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 Download
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.
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
RStudio is a productive and versatile user interface for the R programing language that can be run on macOS, Linux and Windows. R is a free and open-source programing language and environment for statistical computing and graphics that offers a numerous graphical and statistical techniques. I am trying to install Rstudio Server in Mac mini running on macOS Mojave. I followed this link to build Rstudio server from the source. I also looked at this link. I could successfully install it.
Latest release:
In this article, we'll describe briefly how to install R and RStudio on Windows, MAC OSX and Linux platforms. RStudio is an integrated development environment for R that makes using R easier. It includes a console, code editor and tools for plotting. To make things simple, we recommend to install first R and then RStudio. 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. RStudio's new solution for every professional data science team.
| R-4.0.3.pkg (notarized and signed) SHA1-hash: 8402f586aef1fdb12c6e34c73b286f87318fb1be (ca. 85MB) | 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 |
| Mac-GUI-1.73.tar.gz SHA1-hash: 7f4b1d050757ce78545bdeb9d178a69d13046aa1 | 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.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.
Rstudio For Mac 10.10.5
Last modified: 2020/10/10, by Simon Urbanek
| Developer(s) | RStudio, PBC |
|---|---|
| Initial release | 28 February 2011; 9 years ago[1] |
| Stable release | 1.2.5001 / 19 September 2019; 13 months ago[2] |
| Repository | |
| Written in | Java, C++, JavaScript[3] |
| Operating system | Ubuntu, Fedora, Red Hat Linux, openSUSE, macOS, Windows NT |
| Platform | IA-32, x86-64; Qt |
| License | Affero General Public License v3[4] |
| Website | www.rstudio.com |
RStudio is an integrated development environment (IDE) for R, a programming language for statistical computing and graphics. It is available in two formats: RStudio Desktop is a regular desktop application while RStudio Server runs on a remote server and allows accessing RStudio using a web browser.
Licensing model[edit]
The RStudio IDE is available with the GNU Affero General Public License version 3. The AGPL v3 is an open source license that guarantees the freedom to share the code.
RStudio Desktop and RStudio Server are both available in free and fee-based (commercial) editions. OS support depends on the format/edition of the IDE. Prepackaged distributions of RStudio Desktop are available for Windows, macOS, and Linux. RStudio Server and Server Pro run on Debian, Ubuntu, Red Hat Linux, CentOS, openSUSE and SLES.[5]
Overview and History[edit]
The RStudio IDE is partly written in the C++ programming language and uses the Qt framework for its graphical user interface.[6] The bigger percentage of the code is written in Java. JavaScript is also amongst the languages used.[7]
Work on the RStudio IDE started around December 2010,[8] and the first public beta version (v0.92) was officially announced in February 2011.[1]Version 1.0 was released on 1 November 2016.[9] Version 1.1 was released on 9 October 2017.[10]
In April 2018, RStudio PBC (at the time RStudio, Inc.) announced that it will provide operational and infrastructure support to Ursa Labs[11] in support of the Labs focus on building a new data science runtime powered by Apache Arrow.[12]
In April 2019, RStudio PBC (at the time RStudio, Inc.) released a new product, the RStudio Job Launcher. The Job Launcher is an adjunct to RStudio Server.[13] The launcher provides the ability to start processes within various batch processing systems (e.g. Slurm) and container orchestration platforms (e.g. Kubernetes). This function is only available in RStudio Server Pro (fee-based application).
