac mailing list.
Download Rstudio 3.0.3 For Mac Windows 7
Information, tools and most recent daily builds of the R GUI, R-patched and R-devel can be found at http://mac.R-project.org/. Please visit that page especially during beta stages to help us test the Mac OS X binaries before final release!
Package maintainers should visit CRAN check summary page to see whether their package is compatible with the current build of R for Mac OS X.
Binary libraries for dependencies not present here are available from http://mac.R-project.org/libs and corresponding sources at http://mac.R-project.org/src.
Download Rstudio 3.0.3 For Mac Pc
Last modified: 2020/03/11, by Simon Urbanek