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. Download application launcher for drive for mac.
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.
Geeqie for mac os x. Aug 07, 2013.
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 4.0.2 'Taking Off Again' released on 2020/06/22
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
md5 R-4.0.2.pkg
in the Terminal application to print the MD5 checksum for the R-4.0.2.pkg image. On Mac OS X 10.7 and later you can also validate the signature using
pkgutil --check-signature R-4.0.2.pkg
md5 R-4.0.2.pkg
in the Terminal application to print the MD5 checksum for the R-4.0.2.pkg image. On Mac OS X 10.7 and later you can also validate the signature using
pkgutil --check-signature R-4.0.2.pkg
Latest release:
Home Download API Tutorials FAQ. Install RL on Mac OS. For Mac OS, we maintain a Homebrew Tap on GitHub. It contains the currently released version of the Robotics Library and, most importantly, all dependencies necessary for that version. The main advantages of the Tap are that the installation of RL cleanly works together with the Homebrew. R studio for mac free download - R Studio Data Recovery Software, R for Mac OS X, Mac Screen Recorder Studio, and many more programs. Create your own screencasts, professional quality tutorials. Sep 03, 2015.
R-4.0.2.pkg (notarized and signed) SHA1-hash: 7e4e1f0d407ccd475eeaeadd96a126ee9c83db3b (ca. 84MB) | R 4.0.2 binary for macOS 10.13 (High Sierra) and higher, signed and notarized package. Contains R 4.0.0 framework, R.app GUI 1.72 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. Dvd ripper mac os x free download. 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 |
Mac-GUI-1.72.tar.gz SHA1-hash: 27d145e55d147a2bd27ba791840a4801cdfe1713 | Sources for the R.app GUI 1.72 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.nn.pkg (signed) SHA1-hash: c462c9b1f9b45d778f05b8d9aa25a9123b3557c4 (ca. 77MB) | 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.pkg MD5-hash: 893ba010f303e666e19f86e4800f1fbf SHA1-hash: 5ae71b000b15805f95f38c08c45972d51ce3d027 (ca. 71MB) | 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-snowleopard.pkg MD5-hash: 58fe9d01314d9cb75ff80ccfb914fd65 SHA1-hash: be6e91db12bac22a324f0cb51c7efa9063ece0d0 (ca. 68MB) | 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! |
Subdirectories:
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: 2020/06/25, by Simon Urbanek
- Details
Why Learn R?
R is a programming language is widely used by data scientists and major corporations like Google, Airbnb, Facebook etc. for data analysis. This is a complete course on R for beginners and covers basics to advance topics like machine learning algorithm, linear regression, time series, statistical inference etc.What should I know?
Basic knowledge of statistical concept is a plus.How to Use R?
IntroductionTutorial | What is R Programming Language? Introduction & Basics |
Tutorial | How to Download & Install R, RStudio, Anaconda on Mac or Windows |
Tutorial | R Data Types, Arithmetic & Logical Operators with Example |
Tutorial | R Matrix Tutorial: Create, Print, add Column, Slice |
Tutorial | Factor in R: Categorical & Continuous Variables |
Tutorial | R Data Frame: Create, Append, Select, Subset |
Tutorial | List in R: Create, Select Elements with Example |
Tutorial | R Sort a Data Frame using Order() |
Tutorial | R Dplyr Tutorial: Data Manipulation(Join) & Cleaning(Spread) |
Tutorial | Merge Data Frames in R: Full and Partial Match |
Tutorial | Functions in R Programming (with Example) |
Tutorial | IF, ELSE, ELSE IF Statement in R |
Tutorial | For Loop in R with Examples for List and Matrix |
Tutorial | While Loop in R with Example |
Tutorial | apply(), lapply(), sapply(), tapply() Function in R with Examples |
Tutorial | Import Data into R: Read CSV, Excel, SPSS, Stata, SAS Files |
Tutorial | How to Replace Missing Values(NA) in R: na.omit & na.rm |
Tutorial | R Exporting Data to Excel, CSV, SAS, STATA, Text File |
Tutorial | Correlation in R: Pearson & Spearman with Matrix Example |
Tutorial | R Aggregate Function: Summarise & Group_by() Example |
Tutorial | R Select(), Filter(), Arrange(), Pipeline with Example |
Tutorial | Scatter Plot in R using ggplot2 (with Example) |
Tutorial | How to make Boxplot in R (with EXAMPLE) |
Tutorial | Bar Chart & Histogram in R (with Example) |
Tutorial | T Test in R: One Sample and Paired (with Example) |
Tutorial | R ANOVA Tutorial: One way & Two way (with Examples) |
Tutorial | R Simple, Multiple Linear and Stepwise Regression [with Example] |
Tutorial | Decision Tree in R with Example |
Tutorial | R Random Forest Tutorial with Example |
Tutorial | Generalized Linear Model (GLM) in R with Example |
Tutorial | K-means Clustering in R with Example |
Download R Mac Os
Tutorial | R Vs Python: What’s the Difference? |
Tutorial | SAS vs R: What's the Difference? |
Tutorial | Top 18 R Programming Interview Questions & Answers |
Tutorial | 17 Best R Programming Books |
Tutorial | R Programming Tutorial PDF |