Packages[edit]
In addition to the RStudio IDE, RStudio PBC and its employees develop, maintain, and promote a number of R packages.[14] These include:
R And R Studio
- Tidyverse – R packages for data science, including ggplot2, dplyr, tidyr, and purrr
- Shiny – An interactive web technology
- RMarkdown – Markdown documents make it easy for users to mix text with code of different languages, most commonly R (programming language). However, the platform supports mixing R with Python (programming language), shell scripts, SQL, Stan (software), JavaScript, CSS, Julia (programming language), C (programming language), Fortran, and other languages in the same RMarkdown document.[15]
- flexdashboard - publish a group of related data visualizations as a dashboard
- TensorFlow - open-source software library for Machine Intelligence. The R interface to TensorFlow lets you work productively using the high-level Keras and Estimator APIs and the core TensorFlow API
- Tidymodels - install and load tidyverse packages related to modeling and analysis
- Sparklyr - provides bindings to Spark's distributed machine learning library. Together with sparklyr's dplyr interface, you can easily create and tune machine learning workflows on Spark, orchestrated entirely within R
- Stringr - consistent, simple and easy-to-use set of wrappers around the 'stringi' package
- Reticulate - provides a comprehensive set of tools for interoperability between Python and R.
- Plumber - enables you to convert your existing R code into web APIs by merely adding a couple of special comments.
- knitr – Dynamic reports combining R, TeX, Markdown & HTML
- packrat – Package dependency tool
- devtools – Package development tool as well as helps to install R-packages from GitHub.
- sf – supports for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations.[16]
Addins[edit]
The RStudio IDE provides a mechanism for executing R functions interactively from within the IDE through the Addins menu.[17] This enables packages to include Graphical User Interfaces (GUIs) for increased accessibility. Popular packages that use this feature include:
- bookdown – a knitr extension to create books
- colourpicker – a graphical tool to pick colours for plots
- datasets.load – a graphical tool to search and load datasets
- googleAuthR – Authenticate with Google APIs
Development[edit]
The RStudio IDE is developed by RStudio, PBC, a commercial enterprise founded by JJ Allaire,[18] creator of the programming language ColdFusion. RStudio, PBC has no formal connection to the R Foundation, a not-for-profit organization located in Vienna, Austria,[19] which is responsible for overseeing development of the R environment for statistical computing.
See also[edit]
Rstudio For Mac 10.12
Licensing model[edit]
The RStudio IDE is available with the GNU Affero General Public License version 3. The AGPL v3 is an open source license that guarantees the freedom to share the code.
RStudio Desktop and RStudio Server are both available in free and fee-based (commercial) editions. OS support depends on the format/edition of the IDE. Prepackaged distributions of RStudio Desktop are available for Windows, macOS, and Linux. RStudio Server and Server Pro run on Debian, Ubuntu, Red Hat Linux, CentOS, openSUSE and SLES.[5]
Overview and History[edit]
The RStudio IDE is partly written in the C++ programming language and uses the Qt framework for its graphical user interface.[6] The bigger percentage of the code is written in Java. JavaScript is also amongst the languages used.[7]
Work on the RStudio IDE started around December 2010,[8] and the first public beta version (v0.92) was officially announced in February 2011.[1]Version 1.0 was released on 1 November 2016.[9] Version 1.1 was released on 9 October 2017.[10]
In April 2018, RStudio PBC (at the time RStudio, Inc.) announced that it will provide operational and infrastructure support to Ursa Labs[11] in support of the Labs focus on building a new data science runtime powered by Apache Arrow.[12]
In April 2019, RStudio PBC (at the time RStudio, Inc.) released a new product, the RStudio Job Launcher. The Job Launcher is an adjunct to RStudio Server.[13] The launcher provides the ability to start processes within various batch processing systems (e.g. Slurm) and container orchestration platforms (e.g. Kubernetes). This function is only available in RStudio Server Pro (fee-based application).
Packages[edit]
In addition to the RStudio IDE, RStudio PBC and its employees develop, maintain, and promote a number of R packages.[14] These include:
R And R Studio
- Tidyverse – R packages for data science, including ggplot2, dplyr, tidyr, and purrr
- Shiny – An interactive web technology
- RMarkdown – Markdown documents make it easy for users to mix text with code of different languages, most commonly R (programming language). However, the platform supports mixing R with Python (programming language), shell scripts, SQL, Stan (software), JavaScript, CSS, Julia (programming language), C (programming language), Fortran, and other languages in the same RMarkdown document.[15]
- flexdashboard - publish a group of related data visualizations as a dashboard
- TensorFlow - open-source software library for Machine Intelligence. The R interface to TensorFlow lets you work productively using the high-level Keras and Estimator APIs and the core TensorFlow API
- Tidymodels - install and load tidyverse packages related to modeling and analysis
- Sparklyr - provides bindings to Spark's distributed machine learning library. Together with sparklyr's dplyr interface, you can easily create and tune machine learning workflows on Spark, orchestrated entirely within R
- Stringr - consistent, simple and easy-to-use set of wrappers around the 'stringi' package
- Reticulate - provides a comprehensive set of tools for interoperability between Python and R.
