R for Windows) Open the downloaded.exe file and Install R; For Mac: Download the appropriate version of.pkg file form the following link. ( R for Mac) Open the downloaded.pkg file and Install R; For Linux: For complete R System installation in Linux, follow the instructions on the following link ( Link). Aug 10, 2020. RStudio is a set of integrated tools designed to help you be more productive with R. It includes a console, syntax-highlighting editor that supports direct code execution, and a variety of robust tools for plotting, viewing history, debugging and managing your workspace.
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To install Office, try signing in directly to the Microsoft 365 Software page instead. Select the language and bit-version you want (PC users can choose between 32-bit and 64-bit), and then click Install. See Steps 2 and 3 on the PC or Mac tabs above to help you with the rest of the install process.
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The installer automatically detects the Operating System your device is running and chooses the right version of BlueStacks.
Recommended
Choose from the Other BlueStacks Versions
Operating System
Select
- Windows 32 Bit
- Windows 64 Bit
- MAC
Note: To run this version, your PC needs to be VT compatible and VT enabled
FAQs
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If I have a 32-bit Windows PC and want to run 32-bit Android apps, which version of BlueStacks do I need?You need the 32-bit Android version of BlueStacks
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If I have a 64-bit Windows PC and want to run 64-bit Android apps, which version of BlueStacks do I need?You need the 64-bit Android Version of BlueStacks. Also, your PC should be VT enabled. Here is a step-by-step guide to enable VT on your PC - How can I enable VT on my PC
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I’m running an earlier version of BlueStacks. Should I update?Yes, absolutely. We recommend that you download the latest version of BlueStacks based on your system requirements. All the updated versions are faster, more powerful and come with a lot of new features to improve your gaming experience.
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Should I download BlueStacks from a third-party site?No. We strongly recommend that you download BlueStacks only from the official BlueStacks website. Downloading BlueStacks from third-party sites may infect your PC with malware and compromise its security.
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Browse this list of articles to further improve your gaming experience with BlueStacks.
- Introducing the best, most advanced keyboard controls editor ever.
- How can I change the graphics mode on BlueStacks ?
- How to speed up BlueStacks ?
- How can I allocate more memory to BlueStacks ?
- How can I use macro recorder ?
- Questions? Send an email to [email protected]
Read the latest from the BlueStacks Editor's Blog
This is the new home for experimental binaries and documentation related to R for macOS. To learn more about the R software or download released versions, please visit www.r-project.org.
All software on this page is strictly experimental and subject to acceptance of the supplied R license agreement and the disclaimer at the end of the page.
Important note about R 4.0.0
Starting with R 4.0.0 alpha we are building R using standard Apple tools (Xcode 11.4) and GNU Fortran 8.2 from fxcoudert and the target is macOS 10.13 (High Sierra). All dependent static libraries are available in the libs-4 directory. Please make sure you remove any modifications to build flags from your home since no custom compilers are used anymore. For more information about alternative OpenMP options (as in older version) see the openmp page of this site.
Starting with R 4.0.0 alpha we are building R using standard Apple tools (Xcode 11.4) and GNU Fortran 8.2 from fxcoudert and the target is macOS 10.13 (High Sierra). All dependent static libraries are available in the libs-4 directory. Please make sure you remove any modifications to build flags from your home since no custom compilers are used anymore. For more information about alternative OpenMP options (as in older version) see the openmp page of this site.
Index
Nightly builds for macOS
R framework
Build | OS | Date | Status | Download |
---|---|---|---|---|
R-3.6-branch 3.6.3 Patched (2020/04/28, r78971) |
el-capitan | Aug 4 23:30 | x86_64: OK (log) Package: OK |
R-3.6-branch-el-capitan-sa-x86_64.tar.gz (67Mb) R-3.6-branch-el-capitan-signed.pkg (77Mb, installer incl. GUI) |
R-4.0-branch 4.0.3 beta (2020/09/29, r79283) |
high-sierra | Sep 30 21:41 | x86_64: OK (log) Package: OK |
R-4.0-branch.tar.gz (72Mb) R-4.0-branch.pkg (84Mb, installer incl. GUI) |
R-devel 4.1.0 Under development (unstable) (2020/09/30, r79283) |
high-sierra | Sep 30 21:52 | x86_64: OK (log) Package: OK |
R-devel.tar.gz (73Mb) R-devel.pkg (85Mb, installer incl. GUI) |
The installer image (*.pkg) is packaged exactly the same way as the CRAN release of R (including the GUI) and it will update your R version (unless you use pkgutil - see instructions during installation and/or the 'Multiple versions'section of the R Installation and Administration manual).
