How To Install Library In R Mac

The aim of devtools is to make your life as a package developer easier by providing R functions that simplify many common tasks. R packages are actually really simple, and with the right tools it should be easier to use the package structure than not. Package development in R can feel intimidating, but devtools does every thing it can to make it as welcoming as possible. devtools comes with a small guarantee: if because of a bug in devtools a member of R-core gets angry with you, I will send you a handwritten apology note. Just forward me the email and your address, and I'll get a card in the mail.

Add RLIBS=/R/library to the /.Renviron file; Restart R and install our packages. For this tutorial, I’m using /R/library for the custom library, but you can set it to any folder you wish. The first step, create the directory. Note that this will give you a warning message if the directory already exists. Install the release version of devtools from CRAN with install.packages('devtools'). Make sure you have a working development environment. Windows: Install Rtools. Mac: Install Xcode from the Mac App Store. Linux: Install a compiler and various development libraries (details vary across differnet flavors of Linux). Nov 06, 2010 This is a short post giving steps on how to actually install R packages. Let’s suppose you want to install the ggplot2 package. Well nothing could be easier. We just fire up an R shell and type: install.packages('ggplot2') In theory the package should just install, however. Nov 01, 2017 The new R version appear right after I install R and restart RStudio. Update: For Mac users, solution 3 is too painful and not working well for me. This method is fast and working well. Installing R on Mac OSX. Installing R on Mac OS is similar to Windows. Once again, The easiest way is to install it through CRAN by going to the CRAN downloads page and following the links as shown in the video below: The next step is to click on the 'R-3.6.2.pkg' (or newer version) file to begin the installation. How to find out R library location in Mac OSX? (finding the path of the R library rj). How to install Java 8 on Mac. R has a large active community and provides functions and extensions to the tool set through external libraries which can be imported as you need and discover them. Installing R & RStudio on a Mac. The installation on a Mac is simple and straight forward. There are 2 installations that are required, the R language and the RStudio front end.

How To Install Library In R Mac Miller

devtools is opinionated about how to do package development, and requires that you use roxygen2 for documentation and testthat for testing. Not everyone agrees with these opinions, and they are by no means perfect, but they have evolved during the process of writing over 30 R packages. I'm always happy to hear about what doesn't work for you, and any places where devtools gets in your way. Either send an email to the rdevtools mailing list or file an issue.

Updating to the latest version of devtools

You can track (and contribute to) development of devtools at https://github.com/hadley/devtools. To install it:

  1. Install the release version of devtools from CRAN with install.packages('devtools').

  2. Make sure you have a working development environment.
    • Windows: Install Rtools.
    • Mac: Install Xcode from the Mac App Store.
    • Linux: Install a compiler and various development libraries (details vary across differnet flavors of Linux).

  3. Follow the instructions below depending on platform.

    • Mac and Linux:

    • Windows:

Package development tools

All devtools functions accept a path as an argument, e.g. load_all('path/to/path/mypkg'). If you don't specify a path, devtools will look in the current working directory - this is recommend practice.

Frequent development tasks:

  • load_all() simulates installing and reloading your package, loading R code in R/, compiled shared objects in src/ and data files in data/. During development you usually want to access all functions so load_all() ignores the package NAMESPACE. load_all() will automatically create a DESCRIPTION if needed.

  • document() updates documentation, file collation and NAMESPACE.

  • test() reloads your code, then runs all testthat tests.

Building and installing:

  • install() reinstalls the package, detaches the currently loaded version then reloads the new version with library(). Reloading a package is not guaranteed to work: see the documentation to unload() for caveats.

  • build() builds a package file from package sources. You can can use it to build a binary version of your package.

  • install_github() installs an R package from github, install_gitorious() from gitorious, install_bitbucket() from bitbucket, install_url() from an arbitrary url and install_file() from a local file on disk. install_version() installs a specified version from cran.

Check and release:

  • check() updates the documentation, then builds and checks the package. build_win() builds a package using win-builder, allowing you to easily check your package on windows.

  • run_examples() will run all examples to make sure they work. This is useful because example checking is the last step of R CMD check.

  • check_doc() runs most of the documentation checking components of R CMD check

  • release() makes sure everything is ok with your package (including asking you a number of questions), then builds and uploads to CRAN. It also drafts an email to let the CRAN maintainers know that you've uploaded a new package.