- Plumber - enables you to convert your existing R code into web APIs by merely adding a couple of special comments.
- knitr – Dynamic reports combining R, TeX, Markdown & HTML
- packrat – Package dependency tool
- devtools – Package development tool as well as helps to install R-packages from GitHub.
- sf – supports for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations.[16]
Addins[edit]
The RStudio IDE provides a mechanism for executing R functions interactively from within the IDE through the Addins menu.[17] This enables packages to include Graphical User Interfaces (GUIs) for increased accessibility. Popular packages that use this feature include:
- bookdown – a knitr extension to create books
- colourpicker – a graphical tool to pick colours for plots
- datasets.load – a graphical tool to search and load datasets
- googleAuthR – Authenticate with Google APIs
Development[edit]
The RStudio IDE is developed by RStudio, PBC, a commercial enterprise founded by JJ Allaire,[18] creator of the programming language ColdFusion. RStudio, PBC has no formal connection to the R Foundation, a not-for-profit organization located in Vienna, Austria,[19] which is responsible for overseeing development of the R environment for statistical computing.
See also[edit]
Rstudio For Mac 10.12
References[edit]
- ^ ab'RStudio, new open-source IDE for R | RStudio Blog'. Blog.rstudio.org. Retrieved 2015-05-01.
- ^'RStudio Release Notes'. rstudio.com. Retrieved 13 Oct 2019.
- ^'rstudio/rstudio'. GitHub. RStudio. Retrieved 18 December 2016.
- ^Pylvainen, Ian (2016-03-24). 'What license is RStudio available under? – RStudio'. rstudio.com. Retrieved 2018-05-25.
- ^'RStudio'. rstudio.com. Retrieved 2 December 2016.
- ^Verzani, John (23 September 2011). Getting Started with RStudio. O'Reilly Media, Inc. p. 4. ISBN9781449309039.
- ^'rstudio/rstudio'. GitHub. Retrieved 2018-09-13.
- ^'portable download of java dependencies · rstudio/rstudio@484cb88 · GitHub'. Github.com. 2010-12-07. Retrieved 2015-05-01.
- ^'Announcing RStudio v1.0!'. RStudio Blog. 1 November 2016.
- ^'RStudio v1.1 Released'. RStudio Blog. 9 October 2017.
- ^'About Ursa Labs'. Retrieved 2019-08-13.
- ^Allaire, JJ. 'Arrow and beyond: Collaborating on next generation tools for open source data science'. RStudio. Retrieved 13 May 2018.
- ^'RStudio 1.2 Release'.
- ^'Inspired by R and its community'. RStudio. Retrieved 13 May 2018.
- ^Yihui Xie; Joseph J. Allaire; Garrett Grolemund (2019), R Markdown: The Definitive Guide, Chapman & Hall, WikidataQ76441281.
- ^Pebesma, Edzer (2018). 'Simple Features for R: Standardized Support for Spatial Vector Data'. The R Journal. 10: 439–446. doi:10.32614/RJ-2018-009.
- ^'RStudio Addins'. RStudio. Retrieved 2018-09-16.
- ^'Why Rstudio?'. Rstudio.com. Retrieved 2015-12-15.
- ^''Statutes of 'The R Foundation for Statistical Computing'''(PDF). The R Foundation. Retrieved 2019-08-12.
Rstudio For Mac Catalina
External links[edit]
R Studio For Mac Download
- Official website
Rstudio For Mac 10.10
