Download R 3.4.4 for Windows (62 megabytes, 32/64 bit). Please see the R FAQ for general information about R and the R Windows FAQ for Windows-specific information.
- R-Studio for Mac run in the demo mode allows you to evaluate how the utility recovers lost files. The only limitation is you can not recover files larger than 256KB in the demo mode. R-Studio for Mac is registered on on-the-fly and no reinstallation required.
- Does R run under my version of Windows? How do I update packages in my previous version of R? Should I run 32-bit or 64-bit R? Please see the R FAQ for general information about R and the R Windows FAQ for Windows-specific information. Other builds. Patches to this release are incorporated in the r-patched snapshot build.
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.
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
| Build | OS | Date | Status | Download |
|---|---|---|---|---|
| R-3.4-branch 3.4.4 Patched (2018/03/19, r75161) | mavericks | Oct 16 23:30 | x86_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-capitan | Dec 12 11:18 | x86_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 3.6.3 Patched (2020/03/11, r77957) | el-capitan | Mar 13 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-devel 4.0.0 Under development (unstable) (2020/03/13, r77957) | el-capitan | Mar 13 23:30 | x86_64: OK (log) Package: OK | R-devel-el-capitan-sa-x86_64.tar.gz (66Mb) R-devel-el-capitan-signed.pkg (76Mb, 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 tcltk 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
| Version | Build | Download |
|---|---|---|
| Mac OS X GUI rev. 7520 for R 3.4.x | mavericks-Debug.dmg | R-GUI-7520-3.4-mavericks-Debug.dmg |
| Mac OS X GUI rev. 7520 for R 3.4.x | mavericks-Release.dmg | R-GUI-7520-3.4-mavericks-Release.dmg |
| Mac OS X GUI rev. 7649 for R 3.5.x | el-capitan-Debug.dmg | R-GUI-7649-3.5-el-capitan-Debug.dmg |
| Mac OS X GUI rev. 7649 for R 3.5.x | el-capitan-Release.dmg | R-GUI-7649-3.5-el-capitan-Release.dmg |
| 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. 7782 for R 4.0.x | el-capitan-Debug.dmg | R-GUI-7782-4.0-el-capitan-Debug.dmg |
| Mac OS X GUI rev. 7782 for R 4.0.x | el-capitan-Release.dmg | R-GUI-7782-4.0-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 --arch=ppc CMD INSTALL --libs-only foo_0.1.tar.gz
R --arch=x86_64 CMD INSTALL --libs-only foo_0.1.tar.gz
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)
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!).
More external libraries and older versions can be found in the /libs/ directory.
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.Latest Version:
R-Studio 8.12 build 175721 LATEST
Requirements:
Windows XP / Vista / Windows 7 / Windows 8 / Windows 10
Author / Product:
R-Tools Technology Inc. / R-Studio
Old Versions:
Filename:
RStudio8.exe
Details:
R-Studio 2020 full offline installer setup for PC 32bit/64bit
Download R Studio 3.4.4 For Mac Torrent
In addition to being a full-featured data recovery utility, R Studio also includes: An advanced RAID reconstruction module. A feature-rich text/hexadecimal editor. An entire advanced disk copying/imaging module in one single piece of software, which makes R-Studio your ideal complete solution for creating a data recovery workstation.Empowered by the new unique data recovery technologies, RStudio is the most comprehensive data recovery solution for recovery files from NTFS, NTFS5, ReFS, FAT12/16/32, exFAT, HFS/HFS+ and APFS (Macintosh), Little and Big Endian variants of UFS1/UFS2 (FreeBSD/OpenBSD/NetBSD/Solaris) and Ext2/Ext3/Ext4 FS (Linux) partitions. It also uses raw file recovery (scan for known file types) for heavily damaged or unknown file systems. It functions on local and network disks, even if such partitions are formatted, damaged or deleted. Flexible parameter settings give you absolute control over data recovery.
Download R Studio 3.4.4 For Mac Windows 7
Features and HighlightsDownload R Studio 3.4.4 For Mac Computer
- Standard 'Windows Explorer' - style interface.
- Data recovery over Network. Files can be recovered on network computers running Win95/98/ME/NT/2000/XP/2003/Vista, Linux and UNIX.
- Supported file systems: FAT12, FAT16, FAT32, NTFS, NTFS5 (created or updated by Win2000/XP/2003/Vista), Ext2FS/Ext3FS (Linux), UFS1/UFS2 (FreeBSD/OpenBSD/NetBSD).
- Recognition and parsing Dynamic (Windows 2000/XP/2003/Vista/7/8/Windows 10), Basic and BSD (UNIX) partitions layout schema.
- Damaged RAID recovery. If OS cannot recognize your RAID, you can create a virtual RAID from its components. Such virtual RAID can be processed like a real one.
- Creates IMAGE FILES for an entire Hard Disk, Partition or its part. Such image files can be processed like regular disks.
- Data recovery on damaged or deleted partitions, encrypted files (NTFS 5), alternative data streams (NTFS, NTFS 5).
- FDISK or other disk utilities have been run;
- VIRUS has invaded; FAT is damaged; MBR is destroyed.
- Recognizes localized names.
- Recovered files can be saved on any (including network) disks accessible by the host operating system.
- File or disk content can be viewed and edited in the hexadecimal editor. The editor supports NTFS file attribute editing.
Download Rstudio 3.4.4 For Mac
Note: Limited functionality in demo version.
Also Available: Download R-Studio for Mac