Other commands:

  • bash() opens a bash shell in your package directory so you can use git or other command line tools.

    Library anykl on mac os. It’s just that, starting in Lion, and continuing in Mountain Lion, Mavericks, and Yosemite, Apple has made the folder invisible.The reason for this move is presumably that people unfamiliar with the inner workings of OS X often open /Library and start rooting around, moving and deleting files, only to later discover that programs don’t work right, application settings are gone, or—worse—data is missing.

  • wd() changes the working directory to a path relative to the package root.

Development mode

Calling dev_mode() will switch your version of R into 'development mode'. In this mode, R will install packages to ~/R-dev. This is useful to avoid clobbering the existing versions of CRAN packages that you need for other tasks. Calling dev_mode() again will turn development mode off, and return you to your default library setup.

Other tips

I recommend adding the following code to your .Rprofile:

See the complete list in ?devtools

This will set up R to:

  • always install packages from the RStudio CRAN mirror
  • ignore newlines when browse()ing
  • give minimal output from traceback()
  • automatically load devtools in interactive sessions

There are also a number of options you might want to set (in .Rprofile) to customise the default behaviour when creating packages and drafting emails:

  • devtools.name: your name, used to sign emails
  • devtools.desc.author: your R author string, in the form of 'Hadley Wickham <h.wickham@gmail.com> [aut, cre]'. Used when creating default DESCRIPTION files.
  • devtools.desc.license: a default license used when creating new packages

Changing the Default Library in Rstudio to a Different Default Library (Temporary)

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How To Install Library In R Mac Download

Many users have R installed in a personal workspace, but want to install packages into a common area so that their entire team can use them and preserve version consistency. It is also common to need to install R packages, but users can encounter problems due to lacking administrator permissions on the computer on which they are working. Using the default install.packages command can result in a series of frustrating messages like this:

To address these issues, you will need to change the RStudio package library to a location for which you have access permissions.
First, launch RStudio. Then, see where your default library currently lies. You can view the current library path(s) by running the following command in the R console in RStudio:

You will see output like this:


In this particular case, there is a default common library, C:/Program Files/R/R-3.4.1/library, along with a personal library, C:/User/Kevin/Documents/R/win-library/3.4. If you click on the Install Packages… menu item from the Tools menu:


You can see the first library shows up as the installation location. In this instance, it is the personal library.


It is important to make sure you are running RStudio with the correct privileges. Notice what happens if I select the dropdown in Install to Library:


Where’s the common library? In this case, I do not see it because I didn’t run RStudio as an administrator, even though I am an administrator on this machine. Relaunching properly gets me this:


Much Better!

On a one-time basis, you can simply choose where you want to install your package, but let’s say you don’t want to have to remember to select the common library each time. To change the default, you just need to swap positions. Let’s try that by running the following commands in the R console:

Now view the results using the Tools -> Install Packages… menu:

How To Install R Package


Now the common library is the default.

Adding a New Library Path for Packages - Temporary

Let’s say you want to install and use packages in a custom library, say C:CustomR. You need to add it to the current list of library paths and make it the default if appropriate.
Don’t forget about the forward slash in the path. Also, if you forget to create the directory, R will ignore the command.

So assuming you created a directory called C:CustomR, and you want to add it as a new path, you will need to run the following commands in the R console:

This is just one way to add a path but not the only way. I like this particular approach because it is very flexible. Go back to the Tools -> Install Packages… menu and see the result:

Making Your Library Changes Permanent

Finally, you many have noticed that the steps above only last for the current R session. To make the changes permanent, you will need to change the Rprofile file for your instance of R/RStudio. This is a little tricky if you have multiple version of R running. To determine what you are interested in and where to go, do the following:

Run the Tools->Global Options menu in RStudio. You should be in the General tab. Take note of the R version path:


Navigate to the ./library/base/R path beneath it and find the Rprofile file, like in this case:


Open up this file in a standard text editor. It is the startup file used by R to handle global settings and is run every time you launch an instance. To avoid breaking any existing code, I find it best to put custom code at the bottom. Use the code above to ensure the correct libraries are inserted into your environment at startup. For the example above, I used this:


Restart RStudio (as administrator is necessary) and check out your new settings.


Happy trails and keep coding!


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