Basically we need the native Mac OS X compiler tools so that we can generate the AVR compiler tools. Install OSX-AVR. There's finally a good/fast way of installing all these tools under Mac OS X PPC or i386! First, download the OSX-AVR packge for PPC (older macs). Page 1 of 4 Adaptive Link Rate (ALR) for Full-Duplex Ethernet Pre-Proposal for an IEEE 802.3 Study Group January 9, 2006 Summary: There is a substantial energy savings potential from implementation of a standard method for quickly changing link data rates in response to traffic levels for both 1. Added IDT92HD73E1X5 layout-id 15 for HP Envy h8 1425eg by MacPeet; Fix Headphone NodeID ALC269VC layout-id 22 Veritron Z4640G by Andres ZeroCross.
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.
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.
- In the Mail app on your Mac, choose Mail Preferences, click Accounts, select an account, then click Server Settings. If necessary, deselect “Automatically manage connection settings.” Select Use TLS/SSL. The port number is automatically changed; edit the number, if necessary, to match the information supplied by your provider.
- The Adobe® AIR® technology enables developers to create and package cross platform games/apps for major platforms like iOS, Android, Windows and Mac OS. Build stunning, blazing-fast cinematic 2D and 3D games for the browser, iOS, and Android™. Use fully accelerated GPU rendering, which leverages.
Mac app store apps won't download. 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
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
|R-4.0.2.pkg (notarized and signed)|
|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.|
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|
|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 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 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 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!
Air Max 97The new R.app Cocoa GUI has been written by Simon Urbanek and Stefano Iacus with contributions from many developers and translators world-wide, see 'About R' in the GUI.
|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
Scientific data analysis software that offers you the possibility to apply various manipulation techniques in order to extract statistical data, and more
What's new in Past 4.02:
- Google Maps replaced with Open Street Maps (because free limit on Google Maps calls was exceeded).
- Added compositional data transforms (ALR, CLR, ILR).
- Changed the color selector for rows.
- Confidence interval for forecast added to bivariate regression.
Past packs together numerous data manipulation techniques that prove to be very useful when analyzing scientific data. The utility can import information from text files and enables you to run various tools in order to produce relevant statistical data or graphic illustrations.
Simple yet powerful scientific data analysis solution
The Past user interface is represented by a single window where you can visualize the imported data. Note that Past can extract information from text files, and you get to decide how it should be organized.
Moreover, Past also enables you to remove the rows or columns that contain irrelevant information, to add new ones, or to simply reorganize the information.
Via the app’s top toolbar you can choose to see the row or columns attributes, to change the selection mode, to activate the bands function and see the rows better, and more.
Manipulate the available information and extract relevant statistical data
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Most of the Past data analysis capabilities are organized into status bar menus, according to their purpose. The utility can be employed to generate various types of statistics, to plot graphs, to perform time or spacial analysis, and so on.
For your convenience, Past comes with a detailed manual that can be accessed online and contains extensive information about what you can achieve using each tool.
Past enables you to save the original data into .DAT files while the resulting graphs and statistics can be copied to the clipboard and imported in third party apps for further editing. The utility also allows you to send the results directly to the printer.
Feature packed analysis tools designed to work with scientific data
Past comes with a straightforward approach when it comes to data analysis: just import your data and then apply various manipulation techniques in order to extract relevant statistical information. To conclude, Past is a great tool to have around when dealing with scientific data.
Filed underPast was reviewed by Iulia Ivan
Past 4.02add to watchlistsend us an update
- runs on:
- OS X 10.8 or later (Intel only)
- file size:
- 10.4 MB
- main category:
- visit homepage
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