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- How To Download R Studio For Mac
- Download And Install R Studio
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.
R-Studio can recover files from Windows, Linux, Mac, Solaris, and other partition types. R-Studio Emergency is a tool that allows you to startup a computer with a damaged startup disk and recover data stored on its hard drives. Download R Studio Mac Free Download Rstudio 3.0.3 For Mac 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.
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 4.0.3 'Bunny-Wunnies Freak Out' released on 2020/10/10
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
openssl sha1 R-4.0.3.pkg
in the Terminal application to print the SHA1 checksum for the R-4.0.3.pkg image. On Mac OS X 10.7 and later you can also validate the signature using
pkgutil --check-signature R-4.0.3.pkg
|R-4.0.3.pkg (notarized and signed)|
|R 4.0.3 binary for macOS 10.13 (High Sierra) and higher, signed and notarized package. Contains R 4.0.3 framework, R.app GUI 1.73 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 6.7. 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.|
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 Xcode 10.1 and GNU Fortran 8.2. If you wish to compile R packages from sources, you will need to download and GNU Fortran 8.2 - see the tools directory.
|NEWS (for Mac GUI)||News features and changes in the R.app Mac GUI|
|Sources for the R.app GUI 1.73 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 3.6.3 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. |
|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 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!
The new R.app Cocoa GUI has been written by Simon Urbanek and Stefano Iacus with contributions from many developers and translators world-wide, see 'About R' in the GUI.
|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).
|base||Binaries of R builds for macOS 10.13 or higher (High Sierra)|
|contrib||Binaries of package builds for macOS 10.13 or higher (High Sierra)|
|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.
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.
Last modified: 2020/10/10, by Simon Urbanek
R is a programming language and open-source, cross-platform software environment for graphics and computing. Developed in 1995, it has become one of the main languages used for data science and machine learning today.
As of April 2020, R ranks 10th in the TIOBE and 7th in PYPL indexes. These are lists of most in-demand programming languages. R is popular not only among academics but global tech giants like Google and Microsoft as well.
In this article, you’ll find the easiest way to download R for Mac. We’ll also dig into everything you need to know to install RStudio, which is an integrated development environment (IDE). It makes using R much easier because of its user-friendly interface and a bunch of customization options. Let's get started!
R language is named after the first names of its developers — Ross Ihaka and Robert Gentleman.
How to prepare your Mac for R installation
The latest release R 3.6.3 runs smoothly on OS X 10.11 (El Capitan) and higher. Apple also notarizes this version, so it's fully compatible with Catalina.
Before installation, make sure you have at least 500 MB of free storage space on your Mac. To check it, go to the Apple menu in the top-left corner and choose About This Mac. Then, head over to the Storage tab.
If your space is a bit cluttered with files and data, you should consider clearing your hard drive before installing R.
All the junk files you have on your computer not only occupy gigabytes of space but also overload the CPU a lot. Heavy junk clusters can hide deeply in your system, so getting a little help with cleanup is the way to go.
CleanMyMac X by MacPaw is one of my favorite tools as it helps you manage your storage, maintain your Mac’s performance, and protect it from malware, all at once. Here's how to use it:
- Download and install CleanMyMac X — get your trial version here.
- Launch it and run the Smart Scan by pressing Scan.
- Once you see results, press Run to clear the junk.
You can also check out the Large & Old Files tab to remove the heaviest files that have been piling up on your Mac way too long. Now, your Mac is ready for installing R.
Installing R on your Mac step-by-step
The easiest way is to install R through the Comprehensive R Archive Network (CRAN). Note that CRAN doesn’t have Mac OS X systems and can’t check these binaries for viruses. So they recommend using standard security precautions.
Even though severe malware attacks are not so frequent on macOS, regular checkups are essential. Luckily, CleanMyMac X includes a Malware Removal tool to protect your Mac from hazards.
To check your Mac for malicious programs, including viruses and worms:
- Launch CleanMyMac X.
- Navigate to Malware Removal.
- Hit Scan to let the app analyze your system.
- If it finds something malicious, press Remove to get rid of it.
Now that your Mac is protected, it’s time to visit the CRAN download page and grab your copy of R. It’s totally free. Here are some steps to follow:
- Open your browser and go to cran.r-project.org.
- Click Download R for (Mac) OS X.
- Click on the first link under the Latest Release. As for April 2020, the newest version is R-3.6.3.pkg.
- Double-click the .PKG file from the Downloads folder to open the package installer.
- Follow the on-screen instructions to proceed with the installation. Accept the default settings.
- Once done, move the installer to the Bin.
- Finally, click Close. Congratulations! Now you have R on your Mac.
How to download RStudio for Mac
How To Download R Studio For Mac
To run RStudio on your Mac, you should install R first. RStudio will show you a warning message if it detects that R hasn’t been installed yet.
- Visit rstudio.com and go to Products.
- Choose RStudio, and press Download RStudio Desktop.
- Press Download RStudio for Mac.
- Open the .DMG file from your Downloads folder.
- Drag and drop the RStudio icon to the Applications folder.
Done! RStudio is now installed on your computer.
Download And Install R Studio
R and RStudio are great tools to explore and analyze the data. I hope this detailed guide helped you dive into the world of R programming on your Mac. Keep your machine in good shape to make the most of it. Declutter and optimize your Mac performance once in a while. CleanMyMac X can help you with that in a few clicks. Thanks for reading!