Alternatively, you can use the tar-ball (*.tar.gz) in the table above. The tar-ball must be unpacked in the root directory using:
$ tar fvxz R*.tar.gz -C /
NOTE: The tar-ball does not contain the GUI (see below for a separate download).
NOTE: The installer includes Tcl/Tk package which will install in /usr/local. It is optional (only needed for the tcltk R package) and can be unchecked at installation time.
If you see any issues with the builds, please contact Simon Urbanek (the macOS maintainer of R) or report on the R-SIG-Mac mailing list.
Mac OS X GUI
Version | Build | Download |
---|---|---|
Mac OS X GUI rev. 7782 for R 3.6.x | el-capitan-Debug.dmg | R-GUI-7782-3.6-el-capitan-Debug.dmg |
Mac OS X GUI rev. 7782 for R 3.6.x | el-capitan-Release.dmg | R-GUI-7782-3.6-el-capitan-Release.dmg |
Mac OS X GUI rev. 7889 for R 4.0.x | high-sierra-Debug.dmg | R-GUI-7889-4.0-high-sierra-Debug.dmg |
Mac OS X GUI rev. 7889 for R 4.0.x | high-sierra-Release.dmg | R-GUI-7889-4.0-high-sierra-Release.dmg |
Mac OS X GUI rev. 7889 for R 4.1.x | high-sierra-Debug.dmg | R-GUI-7889-4.1-high-sierra-Debug.dmg |
Mac OS X GUI rev. 7889 for R 4.1.x | high-sierra-Release.dmg | R-GUI-7889-4.1-high-sierra-Release.dmg |
To install, open the image and drag the R icon to your Applications folder. Alternatively the GUI can be run directly off that image without copying if you just want to test it. Build configurations with '64' suffix are 64-bit builds, all others are 32-bit (except for Debug). If you want to use both, rename one of them or place them in different directories.
Tools
In order to compile R and R packages you will need Xcode Developer Tools and a Fortran compiler. For details and download, please read the Tools page. The R 4.0.0 and higer binaries are built using Xcode 11.4.Experimental binary packages
This site no longer hosts experimental packages. It is now the master repository for released R package binaries. If you have issues with other mirrors, try using https://mac.r-project.org/ as your mirror as it is updated first.Legacy R
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The current build supports only macOS X 10.13 (High Sierra) or higher. Older versions of macOS are not supported in binary form, but R can be compiled from sources for such legacy OS versions. 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 3.6.3Update R On Mac
.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 required). They match the binaries used on the CRAN binary build machine and thus are recommended for use with CRAN R package binaries.R Programming Download Mac
- GTK+ 2.24.17 framework - 64-bit build of GTK+ 2.24.17, necessary for binary R packages that use GTK+ version 2 (such as RGtk2+). R 3.0.0 and higher, Snow Leopard build
Download: GTK_2.24.17-X11.pkg (ca. 41MB) - GTK+ 2.18.5 framework - universal build of GTK+ 2.18.5, necessary for binary R packages that use GTK+ version 2 (such as RGtk2+). R 2.10.0 - 2.15.3, Leopard build
Download: GTK_2.18.5-X11.pkg (ca. 58MB) -
RSwitch - a small GUI that allows you to switch between R versions quickly (if you have multiple versions of R framework installed).
Download: RSwitch-1.2.dmg (ca 67kB, universal, updated 2011/03/24 to support R 2.13.0 and up)
Sources: RSwitch-1.2.tar.gz (Xcode project and sources)
NOTE: Bob Rudis is maintaining a new version of a tool which has RSwitch functionality and more - see 3rd party RSwitch replacement (NOT related to R-Foundation or CRAN!).
R On Mac
More external libraries for R 4.0.0 and higher can be found in the /libs-4/ directory. For older versions see the /libs/ directory.