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R Software For Mac

1.1 How many versions of R for Mac OS X? There is only one version of R for Mac OS X. However, R on Mac OS X can be used either on the command-line as on other Unix systems, or via the R.APP GUI (see R.app).

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.

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.

  • Though Sophos does offer a good free version of its software, Avast Free Mac Security  edges it out as the best free antivirus software for macOS. In security lab tests, Avast detected 99.9 percent.
  • Whatever the older Macintosh computer is, to make it useful nowadays you’d likely want to find and download some old Mac software for it. This post will aggregate a collection of links and resources for finding and downloading old Mac software, including old Mac system software, old Macintosh applications, and more, for everything from older Intel Macs, to PowerPC Macs, to 68040 and 030 Macs.
  • Statistical applications don’t come cheap so we’ve hunted down the best free statistical software for Mac for those on a budget. Most statistical software for Mac comes with a hefty price tag although there in recent times, there has been the emergence of more affordable, user-friendly software such as Wizard.
  • RStudio is an active member of the R community. We believe free and open source data analysis software is a foundation for innovative and important work in science, education, and industry. The many customers who value our professional software capabilities help us contribute to this community. Visit our Customer Stories page to learn more.

In addition to this nightly generated page, visit the Building R page for the most recent tips.

Index

Universal nightly builds for Mac OS X (10.6+ and 10.9+)

R framework

BuildOSDateStatusDownload
R-3.4-branch
3.4.4 Patched
(2018/03/19, r75161)
mavericksOct 16 23:30x86_64: OK (log)
Package: OK

R-3.4-branch-mavericks-sa-x86_64.tar.gz (65Mb)
R-3.4-branch-mavericks-signed.pkg (75Mb, installer incl. GUI)
R-3.5-branch
3.5.3 Patched
(2019/03/11, r77192)
el-capitanNov 3 23:30x86_64: OK (log)
Package: OK

R-3.5-branch-el-capitan-sa-x86_64.tar.gz (64Mb)
R-3.5-branch-el-capitan-signed.pkg (74Mb, installer incl. GUI)
R-3.6-branch
3.6.1 Patched
(2019/09/23, r77210)
el-capitanNov 3 23:30x86_64: OK (log)
Package: OK

R-3.6-branch-el-capitan-sa-x86_64.tar.gz (66Mb)
R-3.6-branch-el-capitan-signed.pkg (76Mb, installer incl. GUI)
R-devel
4.0.0 Under development (unstable)
(2019/11/03, r77362)
el-capitanNov 3 23:30x86_64: OK (log)
Package: OK

R-devel-el-capitan-sa-x86_64.tar.gz (65Mb)
R-devel-el-capitan-signed.pkg (75Mb, installer incl. GUI)

Requirements: Mac OS X 10.6 or higher for the Snow Leopard build, Mac OS X 10.9 or higher for the Mavericks build. For additional tools necessary for compiling packages, see below. We use Xcode 4.2 but Xcode 3.2 and higher should work as well. Note that you will need Command Line Tools component of Xcode on Mac OS X 10.7 or higher. The Mavericks build uses Xcode 5.

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). Alternatively you can use the tar-ball (*.tar.gz) which must be unpacked in the root (e.g. tar fvxz R*.tar.gz -C /), but doesn't contain the GUI (see below for a separate download).

NOTE: The installer for the Snow Leopard build of R also includes Tcl/Tk package which will install in /usr/local. It is optional (only needed for the tcltkNetgear genie software for mac. R package) and can be unchecked at installation time.

Starting with R 3.0.0 the builds are single-arch 64-bit Intel builds for OS X 10.6 and higher.

