I'm new to programming in R so I apologise in advance if I seem naive. I want to be able to do some principal components analysis on my data in 3D. I read that the 'pca3d' function is good for this, but I need to download the 'rgl' library. When I use install.packages it asks. Click the link to download R. This puts the win.exe file in your Windows computer, or the.pkg file in your Mac. In either case, follow the usual installation procedures. When installation is complete, Windows users see an R icon on their desktop, Mac users see it in their Application folder. Both URLs provides helpful links to FAQs. 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.
R is a computer language. It’s a tool for doing the computation and number-crunching that set the stage for statistical analysis and decision-making. RStudio is an open source integrated development environment (IDE) for creating and running R code. It’s available in versions for Windows, Mac, and Linux. Although you don’t need an IDE in order to work with R, RStudio makes life a lot easier.
Download R from the Comprehensive R Archive Network (CRAN). In your browser, type this address if you work in Windows:
cran.r-project.org/bin/windows/base/
Type this one if you work on the Mac:
cran.r-project.org/bin/macosx/
Click the link to download R. This puts the win.exe file in your Windows computer, or the .pkg file in your Mac. In either case, follow the usual installation procedures. When installation is complete, Windows users see an R icon on their desktop, Mac users see it in their Application folder.
Both URLs provides helpful links to FAQs. The Windows-related URL also links to “Installation and other instructions.”
Now for RStudio.
Click the link for the installer for your computer, and again follow the usual installation procedures.
After the RStudio installation is finished, click the RStudio icon to open the window shown.
If you already have an older version of RStudio and you go through this installation procedure, the install updates to the latest version (and you don’t have to uninstall the older version).
The large Console pane on the left runs R code. One way to run R code is to type it directly into the Console pane.
The other two panes provide helpful information as you work with R. The Environment and History pane is in the upper right. The Environment tab keeps track of the things you create (which R calls objects) as you work with R. The History tab tracks R code that you enter.
Get used to the word object. Everything in R is an object.
The Files, Plots, Packages, and Help tabs are in the pane in the lower right. The Files tab shows files you create. The Plots tab holds graphs you create from your data. The Packages tab shows add-ons (called packages) you downloaded as part of the R installation. Bear in mind that “downloaded” doesn’t mean “ready to use.” To use a package’s capabilities, one more step is necessary, and you’ll want to use packages.
This figure shows the Packages tab. The packages are in either the user library (which you can see in the figure) or the system library (which you have to scroll down to).
The Help tab, shown here, provides links to a wealth of information about R and RStudio.
To tap into the full power of RStudio as an IDE, click the larger of the two icons in the upper right corner of the Console pane. That changes the appearance of RStudio so that it looks like this:
The top of the Console pane relocates to the lower left. The new pane in the upper left is the Scripts pane. You type and edit code in the Scripts pane and press Ctrl+R (Command+Enter on the Mac), and then the code executes in the Console pane.
Ctrl+Enter works just like Ctrl+R. You can also select Code → Run Selected Line(s).
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.
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 Patched (2020/10/13, r79336) | high-sierra | Oct 13 21:41 | x86_64: OK (log) Package: OK | R-4.0-branch.tar.gz (73Mb) R-4.0-branch.pkg (85Mb, installer incl. GUI) |
| R-devel 4.1.0 Under development (unstable) (2020/10/13, r79336) | high-sierra | Oct 13 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. 7893 for R 4.0.x | high-sierra-Debug.dmg | R-GUI-7893-4.0-high-sierra-Debug.dmg |
| Mac OS X GUI rev. 7893 for R 4.1.x | high-sierra-Debug.dmg | R-GUI-7893-4.1-high-sierra-Debug.dmg |
| Mac OS X GUI rev. 7893 for R 4.1.x | high-sierra-Release.dmg | R-GUI-7893-4.1-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.Best Package Manager For Mac
Legacy R
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 3.6.3.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 for R 4.0.0 and higher can be found in the /libs-4/ directory. For older versions see the /libs/ directory.