R-2.15.2 for Windows (32/64 bit) Download R 2.15. If you want to double-check that the package you have downloaded exactly matches the package distributed by R. Jun 25, 2020 Download the latest version of R for Mac - Statistical computing and graphics. Read 15 user reviews of R on MacUpdate. I've tried searching the CRAN site but I can't seem to find the version for R 2.15.0. This is how I did it for mac: 1) Download the. Install 'e1071' in R on Mac. Click on the link Download R for MacOS X, which appears near the top of the page; then click on R-2.15.1.pkg (latest version) (or whatever is the current version at the time of download). Once it is downloaded, double-click on the R installer. You may take all of the defaults.
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Get started using extensions for SPSS Statistics and Modeler
You can add new features in IBM SPSS Modeler and SPSS Statistics using IBM Predictive Extensions. There are more than 200 extensions available in the catalog. It just takes three steps to get started:
New to using extensions in IBM SPSS Statistics or Modeler? Download RClick the buttons on the left to set up your system to run extensions, then check out our GitHub page to find and install the extensions you want.
To use extensions written in R, you need the correct version of R installed on your system. Reference the table below to see which version of R you need. If you do not have the required version installed, click link to find the download for your system.
Mac user? Use the table above to determine the version of R needed then go to this page or here to download. Download Python
During the installation process for SPSS Statistics version 22 or later, there is an option to install the version of Python needed for extensions. If you did not install Python during installation or are using an older version, you will need to download and install Python version 2.7.
R Essentials for Statistics or Modeler on GitHub Python and .NET Essentials for SPSS Statistics
R Essentials enables using R within SPSS Statistics or Modeler. Each SPSS product and version has a different R Essentials, so choose the right download for your version. Download the version for your platform and follow the installation instructions. Be sure to read the installation instructions. You must download and install the appropriate R version from the R CRAN site before installing the Essentials. ![]() The Python Essentials for Statistics versions 22 and later are fully integrated with the main Statistics installation. They are no longer a separate item. You can install additional extension commands or update ones already installed from the Utilities menu within Statistics. The .NET plugins for versions 22 and later (Windows only) remains a separate download from the site where you download Statistics. It is also included on the physical media. Use the table below as a guide for different versions of SPSS Statistics. Important: Support for the .NET Plugin is deprecated starting with IBM SPSS Statistics 25. The .NET Plugin is supported only in versions prior to version 25. For version 25, and all subsequent releases (including Subscription), you can build the .NET Plugin functionality via the Programmability SDK package. IBM no longer provides the .NET Plugin installer or corresponding support.
Click the button below to see the extensions currently available on the IBM Predictive Analytics GitHub page. Add to what you can get done in SPSS Statistics and Modeler by getting extensions that connect to APIs, plot geospatial data, add external data sources, process advanced statistical techniques not currently featured in the products, and many other things.
My 12' iBook G4 is celebrating its 8th birthday today! Time for a little present. How about R 2.14.0?
The iBook is still in daily use, mostly for browsing the web, writing e-mails and this blog; and I still use it for R as well. For a long time it run R 2.10.1, the last PowerPC binary version available on CRAN for Mac OS 10.4.11 (Tiger).
But, R 2.10.1 is a bit dated by now and for the development of my googleVis package I require at least R 2.11.0. So I decided to try installing the most recent version from source, using Xcode 2.5 and TeXLive-2008.
R 2.14.0 is expected to be released on Monday (31st October 2011). The pre-release version is already available on CRAN. I assume that the pre-release version is pretty close to the final version of R 2.14.0, so why wait?
It was actually surprisingly easy to compile the command line version of R from sources. The GUI would be a nice to have, but I am perfectly happy to run R via the Terminal, xterm and Emacs. However, it shouldn’t be a surprise that running configure, make, make install on a 800 Mhz G4 with 640MB memory does take its time.
Below you will find the building details. Please feel free to get in touch with me, if you would like access to my Apple Disk Image (dmg) file. You find my e-mail address in the maintainer field of the
googleVis package.
Building R from source on Mac OS 10.4 with Xcode 2.5 (gcc-4.0.1)R 2.15 Download Mac Installer
Before you start, make sure you have all the Apple Developer Tools installed. I have Xcode installed in
/Developer/Applications .
From the pre-release directory on CRAN I downloaded the file R-rc_2011-10-28_r57465.tar.gz.
After I downloaded the file I extracted the archive and run the configure scripts to build the various Makefiles. To do this, I opened the Terminal programme (it’s in the Utilities folder of Applications), changed into the directory in which I stored the tar.gz-file and typed:This process took a little while (about 15 minutes) and at the end I received the following statement:With all the relevant Makefiles in place I could start the build process via:Now I had time for a cup of tea, as the build took about one hour. Finally, to finish the installation, I placed the new R version into its place in /Library/Frameworks/ by typing:Job done. Let’s test it:The installation of additional packages worked straightforward via
Download Mac Browserinstall.packages(c(“vector of packages”)) , though it took time, as everything was build from sources. This it what it looks like on my iBook G4 today:
Update (3 June 2012)Just updated my R installation to R-2.15.0 and the above procedure still worked. But I had to be patient. It took at least an hour to compile R and the core packages.Update (1 June 2013)R 2.15 Download Mac DownloadJust updated my R installation to R-3.0.1 and the above procedure still worked. The iBook will be 10 years old soon and is still going strong. Not bad for such an old laptop.R 2.15 Download Mac IsoRelatedComments are closed.
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