Mac OS X GUI

VersionBuildDownload
Mac OS X GUI rev. 7520 for R 3.4.xmavericks-Debug.dmgR-GUI-7520-3.4-mavericks-Debug.dmg
Mac OS X GUI rev. 7520 for R 3.4.xmavericks-Release.dmgR-GUI-7520-3.4-mavericks-Release.dmg
Mac OS X GUI rev. 7649 for R 3.5.xel-capitan-Debug.dmgR-GUI-7649-3.5-el-capitan-Debug.dmg
Mac OS X GUI rev. 7649 for R 3.5.xel-capitan-Release.dmgR-GUI-7649-3.5-el-capitan-Release.dmg
Mac OS X GUI rev. 7654 for R 3.6.xel-capitan-Debug.dmgR-GUI-7654-3.6-el-capitan-Debug.dmg
Mac OS X GUI rev. 7654 for R 3.6.xel-capitan-Release.dmgR-GUI-7654-3.6-el-capitan-Release.dmg
Mac OS X GUI rev. 7632 for R 3.6.xel-capitan-Debug.dmgR-GUI-7632-3.6-el-capitan-Debug.dmg
Mac OS X GUI rev. 7632 for R 3.6.xel-capitan-Release.dmgR-GUI-7632-3.6-el-capitan-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 version 3.1 or higher and a universal Fortran compiler. For details and download, please read the Tools page. The R 3.0.0 and higerh binaries are built using Xcode 4.2.

Building universal binaries

Starting with R 2.5.0 CRAN binaries use Apple's 10.4u SDK allowing universal builds on both PowerPC and Intel Macs. Building universal R is done by compliling two R binaries and setting r_arch parameter to ppc and i386 respectively, along with the proper compiler flags. Those two builds can then be installed into the same framework location, R install process merges them correspondingly.

To build an universal package that contains a configure script, it is necessary to run R CMD twice. Assuming you have a source package foo_0.1.tar.gz, this is how you install it universally:

R CMD INSTALL foo_0.1.tar.gz
R --arch=ppc CMD INSTALL --libs-only foo_0.1.tar.gz
R --arch=x86_64 CMD INSTALL --libs-only foo_0.1.tar.gz
(Note: if the package doesn't contain a configure script, regular single-step installation actually works). You can create a binary package by packing such installed package into a tar ball. The resulting binary will work on both PowerPC and Intel-based Macs.

Legacy R

The current build supports only Mac OS X 10.6 (Snow Leopard) or higher. Older versions of OS X 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 and last release for Mac OS X 10.5 (Leopard) was R 2.15.3.

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 required). They match the binaries used on the CRAN binary build machine and thus are recommended for use with CRAN R package binaries.
  • 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)
    Download: RSwitch-1.1.dmg (ca 120kB, universal, updated 2006/09/22)
    Sources: RSwitch-1.2.tar.gz (Xcode project and sources)
    Sources: RSwitch-1.1.tar.gz (Xcode project and sources)

More external libraries and older versions can be found in the /libs/ directory.

R Software For Mac

Disclaimer

All software is provided 'as is' and any express or implied warranties, including, but but not limited to the implied warranties of merchantability and fitness for a particular purpose are disclaimed. In no event shall AT&T, the publisher, copyright owner or contributors be liable for any direct, indirect, incidental,special, exemplary, or consequential damages (including, but not limited to, procurement of substitute goods or services; loss of use, data or profits; or business interruption) however caused and on any theory of liability, whether in contract, strict liability, or tort (including negligence or otherwise) arising in any way out of the use of this software, even if advised of the possibility of such damage.

Choose Your Version

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.

Learn More about RStudio features

RStudio’s new solution for every professional data science team. RStudio Team includes RStudio Server Pro, RStudio Connect and RStudio Package Manager.

