Vitamin-R creates the optimal conditions for your brain to work at its best by structuring your work into short bursts of distraction-free, highly focused activity alternating with opportunities for renewal, reflection and intuition.
The built-in task logging and statistics features create a positive momentum towards productivity by providing visible feedback on your progress and achievements.
R-Wipe & Clean is a data erasure tool that is developed by R-Tools Technology. It is also the R-studio data erasure solution that can prevent erased data from being recovered by data recovery software including R-studio data recovery.
Features
- Time Slice Your Work. Vitamin-R breaks down large, vaguely defined tasks into a series of short 'time slices' of between 10 and 30 minutes, each with specific, easily reachable and actionable objectives. During these time slices it keeps you focused on accomplishing only this one objective and provides you with mechanisms for dealing with interruptions, poor concentration, etc.
- Get Started. Vitamin-R concentrates on getting you started allowing you to break through the resistance of procrastination and create a positive feedback loop of small achievements that get you closer to your ultimate aims. You will experience less stress caused by looming deadlines and a lack of clear direction, thus enabling you to enjoy guilt-free breaks that allow your intuition and creativity to emerge.
- Find Your Rhythm. Each one of us is different. Finding out what works best for you is the key to true productivity. Vitamin-R helps you by giving you the tools to gain more awareness of how you spend your time, what works for you and what does not. Armed with this new knowledge, you can eliminate unproductive work patterns and discover the work rhythm that suits you best.
- Get It Out of Your Head Quickly. Did you know that your short term memory can only hold 4-6 'chunks' of information? The slightest interruption and it's all gone and you have to start from scratch. That's why Vitamin-R provides you with the 'Now and Later Board', complete with FastType magic, to give you a place to quickly dump all those things that go through your head and allow you to quickly return to your task.
- Make It Your Own. Vitamin-R plugs into your life rather than trying to take it over. You can use it occasionally to overcome procrastination or mental blocks or re-organize your entire working life around the concepts that it embodies. It complements rather than replaces traditional to-do list managers, such as Things or OmniFocus for which direct integrations exist.
- Now With Cloud Synching! If you routinely work on multiple Macs, you will love Vitamin-R's new ability to effortlessly synch your time slice log across the cloud using the free Dropbox service. Setup is as easy as ticking a checkbox.
- Recapture the lost of art of joyful concentration. Overcome procrastination. Rediscover the motivation within yourself.
Development Tools and Libraries
This directory contains tools and libraries that are part of the base distribution of R for Mac OS X.
- Tools NOTE: some links may be broken - older binaries have been lost in an incident. Mandatory tools In order to compile R for Mac OS X 10.4 or higher, you will need the following tools: (for Mac OS X 10.5 and higher look further down).
- Universal GNU Fortran 4.2.3 for Mac OS X 10.4 and higher. It is necessary in order to build R packages from sources that contain Fortran code. Unlike many other builds, this is a fully universal build of GNU Fortran that uses Apple's driver and supports all target architectures (i386, ppc, x86_64 and ppc64).
Note: CRAN does not have Mac OS X systems and cannot check these binaries for viruses.Altough we take precautions when assembling binaries, please use the normal precautions with downloaded executables.
Important note: R 3.5.0 El Capitan binaries and higer are using more recent Clang compiler and GNU Fortran 6.1 to provide OpenMP parallelization support and C++17 standard features. If you want to compile R packages from sources, please download GNU Fortran binary from the official GNU Fortran Binaries page - in particular OS X 10.11 gfortran 6.1. Alternatively, we are providing a copy here as well as Clang binaries for OS X 10.11 and higher - see below for the download links. It is not recommended to use clang from Xcode as it is outdated and is lacking important features such as OpenMP support.
