Mac R Install

Topics Map > OS and Desktop Applications > Operating Systems > Mac OS X

This document details how to delete/reset network adapters in OS X.

Mac R Install

Mac reset network quick fix 10.6 10.7 10.8 reinstall reset delete deleting wifi wi-fi Suggest keywords: Doc ID: 26681: Owner: Jeff W. Group: DoIT Help Desk: Created: 2012-10-03 12:31 CDT: Updated: 2019-02-24 11:36 CDT: Sites: DoIT Help Desk, DoIT Tech Store: Feedback: 46 85 Comment Suggest a new document. In order, they (1) install the devtools package which gets you the installgithub function, (2) install the IR Kernel from github, and (3) tell Jupyter where to find the IR Kernel. Open Jupyter Lab and enjoy your new R kernel! Open Anaconda Prompt and type in jupyter lab. Jupyter Lab should launch and display both a python and R kernel.

Note: You will need Administrative privileges on the computer to perform this action.

  1. Open System Preferences from within the Apple menu.

  2. Choose the Network option.

  3. Highlight the network adapter that is causing difficulties and press the '-' sign in the bottom of the left hand column.

  4. Click Apply in the bottom right hand corner of the page to apply these changes.

  5. It is strongly recommended that you restart the computer to apply these changes.

  6. After restarting the machine, open the Network panel by repeating Steps 1-2.

  7. If the adapters which you previously removed have not appeared, you will need to press the '+' sign in the bottom of the left hand column.

  8. Choose the interface of the adapter that you deleted prior to restarting your computer and click Create.

  9. After clicking Apply, this adapter should be added and functional once again.

See Also:

Keywords:mac reset network quick fix 10.6 10.7 10.8 reinstall reset delete deleting wifi wi-fiSuggest keywordsDoc ID:26681
Owner:Jeff W.Group:DoIT Help Desk
Created:2012-10-03 12:31 CDTUpdated:2019-02-24 11:36 CDT
Sites:DoIT Help Desk, DoIT Tech Store
Feedback:4685CommentSuggest a new document

This section applies only to platforms where binary packages are available: Windows and CRAN builds for macOS.

R packages are primarily distributed as source packages, but binary packages (a packaging up of the installed package) are also supported, and the type most commonly used on Windows and by the CRAN builds for macOS. This function can install either type, either by downloading a file from a repository or from a local file.

Possible values of type are (currently) 'source', 'mac.binary', 'mac.binary.el-capitan' and 'win.binary': the appropriate binary type where supported can also be selected as 'binary'.

Mac Os Install R

For a binary install from a repository, the function checks for the availability of a source package on the same repository, and reports if the source package has a later version, or is available but no binary version is. This check can be suppressed by using

and should be if there is a partial repository containing only binary files.

Mac R Install

An alternative (and the current default) is 'both' which means ‘use binary if available and current, otherwise try source’. The action if there are source packages which are preferred but may contain code which needs to be compiled is controlled by getOption('install.packages.compile.from.source'). type = 'both' will be silently changed to 'binary' if either contriburl or available is specified.

Using packages with type = 'source' always works provided the package contains no C/C++/Fortran code that needs compilation. Otherwise,

on Windows

you will need to have installed the Rtools collection as described in the ‘R for Windows FAQ’ and you must have the PATH environment variable set up as required by Rtools.

For a 32/64-bit installation of R on Windows, a small minority of packages with compiled code need either INSTALL_opts = '--force-biarch' or INSTALL_opts = '--merge-multiarch' for a source installation. (It is safe to always set the latter when installing from a repository or tarballs, although it will be a little slower.)

When installing a binary package, install.packages will abort the install if it detects that the package is already installed and is currently in use. In some circumstances (e.g., multiple instances of R running at the same time and sharing a library) it will not detect a problem, but the installation may fail as Windows locks files in use.

On Unix-alikes,

Mac Ports Install R

when the package contains C/C++/Fortran code that needs compilation, on macOS you need to have installed the ‘Command-line tools for Xcode’ (see the ‘R Installation and Administration Manual’) and if needed by the package a Fortran compiler, and have them in your path.