RStudio Desktop

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RStudio Desktop

Commercial License

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RStudio Server

Open Source License

Free

RStudio Server Pro

Commercial License

$4,975

/year
(5 Named Users)

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Integrated Tools for R
Priority Support
Access via Web Browser
Enterprise Security
Project Sharing
Manage Multiple R Sessions & Versions
Admin Dashboard
Load Balancing
Auditing and Monitoring
Data Connectivity
Launcher
Tutorial API
License AGPL Commercial AGPL Commercial

RStudio Desktop

Open Source License

Free

RStudio Desktop

Change the print quality to 144dpi or lower. Choose the destination and click 'Save'. Choose the Storage DestinationOnce 'Print' is clicked, the 'Save As' window will pop up. Tips and Tricks to Optimize PDF FilesTip 1. Compressor for mac os. Click on 'OK' to close the windows.Step 2.

Commercial License

$995

/year

RStudio Server

Open Source License

Free

RStudio Server Pro

Commercial License

$4,975

/year
(5 Named Users)

DownloadBuyDownloadBuy

Evaluation Learn more

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H&r Block Business Tax Software For Mac

- Release Notes

RStudio requires R 3.0.1+. If you don’t already have R, download it here.

Linux users may need to import RStudio’s public code-signing key prior to installation, depending on the operating system’s security policy.

R For Mac Os X

RStudio 1.2 requires a 64-bit operating system, and works exclusively with the 64 bit version of R. If you are on a 32 bit system or need the 32 bit version of R, you can use an older version of RStudio.

R Software For Mac Yosemite


Installers for Supported Platforms

InstallersSizeDateMD5
RStudio 1.2.5019 - Ubuntu 18/Debian 10 (64-bit)106.04 MB2019-11-01a6c9af3d8b1621eb155d23c879c1a75a
RStudio 1.2.5019 - Debian 9 (64-bit)106.39 MB2019-11-01bc7b0b25b41e39fb6f1aefa74163a133
RStudio 1.2.5019 - Fedora 28/Red Hat 8 (64-bit)120.89 MB2019-11-012291b1befb02622b3aa02c43638ee5c2
RStudio 1.2.5019 - macOS 10.12+ (64-bit)126.88 MB2019-11-0155738355277e8ec660e628acaf2a401b
RStudio 1.2.5019 - SLES/OpenSUSE 12 (64-bit)99.04 MB2019-11-013bcbf47f40944cc4a5ef4f6fb42319c1
RStudio 1.2.5019 - OpenSUSE 15 (64-bit)107.09 MB2019-11-0129d07b198b7aac92356f8487911efbfa
RStudio 1.2.5019 - Fedora 19/Red Hat 7 (64-bit)120.26 MB2019-11-01dab1cb5f0ed39f5bcf0c795e2938fa94
RStudio 1.2.5019 - Ubuntu 14/Debian 8 (64-bit)96.93 MB2019-11-01f86811fce50b48850fed259d6ce7ef13
RStudio 1.2.5019 - Windows 10/8/7 (64-bit)149.82 MB2019-11-014d6521a9b89d70c3bf50414c8b6708f2
RStudio 1.2.5019 - Ubuntu 16 (64-bit)104.91 MB2019-11-0167d5a2c255f2bc1a171c7e417853102c

Zip/Tarballs

Zip/tar archivesSizeDateMD5
RStudio 1.2.5019 - Ubuntu 18/Debian 10 (64-bit)155.84 MB2019-11-0141224403500a02b17d9b6c5d16f9192a
RStudio 1.2.5019 - Debian 9 (64-bit)156.11 MB2019-11-0151313553a3dd640f02f87f20ac4e05bc
RStudio 1.2.5019 - Fedora 19/Red Hat 7 (64-bit)155.24 MB2019-11-019905fbd3401ef649a5c8aa52a832d31e
RStudio 1.2.5019 - Ubuntu 14/Debian 8 (64-bit)144.31 MB2019-11-01df24446c667c7f804469647df99b0f24
RStudio 1.2.5019 - Windows 10/8/7 (64-bit)219.02 MB2019-11-01154820c22ce8da4b8e30cd52eaebb953

Rstudio Software For Mac

Source Code

A tarball containing source code for RStudio v1.1.463 can be downloaded from here.