Files:
| clang-8.0.0.pkg (OS X 10.11+, signed, 64-bit) MD5-hash: 664582b0722cb59802cb762b2ad7548b (ca. 482Mb) | Clang 8.0.0 for OS X 10.11 and higher, release build for x86_64, signed package, installs into /usr/local/clang8. To be used with El Capitan builds of R 3.7.0 and higher. It is an installer version of the official LLVM released binaries only modified to use the path above. |
| clang-7.0.0.pkg (OS X 10.11+, signed, 64-bit) MD5-hash: cef3fd2a5c165d00f9941f64ea4024f7 (ca. 463Mb) | Clang 7.0.0 for OS X 10.11 and higher, release build for x86_64, signed package, installs into /usr/local/clang7. To be used with El Capitan builds of R 3.6.x. It is an installer version of the official LLVM released binaries only modified to use the path above. |
| clang-6.0.0.pkg (OS X 10.11+, signed, 64-bit) MD5-hash: c29700c4e7b2914073ef7e741eb105bc (ca. 418Mb) | Clang 6.0.0 for OS X 10.11 and higher, static build for x86_64, signed package, installs into /usr/local/clang6. To be used with El Capitan builds of R 3.5.x. |
| gfortran-6.1.pkg (OS X 10.11+, signed, 64-bit) MD5-hash: 201026216e8b373d9cd2efc0cc474bb8 (ca. 73Mb) | GNU Fortran 6.1 for OS X 10.11 and higher - a copy from GFortranBinaries pages for x86_64, signed package, installs into /usr/local/gfortran (identical content, re-packaged to a flat Installer package and signed). To be used with El Capitan builds of R. |
| The following binaries are obsolete and only provided for historical reasons | |
| gfortran-4.2.3.pkg (OS X 10.5+, signed, 64-bit driver) MD5-hash: 8783f803038abe6487a362ad5b8995ea (ca. 27MB) gfortran-4.2.3.dmg (OS X 10.4, 32-bit driver) MD5-hash: 9551fc46f55537dd1db581154daf27ef (ca. 27MB) | Universal GNU Fortran 4.2.3 for Mac OS X 10.4 and higher. It is necessary in order to build R packages from sources that contain Fortran code. Unlike many other builds, this is a fully universal build of GNU Fortran that uses Apple's driver and supports all target architectures (i386, ppc, x86_64 and ppc64). As such it fully supports compilation into fat files like gfortran -arch i386 -arch ppc -arch x86_64 -arch ppc64 t.f -o ton both Intel Macs and PowerPC Macs (32- and 64-bit). Dependent libraries are fat as well, avoiding problems known from other Fortran builds (such as those from HPC). It installs in /usr/local and comes with an uninstall-script. |
| tcltk-8.5.5-x11.pkg (OS X 10.5+, signed) MD5-hash: e7c406d91762ffdc4539b23c5b5a3ab4 (ca. 9MB) tcltk-8.5.5-x11.dmg (OS X 10.4) MD5-hash: c32dda1b9f2c2776a02cec4e03befc76 (ca. 9MB) | Universal build of Tcl/Tk 8.5.5 for X11 (32-bit and 64-bit). This library is necessary in order to use the tcltk R package (for R 2.8.0 - 2.15.3 only!). It installs in /usr/local. Requires Mac OS X 10.4 (Tiger) or higher for 32-bit R and Mac OS X 10.5 (Leopard) or higher for 64-bit R. NOTE: R 3.0.0 and higher comes bundled with Tck/Tk 8.6.0 so you do not need this package |
For other (optional) 3rd party libraries for development see http://mac.R-project.org/libs/. The devpack has been superseded by those libraries. For R you may want to download and install libpng, libjpeg, readline, freetype, fontconfig, pixman and cairo.
Source code for all 3rd party libraries can be found at http://mac.R-project.org/src/
The dependency libraries used by the CRAN macOS build system are now managed by build recipes. Package authors wishing to add static dependendies can create a pull request to add a dependency.
R Software For Mac
Subdirectories:
| old | Previous versions of tools as supplied with legacy R versions. |
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! The page also contains links to experimental builds as such 64-bit R for OS X.
Link to corresponding sources: http://mac.R-project.org/src/
R Tool For Machine Learning
Last modified: 2019/04/26, by Simon Urbanek